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Approaching Open Research via Open Data - Presentation at TERI, December 22, 2015
https://cis-india.org/openness/approaching-open-research-via-open-data-2015
<b>The Energy and Resources Institute (TERI), Delhi, organised a seminar on 'Open Access in Research Area: A Strategic Approach' on December 22, 2015. We supported the seminar as a knowledge partner. Sumandro Chattapadhyay was invited to deliver a special address. Here are the notes and slides from the presentation.</b>
<p> </p>
<p>The brief presentation foregrounded <em>open data</em> as a crucial part of open research, and also as an instrument of opening up research for public consumption, discussion, and scrutiny.</p>
<p>The presentation started with reference to the <a href="http://cis-india.org/openness/open-access-dialogues-report">Open Access Dialogues</a> organised by The African Commons Project and the Centre for Internet and Society during November 2012 to March 2013 that explored the global open access agenda from a developing world perspective.</p>
<p>I noted that one of the key findings from the Indian participants of the online consultations organised as part of the Open Access Dialogues was the need for a <em>broader vision of open access</em>. Open research data is a key component of this broader vision of open access and open research.</p>
<p>There was a brief discussion of how to start doing and thinking about open data as an approach to open research. I highlighted the need to get started on 1) getting government to open up data relevant to research, 2) opening up academic research data, and 3) sectoral conversations on data standards (technical and semantic); as well as the need to think about 1) open data as bridge across disciplinary communities, 2) quantification of life and the widening sphere of research data, and 3) academic research and public life.</p>
<p>In next slides, I quickly mentioned the international processes going on in the open data landscape - the conversation on open data and Sustainable Development Data, the possibility of using big (social and telecom) data for purposes of development monitoring, and the International Open Data Charter as a set of global principles for open data.</p>
<p>More about the seminar: <a href="http://cis-india.org/openness/teri-seminar-on-open-access-in-research">http://cis-india.org/openness/teri-seminar-on-open-access-in-research</a>.</p>
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<p><iframe src="//www.slideshare.net/slideshow/embed_code/key/la5ulZYBT15DiL" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" height="485" width="595"> </iframe></p>
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For more details visit <a href='https://cis-india.org/openness/approaching-open-research-via-open-data-2015'>https://cis-india.org/openness/approaching-open-research-via-open-data-2015</a>
</p>
No publishersumandroOpen DataOpen ResearchOpen Government DataOpenness2016-01-12T14:37:38ZBlog EntryPre-Budget Consultation 2016 - Submission to the IT Group of the Ministry of Finance
https://cis-india.org/openness/pre-budget-consultation-2016-submission-to-the-ministry-of-finance
<b>The Ministry of Finance has recently held pre-budget consultations with different stakeholder groups in connection with the Union Budget 2016-17. We were invited to take part in the consultation for the IT (hardware and software) group organised on January 07, 2016, and submit a suggestion note. We are sharing the note below. It was prepared and presented by Sumandro Chattapadhyay, with contributions from Rohini Lakshané, Anubha Sinha, and other members of CIS.</b>
<p> </p>
<p>It is our distinct honour to be invited to submit this note for consideration by the IT Group of the Ministry of Finance, Government of India, as part of the pre-budget consultation for 2016-17.</p>
<p>The Centre for Internet and Society is (CIS) is a non-profit organisation that undertakes interdisciplinary research on internet and digital technologies from policy and academic perspectives. The areas of focus include digital accessibility for persons with diverse abilities, access to knowledge, intellectual property rights, openness (including open data, free and open source software, open standards, open access, open educational resources, and open video), internet governance, telecommunication reform, digital privacy, and cyber-security. We receive financial support from Kusuma Trust, Wikimedia Foundation, MacArthur Foundation, IDRC, and other donors.</p>
<p>We have divided our suggestions into the different topics that our organisation has been researching in the recent years.</p>
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<h3>Free/Libre and Open Source Software (FLOSS) is the Basis for Digital India</h3>
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<p>We congratulate the policies introduced by the government to promote use of free/libre and open source software and that of open APIs for all e-governance projects and systems. This is not only crucial for the government to avoid vendor lock-in when it comes to critical software systems for governance, but also to ensure that the source code of such systems is available for public scrutiny and do not contain any security flaws.</p>
<p>We request the government to empower the implementation of these policies by making open sharing of source code a necessity for all software vendors hired by government agencies a necessary condition for awarding of tenders. The 2016-17 budget should include special support to make all government agencies aware and capable of implementing these policies, as well as to build and operate agency-level software repositories (with version controlling system) to host the source codes. These repositories may function to manage the development and maintenance of software used in e-governance projects, as well as to seek comments from the public regarding the quality of the software.</p>
<p>Use of FLOSS is not only important from the security or the cost-saving perspectives, it is also crucial to develop a robust industry of software development firms that specialise in FLOSS-based solutions, as opposed to being restricted to doing local implementation of global software vendors. A holistic support for FLOSS, especially with the government functioning as the dominant client, will immensely help creation of domestic jobs in the software industry, as well as encouraging Indian programmers to contribute to development of FLOSS projects.</p>
<p>An effective compliance monitoring and enforcement system needs to be created to ensure that all government agencies are Strong enforcement of the 2011 policy to use open source software in governance, including an enforcement task force that checks whether government departments have complied with this or not.</p>
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<h3>Open Data is a Key Instrument for Transparent Decision Making</h3>
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<p>With a wider set of governance activities being carried out using information systems, the government is increasingly acquiring a substantial amount of data about governance processes and status of projects that needs to be effectively fed back into the decision making process for the same projects. Opening up such data not only allows for public transparency, but also for easier sharing of data across government agencies, which reduces process delays and possibilities of duplication of data collection efforts.</p>
<p>We request the 2016-17 budget to foreground the National Data Sharing and Accessibility Policy and the Open Government Data Platform of India as two key enablers of the Digital India agenda, and accordingly budget for modernisation and reconfiguration of data collection and management processes across government agencies, so that those processes are made automatic and open-by-default. Automatic data management processes minimise the possibility of data loss by directly archiving the collected data, which is increasingly becoming digital in nature. Open-by-default processes of data management means that all data collected by an agency, once pre-recognised as shareable data (that is non-sensitive and anonymised), will be proactively disclosed as a rule.</p>
<p>Implementation of the National Data Sharing and Accessibility Policy has been hindered, so far, by the lack of preparation of a public inventory of data assets, along with the information of their collection cycles, modes of collection and storage, etc., by each union government agency. Specific budgetary allocation to develop these inventories will be crucial not only for the implementation of the Policy, but also for the government to get an extensive sense of data collected and maintained currently by various government agencies. Decisions to proactively publish, or otherwise, such data can then be taken based on established rules.</p>
<p>Availability of such open data, as mentioned above, creates a wider possibility for the public to know, learn, and understand the activities of the government, and is a cornerstone of transparent governance in the digital era. But making this a reality requires a systemic implementation of open government data practices, and various agencies would require targeted budget to undertake the required capacity development and work process re-engineering. Expenditure of such kind should not be seen as producing government data as a product, but as producing data as an infrastructure, which will be of continuous value for the years to come.</p>
<p>As being discussed globally, open government data has the potential to kickstart a vast market of data derivatives, analytics companies, and data-driven innovation. Encouraging civic innovations, empowered by open government data - from climate data to transport data - can also be one of the unique initiatives of budget 2016-17.</p>
<p>For maximising impact of opened up government data, we request the government to publish data that either has a high demand already (such as, geospatial data, and transport data), or is related to high-net-worth activities of the government (such as, data related to monitoring of major programmes, and budget and expenditure data for union and state governments).</p>
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<h3>Promotion of Start-ups and MSMEs in Electronics and IT Hardware Manufacturing</h3>
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<p>In line with the Make in India and Digital India initiatives, to enable India to be one of the global hubs of design, manufacturing, and exporting of electronics and IT hardware, we request that the budget 2016-17 focus on increasing flow of fund to start-ups and Medium and Small-Scale Manufacturing Enterprises (MSMEs) in the form of research and development grants (ideally connected to government, especially defense-related, spending on IT hardware innovation), seed capital, and venture capital.</p>
<p>Generation of awareness and industry-specific strategies to develop intellectual property regimes and practices favourable for manufacturers of electronics and IT hardware in India is an absolutely crucial part of promotion of the same, especially in the current global scenario. Start-ups and MSMEs must be made thoroughly aware of intellectual property concerns and possibilities, including limitations and exceptions, flexibilities, and alternative models such as open innovation.</p>
<p>We request the budget 2016-17 to give special emphasis to facilitation of technology licensing and transfer, through voluntary mechanisms as well as government intervention, such as compulsory licensing and government enforced patent pools.</p>
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<h3>Applied Mathematics Research is Fundamental for Cybersecurity</h3>
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<p>Recent global reports have revealed that some national governments have been actively involved in sponsoring distortion in applied mathematics research so as to introduce weaknesses in encryption standards used in for online communication. Instead of trying to regulate key-length or mandating pre-registration of devices using encryption, as suggested by the withdrawn National Encryption Policy draft, would not be able to address this core emerging problem of weak cybersecurity standards.</p>
<p>For effective and sustainable cybersecurity strategy, we must develop significant expertise in applied mathematical research, which is the very basis of cybersecurity standards development. We request the budget 2016-17 to give this topic the much-needed focus, especially in the context of the Digital India initiative and the upcoming National Encryption Policy.</p>
<p>Along with developing domestic research capacity, a more immediately important step for the government is to ensure high quality Indian participation in global standard setting organisations, and hence to contribute to global standards making processes. We humbly suggest that categorical support for such participation and contribution is provided through the budget 2016-17, perhaps by partially channeling the revenues obtained from spectrum auctions.</p>
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For more details visit <a href='https://cis-india.org/openness/pre-budget-consultation-2016-submission-to-the-ministry-of-finance'>https://cis-india.org/openness/pre-budget-consultation-2016-submission-to-the-ministry-of-finance</a>
</p>
No publishersumandroOpen StandardsOpen SourceCybersecurityOpen DataIntellectual Property RightsOpen Government DataFeaturedPatentsOpennessOpen InnovationEncryption Policy2016-01-12T13:34:41ZBlog EntryInternational Open Data Charter: Comments by CIS
https://cis-india.org/openness/international-open-data-charter-comments-by-cis
<b>The second meeting of Stewards of the International Open Data Charter is in progress in Santiago, Chile, where the revisions made to the Charter based on the comments received during the public consultation period that ended on July 31, 2015, are being re-discussed and finalised by the Stewards. Here we are sharing the comments submitted by us on the first public draft of the Charter published during the International Open Data Conference in Ottawa, Canada, in May 2015. The comments include those submitted by Sumandro and Sharath Chandra Ram.</b>
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<p><strong>The draft International Open Data Charter and all the submitted comments can be accessed here: <a href="http://opendatacharter.net/charter/" target="_blank">http://opendatacharter.net/charter/</a></strong></p>
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<h2>Comments on the Public Draft</h2>
<p><em>Note: The text below contains excerpts from the public draft of the Charter, followed by submitted comments in <strong>bold</strong>.</em></p>
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<p>1) The world is witnessing the growth of a global movement facilitated by technology and digital media and fuelled by information – one that contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, and to spur economic growth.</p>
<p><strong>The word ‘movement’ can perhaps be replaced by ‘transformation.’ ‘Movement’ tends to suggest some kind of unity of purpose or objective, which is not perhaps what is meant here. Also, is it possible to add ‘transparent’ to ‘accountable, efficient, responsive, and effective’?</strong></p>
<p>Open data sit at the heart of this global movement.</p>
<p><strong>Perhaps ‘transformation’ and not ‘movement’.</strong></p>
<p>2) Building a more democratic, just, and prosperous society requires transparent, accountable governments that engage regularly and meaningfully with citizens. Accordingly, there is an ongoing effort to enable collaboration around key social challenges, to provide effective oversight of government activities, to support economic development through innovation, and to develop effective, efficient public policies and programmes.</p>
<p><strong>Perhaps insert ‘sustainable’ before ‘economic development’. In the second sentence, none of the action phrases (‘enable collaboration’ and ‘effective oversight’ and ‘innovation’ and ‘develop effective, efficient’) are speaking about either democracy or justice. The focus seems to be completely on effectiveness. Phrases like ‘transparent’, ‘accountable’, and ‘participatory’ should be introduced here.</strong></p>
<p>Open data is essential to meeting these challenges.</p>
<p><strong>The above point clarifies why ‘data is essential’ but not why ‘open data is essential’. The connection between democracy and justice on one hand, and open data on the other is not yet articulated clearly.</strong></p>
<p>3) Effective access to data allows individuals and organisations to develop new insights and innovations that can generate social and economic benefits to improve the lives of people around the world, and help to improve the flow of information within and between countries. While governments collect a wide range of data, they do not always share these data in ways that are easily discoverable, useable, or understandable by the public.</p>
<p><strong>Along with allowing ‘insights’ and ‘innovations’ to develop, can it also be highlighted that open data make decisions and processes transparent?</strong></p>
<p>This is a missed opportunity.</p>
<p><strong>I agree with above comments that it is perhaps better to articulate this not as ‘missed opportunity’ but to highlight this as the very ‘opportunity’ that the open data agenda is interested in capturing.</strong></p>
<p>4) Today, many people expect to be able to access high quality information and services, including government data, when and how they want. Others see the opportunity presented by government data as one which can provide innovative policy solutions and support economic and social benefits for all members of society. We have arrived at a point at which people can use open data to generate value, insights, ideas, and services to create a better world for all.</p>
<p><strong>This point may also mention that some people are interested in using government data to open up government decisions and processes and make them transparent, which is a necessary condition for making the government accountable.</strong></p>
<p>6) Providing access to government data can drive sustainable and inclusive growth by empowering citizens, the media, civil society, and the private sector to identify gaps, and work toward better outcomes for public services in areas such as health, education, public safety, environmental protection, and governance. Open data can do this by:</p>
<p><strong>Perhaps ‘democratic participation’ can be added after ‘sustainable and inclusive growth’. That is: ‘Providing access to government data can drive sustainable and inclusive growth, and democratic participation, by empowering citizens…’</strong></p>
<p>7) Open government data can be used in innovative ways to create useful tools and products that help to navigate modern life more easily. Used in this way, open data are a catalyst for innovation in the private sector, supporting the creation of new markets, businesses, and jobs. These benefits can multiply as more private sector and civil society organisations adopt open data practices modelled by government and share their own data with the public.</p>
<p><strong>The incentive for private sector and CSOs to open up data is not clear. Overall benefit may rise with them opening up data, but how does a private company / CSO benefit by opening up its data?</strong></p>
<p>8) We, the adherents to the International Open Data Charter, agree that open data are an under-used resource with huge potential to encourage the building of stronger, more interconnected societies that better meet the needs of our citizens and allow innovation and prosperity to flourish.</p>
<p><strong>Along with ‘stronger’ and ‘more interconnected’, please mention ‘more transparent’ and ‘more democratic’. Also it is not clear what is meant by ‘stronger’. ‘[B]etter meet the needs of our citizens’ does not necessarily suggest a more democratic or just society, but a more effective welfare distribution system. Please add ‘… and empower the citizens to ensure accountability of the government.’</strong></p>
<p>9) We therefore agree to follow a set of principles that will be the foundation for access to, and the release and use of, open government data. These principles are:</p>
<ol><li>Open Data by Default;</li>
<li>Quality and Quantity;</li>
<li>Accessible and Useable by All;</li>
<li>Engagement and Empowerment of Citizens;</li>
<li>Collaboration for Development and Innovation</li></ol>
<p><strong>Does it makes sense to remove the ‘Quantity and Quality’ point and merging it with ‘Accessible and Usable by All’? Data quantity and quality issues, along with those related to publication of data, can all logically follow under the topic of data access and use. For example, highly aggregated data published once a year without documentation is not really usable data.</strong></p>
<p>10) We will develop an action plan in support of the implementation of the Charter and its Technical Annexes, and will update and renew the action plan at a minimum of every two years. We agree to commit the necessary resources to work within our political and legal frameworks to implement these principles in accordance with the technical best practices and timeframes set out in our action plan.</p>
<p><strong>We (at CIS) strongly feel that the Charter should also prescribe that along with the national Action Plan, Open Data Citizen’s Charters are created for various levels and verticals of the government. This will clarify data publication responsibilities and targets at ministerial and sub-national (including city) governmental levels, and will allow for much more effective monitoring (national and international) of the Action Plan implementation process.</strong></p>
<p><strong>‘[A]t a minimum of every two years’ reads a bit unclear. Does it mean that the Action Plan should be renewed only after two years and not before, or that the Action Plan should be renewed every two years or before that?</strong></p>
<p>11) We recognise that free access to, and the subsequent use of, government data are of significant value to society and the economy, and that government data should, therefore, be open by default.</p>
<p><strong>Along with clarifying the scope of ‘government data,’ the idea of ‘open’ in the context of data needs a clear definition as an independent point. The document is getting into ‘open by default’ without clarifying what is ‘open’, including both necessary and sufficient conditions.</strong></p>
<p>12) We acknowledge the need to promote the global development and adoption of tools and policies for the creation, use, and exchange of open data and information.</p>
<p><strong>I agree with Mike Linksvayer. This is a great opportunity for the Charter to connect the open data agenda with the wider open agendas, especially that of free and open source softwares. It is very important that this point promotes ‘global development of free and open source tools’.</strong></p>
<p><strong>Extending the comment by Jose Subero, along with ‘tools’ and ‘policies’, it will be great to have a mention of ‘standards’ here, which is critical for ensuring ‘interoperability’ and thus ‘harmonisation’.</strong></p>
<p>13) We recognise that the term ‘government data’ is meant in the widest sense possible. This could apply to data held by national, federal, and local governments, international government bodies, and other types of institutions in the wider public sector. This could also apply to data created for governments by external organisations, and data of significant benefit to the public which is held by external organisations and related to government programmes and services (e.g. data on extractives entities, data on transportation infrastructure, etc).</p>
<p><strong>It is wonderful that the point promotes a wide understanding of ‘government data’ but at the same time it should also define a necessary core understanding of data, just to ensure that governments do not interpret this point too narrowly.</strong></p>
<p><strong>Further, a focus only on data created by public agencies can perhaps be too narrow (for the necessary/core understanding of ‘government data’). With public services delivered increasingly by private agencies and public-private-partnerships, it is crucial that ‘government data’ should explicitly include any data coming out of a process funded by public money (the process may be carried out by a public agency or not). This is an extremely important point from a developing country perspective.</strong></p>
<p>14) We recognise that there is domestic and international legislation, in particular pertaining to security, privacy, confidentiality, intellectual property, and personally-identifiable and other sensitive information, which must be observed and/or updated where necessary.</p>
<p><strong>From a developing country perspective, it is very important that the Charter does not keep this critical point dependent on domestic and international legislations. International legislation may not be very developed for all of the mentioned topics, and many countries may not have existing domestic legislations on these topics either. The Charter should mention an internationally acceptable list of concerns / criteria for not opening up data. The list may include the topics mentioned here, like privacy and national security. This need not be a list of sufficient criteria, but of necessary ones.</strong></p>
<p>15) We will:</p>
<ul><li>develop and adopt policies and practices to ensure that all government data is made open by default, as outlined in this Charter, while recognising that there are legitimate reasons why some data cannot be released;</li></ul>
<p><strong>'Administrative reforms’ are most often crucial to make government data ‘open by default, and the same should be mentioned along with ‘policies’ and ‘practices’.</strong></p>
<ul><li>provide clear justifications as to why certain data cannot be released;</li></ul>
<p><strong>This is a great point. Perhaps it can be added that all government agencies should produce a list of all data assets maintained by them, point out the ones that cannot be made open, and provide clear justification as to why those cannot be released. This comment pre-empts 19.1. Perhaps this point about providing justification for not releasing data can be merged with 19.1.</strong></p>
<ul><li>develop the leadership, management, oversight, and internal communication policies necessary to enable this transition to a culture of openness.</li></ul>
<p><strong>Along with ‘leadership, management, oversight, and internal communication’, is it possible to add ‘incentives’? This is often overlooked in implementing open data policies.</strong></p>
<p>16) We recognise that governments and other public sector organisations hold vast amounts of information that may be of interest to citizens, and that it may take time to identify data for release or publication.</p>
<p>17) We also recognise the importance of consulting with citizens, other governments, non-governmental organisations, and other open data users, to identify which data to prioritise for release and/or improvement.</p>
<p>18) We agree, however, that governments’ primary responsibility should be to release data in a timely manner, without undue delay.</p>
<p><strong>Points 16-18 seem to suggest that the ‘quantity and quality’ issue is mostly one of prioritisation. This can be misleading. This is perhaps the ‘quantity’ issue, but not at all the ‘quality’ issue.</strong></p>
<p>19) We will:</p>
<ul><li>...</li>
<li>release high-quality open data that are timely, comprehensive, and accurate in accordance with prioritisation that is informed by public requests. To the extent possible, data will be released in their original, unmodified form and at the finest level of granularity available, and will also be linked to any visualisations or analyses created based on the data, as well as any relevant guidance or documentation;</li></ul>
<p><strong>Please add ‘human- and machine-readable’ along with ‘timely, comprehensive, and accurate’.</strong></p>
<p><strong>Put ‘, and’ between ‘, and accurate’ and ‘in accordance’.</strong></p>
<p><strong>‘Relevant guidance or documentation’ should be mentioned before, and not after, ‘visualisations or analyses’.</strong></p>
<ul><li>ensure that accompanying documentation is written in clear, plain language, so that it can be easily understood by all;</li></ul>
<p><strong>Add that the documentation should be ‘comprehensive’, along with being written in plain language.</strong></p>
<ul><li>make sure that data are fully described, and that data users have sufficient information to understand their source, strengths, weaknesses, and any analytical limitations;</li></ul>
<p><strong>Regarding ‘Full description of data’ — Aggregate data must be accompanied by low level raw data along with details of analytical methods used to arrive at figures. This allows for verification as well as alternate views and detection of statistical anomalies.</strong></p>
<ul><li>ensure that open datasets include consistent core metadata, and are made available in human- and machine-readable formats under an open and unrestrictive licence;</li></ul>
<p><strong>Is this the necessary definition of ‘open data’? If so, it should be much higher up.</strong></p>
<ul><li>allow users to provide feedback, and continue to make revisions to ensure the quality of the data is improved as needed; and</li></ul>
<p><strong>This point should clarify if it is talking about making revisions of the data itself (its content), or how it is being published (its form), or both?</strong></p>
<ul><li>apply consistent information lifecycle management practices, and ensure historical copies of datasets are preserved, archived, and kept accessible as long as they retain value.</li></ul>
<p><strong>The ‘as long as they retain value’ part seems vague. Who is going to take this decision about value? Is it possible to rephrase this as ‘as long as they are demanded by data users’?</strong></p>
<p>21) We recognise that open data should be made available free of charge in order to encourage their widest possible use.</p>
<p><strong>Maybe ‘government data’ and not ‘open data’ (open data already means it is available gratis). Also, along with ‘free of charge’ maybe add ‘under open license’, as that is a critical requirement for ‘widest possible use.’</strong></p>
<p>22) We recognise that when open data are released, they should be made available without bureaucratic or administrative barriers, such as mandatory user registration, which can deter people from accessing the data.</p>
<p><strong>I strongly believe that this point should be removed. Registration of the data user can also be very useful for the government agencies to track demand and actual usage of their datasets. Instead of the government agencies doing such kind of tracking as a background process, it is much better if the data usage monitoring of all users is done transparently. Along with perhaps a public dashboard of data usages of the users of an open data portal. As long as the registration barrier does not involve an approval process by the government agency, it can be allowed.</strong></p>
<p><strong>A more general point should be added as part of this principle, regarding no-discrimination (or approval process) among data users interested in accessing and using of open government data.</strong></p>
<p>23) We will:</p>
<ul><li>release data in open formats and free of charge to ensure that the data are available to the widest range of users to find, access, and use them. In many cases, this will include providing data in multiple formats, so that they can be processed by computers and used by people; and</li></ul>
<p><strong>Please add ‘open license’ along with ‘open formats’ and ‘free of charge’.</strong></p>
<p>24) We recognise that the release of open data strengthens our public and democratic institutions, encourages better development, implementation, and assessment of policies to meet the needs of our citizens, and enables more meaningful, better informed engagement between governments and citizens.</p>
<p><strong>Perhaps add ‘, and makes them transparent’ after ‘strengthens our public and democratic institutions’. Please also add ‘monitoring’ along with ‘development, implementation, and assessment’.</strong></p>
<p>25) We will:</p>
<ul><li>implement oversight and review processes to report regularly on the progress and impact of our open data initiatives;</li></ul>
<p><strong>The functioning of these ‘oversight and review processes’ must be open and transparent themselves. The reporting should be public.</strong></p>
<ul><li>engage with community and civil society representatives working in the domain of transparency and accountability to determine what data they need to effectively hold governments to account; encourage the use of open data to develop innovative, evidence-based policy solutions that benefit all members of society, as well as empower marginalised groups; and</li></ul>
<p><strong>This must also include a point regarding the government proactively seeking data demands from citizens, CSOs, academics, and the private sector.</strong></p>
<p><strong>‘as well as empower marginalised groups’ is too vague. Perhaps it can be made into a separate point, and qualified with what kinds of empowerment is needed – from demanding data, to accessing and using data, to be aware of the data collected from such groups by the government agencies.</strong></p>
<ul><li>be transparent about our own data collection, standards, and publishing processes, by documenting all of these related processes online.</li></ul>
<p><strong>This should be part of point 19.</strong></p>
<p>26) We recognise the importance of diversity in stimulating creativity and innovation. The more citizens, governments, civil society, and the private sector use open data, the greater the social and economic benefits that will be generated. This is true for government, commercial, and non-commercial uses.</p>
<p><strong>The diversity point is almost already made with points 20-21 – widest possible users lead to widest possible use.</strong></p>
<p>28) We will:</p>
<ul><li>...</li>
<li>engage with civil society, the private sector, and academic representatives to determine what data they need to generate social and economic value;</li></ul>
<p><strong>This is also covered under the Principle 3.</strong></p>
<ul><li>provide training programs, tools, and guidelines designed to ensure government employees are capable of using open data effectively in policy development processes;</li></ul>
<p><strong>This should be part of Principle 1.</strong></p>
<ul><li>encourage non-governmental organisations to open up data created and collected by them in order to move toward a richer open data ecosystem with multiple sources of open data;</li></ul>
<p><strong>I agree with ABS. Why not ‘non-governmental organisations and the private sector’?</strong></p>
<p><strong>Also the document shifts back and forth between ‘civil society organisations’ and ‘non-governmental organisations’. If both mean the same in this document, then it should use only one.</strong></p>
<p> </p>
<h2>General Comments on the Charter</h2>
<p> </p>
<p><strong>1. Why not merge the Principle 4 and 5 so as to describe an overall situation of engagement and collaboration. The ends can be commercial acts or towards democratic practices, but the existing principles do not make much a difference between the two types of acts.</strong></p>
<p><strong>2. Further, can a new principle be added at the end that would address the implementation process of the Action Plan? Specifically, it should clarify how the implementation itself be an open process, with not only the Action Plan but annual reports regarding the status of implementation. This principle may connect to the work being done by the Implementation WG.</strong></p>
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For more details visit <a href='https://cis-india.org/openness/international-open-data-charter-comments-by-cis'>https://cis-india.org/openness/international-open-data-charter-comments-by-cis</a>
</p>
No publishersumandroOpen DataOpen Government DataFeaturedPoliciesOpennessInternational Open Data Charter2015-09-08T11:01:01ZBlog EntryWorkshop on Open Data for Human Development - Sessions Report
https://cis-india.org/openness/workshop-on-open-data-for-human-development-2015-06-report
<b>CIS facilitated a workshop on open data policy and tools for government officials from Sikkim, Meghalaya, and Tripura, and those from Bhutan and Maldives, in June 2015. The workshop was co-facilitated with Akvo, DataMeet, and Mapbox, and was supported by International Centre for Human Development of UNDP India. Here we share the workshop report and other related documents. The report is written by Sumandro, along with Amitangshu Acharya of Akvo.</b>
<p> </p>
<h2>Day 01, June 03, 2015</h2>
<p>The first day of the workshop began with <a href="https://en.wikipedia.org/wiki/Prem_Das_Rai"><strong>Mr. Prem Das Rai</strong></a>, Honourable MP, Loksabha, Sikkim, briefly addressing the participants. He contextualised the workshop against the background of technological changes and emerging opportunities of governance through effective usages of data. <a href="https://en.wikipedia.org/wiki/A._K._Shiva_Kumar"><strong>Dr. A.K. Shiva Kumar</strong></a>, Director of the <a href="http://www.undp.org/content/india/en/home/operations/projects/human-development/the-international-centre-for-human-development.html">International Centre for Human Development (IC4HD)</a>, UNDP India, welcomed the participants and initiated a panel discussion on data, ICTs and governance. The panel had three speakers: <a href="https://twitter.com/SrivatsaKrishna"><strong>Mr. Srivatsa Krishna</strong></a>, IAS and Secretary, <a href="https://www.bangaloreitbt.in/">Department of Information Technology, Biotechnology, and Science and Technology</a>, Government of Karnataka; <a href="http://www.cgg.gov.in/adg_profile.html"><strong>Dr. B. Gangaiah</strong></a>, Additional Director General, <a href="http://www.cgg.gov.in/">Centre for Good Governance</a>, Hyderabad; and <a href="https://twitter.com/sunil_abraham"><strong>Sunil Abraham</strong></a>, Executive Director, <a href="http://cis-india.org/">the Centre for Internet and Society</a>, Bengaluru and Delhi.</p>
<p><strong>Mr. Krishna</strong> spoke about the strategies adopted in setting up IT and ITES clusters in Cyberabad, Andhra Pradesh and in Bengaluru, Karnataka. He noted that tax cuts and accelerated land allocation are key to incentivising the private sector to set up IT and ITES units. Another major concern is that of ensuring supply of good quality IT workers. He also emphasised on the need for governments to build effective public facing electronic services - either in the form of Nemmadi Kendras, where people can physically go to access various government services, or in the form of mobile applications that bring different civic services into one digital interface, like <a href="https://www.bangaloreone.gov.in/public/default.aspx">Bangalore One</a> and <a href="https://www.mobile.karnataka.gov.in/goken/login.aspx">Karnataka Mobile One</a>.</p>
<p><strong>Dr. Gangaiah</strong> gave an extensive overview of the idea and applications of open data in the contexts of governance and development. He noted that government data (in India) often suffers from criticisms related to quality, as well as the lack of availability of the same in public domain. The key problems, he identified, for opening up government data in India are that most often the data is collected by a government agency for a very specific purpose, and the steps required to ensure wider circulation and use of the same is not taken (such as lack of documentation and interoperability of data); and that the government agencies most often consider the collected data as a source of power, and hence as something to be retained and not disclosed in full details. The slides from Dr. Gangaiah’s presentation can be accessed <a href="https://drive.google.com/file/d/0B7xi0bhhq-OxcGs3UndvWDZJMlk/view?usp=sharing">here</a>.</p>
<p><strong>Mr. Abraham</strong>’s presentation highlighted several areas of concern when deploying data-driven techniques and solutions for human development challenges. He described how the current phase of open data discussions by central and state governments in India represent the third phase of ‘openness’ in governance in India. While the first phase focused on usage of Free/Libre Open Source Softwares in building electronic governance applications and information systems, the second phase involved embracing of open software standards and formats across government information systems and IT solutions. It is very important to note that with the third phase of openness focusing on opening up of data and information, both of these earlier foci of free and open source softwares, and open standards and interoperability are returning as complementary components to ensure seamless publication of open government data. However, he argued, when deploying data-driven techniques and solutions for human development challenges, it is imperative to remember three things: 1) collection of data is a time- and effort-consuming task, and hence must be optimised so as to not to take away time and effort from actual developmental interventions, 2) bad quality of development data is a structural problem, often emanating from the data being not useful to the person actually collecting it, and 3) availability of data does not automatically change or open up the process of decision-making.</p>
<p>The second session of the day started with a detailed presentation by <strong>Mr. T. Samdup</strong>, Joint Director, Department of Information Technology, Government of Sikkim, on the context, the making, and the salient features of the <a href="http://www.sikkim.gov.in/stateportal/Link/SODAAP%20Policy%20Document.pdf">Sikkim Open Data Acquisition and Accessibility Policy (SODAAP)</a>, 2014. He explained that the Policy mandates setting up of an online state data portal that will host all data sets generated by various agencies of the Government of Sikkim, and making such data available, subject to concerns of privacy and security, across all state government agencies and the citizens in general. The key needs driving this Policy have been that for availability of accurate and timely data on various aspects of human development in the state, as well as for reducing expenses and confusions due to duplication of data collection efforts. The slides from Mr. Samdup’s presentation can be accessed <a href="https://drive.google.com/file/d/0B7xi0bhhq-OxcktuMm0tTGFMWHc/view?usp=sharing">here</a>.</p>
<p>The presentation by <strong>Mr. Samdup</strong> was followed by one by <a href="https://twitter.com/ajantriks"><strong>Mr. Sumandro Chattapadhyay</strong></a> of the Centre for Internet and Society on an initial set of questions and concerns that should be addressed by the implementation plan of the SODAAP. He took a detailed look at the four objectives mentioned in the Policy document, and discussed what tasks, decisions, and deliberations are needed to achieve each of those. In conclusion, he listed a set of core components of the implementation process that must also be discussed in the implementation plan document, namely: 1) governance and oversight structure for implementation, 2) incentivising government personnel for opening up data across departments, including financial support for the same, 3) metadata, documentation of data collection process, and implementing unique identifiers, and 4) developing processes of sharing of data between the Union and the state government, especially in reference to national Management Information Systems. The slides from Mr. Chattapadhyay’s presentation can be accessed <a href="https://drive.google.com/file/d/0B7xi0bhhq-OxNUVGM1ZqcGhiUUU/view?usp=sharing">here.</a></p>
<p>These presentations were followed by a general discussion on various aspects of the SODAAP and the challenges to be overcome during its implementation. This session provided a general introduction to the SODAAP, especially for workshop participants who are not from Sikkim, and also set up the key questions to be discussed and answered while preparing the first draft of the SODAAP implementation plan.</p>
<p>After the second session ended, the participants were asked to individually write down the key challenges they identify for the implementation process of SODAAP. These responses were compiled by Sumandro and made available as a reference document for the implementation plan. The chart below summarises these responses.</p>
<p><iframe src="http://ajantriks.github.io/cis/charts/2015.08_sodaap-challenges/index.html" frameborder="0" height="400" width="700"></iframe></p>
<p> </p>
<p>In the third session of the day, <a href="https://twitter.com/joycarpediem"><strong>Joy Ghosh</strong></a> and <a href="https://twitter.com/amitangshu"><strong>Amitangshu Acharya</strong></a> of <a href="http://akvo.org/">Akvo</a> talked about the challenges of collecting structured born-digital data from the grassroots level, and how using mobile-based applications, like <a href="http://akvo.org/products/akvoflow/">Akvo FLOW</a>, can address such challenges. Akvo FLOW runs on all Android-based smartphones, and allows ground level development workers to directly feed data into the phone, as well as collect related materials like GPS location and photographs, based upon a form that is centrally designed and downloaded into their phones by the development workers. The data is then kept in the phone till it is sent back to the main server, where data coming from all different surveyors using the same form is shown on a map-based interface for easy navigation of the data across space and time. In this session, Mr. Acharya first introduced the participants to the issues around digital data collection, touching upon issues of ethics, capacity, prioritisation of data collection process along with tools. Mr. Ghosh then took over to describe the functioning of the tool, and then distributed several smartphones, pre-loaded with Akvo FLOW, among the participants for an applied data collection exercise where the participants walked around the NIAS campus and collected data using the FLOW interface. They returned to see their data mapped and analysed on the online dashboard. Their presentation can be accessed <a href="https://drive.google.com/file/d/0B0kFsiLLpy0XdDM2TE5tckE5Zlk/view?usp=sharing">here</a>.</p>
<p> </p>
<h2>Day 02, June 04, 2015</h2>
<p>The second day started with two consecutive presentations by <a href="https://twitter.com/thej"><strong>Mr. Thejesh GN</strong></a> of <a href="http://datameet.org/">DataMeet</a>, and <a href="https://twitter.com/Sramach9"><strong>Mr. Sivaram Ramachandran</strong></a> of <a href="http://mapbox.com/">Mapbox</a> on the tools and techniques for working with statistical data and with geospatial data, respectively. The former presentation took the participants through the stages of working with statistical data: from collecting and finding data, to cleaning and validating, and finally analysing the data. Various free and open source tools for each of these stages were also discussed in brief, such as <a href="https://pdftables.com/">PDF Tables</a><a> and </a><a href="http://tabula.technology/">Tabula</a> for converting PDF tables to spreadsheets, <a href="http://openrefine.org/">Open Refine</a> for cleaning data, and <a href="http://app.raw.densitydesign.org/">RAW</a> and <a href="https://datawrapper.de/">DataWrapper</a> for generating web-based dynamic charts. The latter presentation explored the various ways in which geospatial data can be used to inform and support decision-making, and the tools that can be used to render and present geospatial data in forms that are accessible for decision-makers within government and also for individual users. Mr. Ramachandran presented the various free and open source tools available for working with geospatial data, such as <a href="https://www.mapbox.com/mapbox-studio/">Mapbox Studio</a>, <a href="http://qgis.org/en/site/">Quantum GIS</a>, and <a href="http://leafletjs.com/">Leaflet JS</a>. He also gave a brief introduction to <a href="http://openstreetmap.org/">OpenStreetMap</a>, the wiki-like user-contributed global map data platform. Both the presentations can be accessed <a href="http://thejeshgn.com/presentations/Data_Journalism_Workshop.html">here</a> and <a href="https://drive.google.com/file/d/0B7xi0bhhq-OxQTB3eVpjNmtTUDg/view?usp=sharing">here</a>, respectively. After this session, the participants were divided into two groups. One group engaged further with tools and techniques of working with statistical and geospatial data. The second group took part in a series of exercises to identify and document the current data flows and bottlenecks thereof across several key departments of Government of Sikkim.</p>
<p>The group engaging in applications of various software tools for working with statistical and geospatial data was facilitated by <strong>Mr. Thejesh</strong> and <strong>Mr. Ramachandran</strong>. This group worked with a sample statistical data set, taking it across the stages of finding, cleaning, analysing, and visualising as discussed earlier. The participants used the online version of <a href="http://www.tableau.com/">Tableau</a> to create dynamic charts. Afterwards, they were introduced to various methods of contributing and downloading data from the OpenStreetMap, including directly adding data points through the online editor named <a href="http://wiki.openstreetmap.org/wiki/ID">iD</a>. The participants went out in the NIAS campus to collect geospatial data about various natural and human-made features of the campus, such as trees, pathways, etc.</p>
<p>The second group working on documenting data flows and identifying bottlenecks was facilitated by <strong>Mr. Chattapadhyay</strong>, <strong>Mr. Acharya</strong>, and <strong>Ms. Rajashi Mukherjee</strong> from Akvo. The group was further divided into department-wise teams, one each for the Department of Health, the Department of Economic Statistics, Monitoring, and Evaluation (DESME), the Human Resource Development Department (HRDD), and representatives from Gram Panchayat Units. The exercise began with each of the teams discussing and drawing the flow of data for one of the major data set maintained by the agency concerned. The data flows were drawn by identifying key moments of its processing (such as primary collection, verification, digitisation, analysis, storage, reporting, etc.), the actors involved in that moment, the tools and data formats relevant for each moment, and which agency finally stores and uses the data. Once these processes were described on paper, the next part of the exercise focused on identifying which challenges exist at which part of these data flows. This was followed up by a ranking of all these challenges, in terms of how critically they affect the ability of the agency concerned to use and share the final data. All the teams worked separately, and conversed with the facilitators as needed, to develop the data flow diagrams and identify the key challenges.</p>
<p>The major common challenges noted by these teams were: <strong>1)</strong> delays in collection, verification, and digitisation of data, <strong>2)</strong> inability of state government agencies to access data collected as part of centrally-funded welfare schemes, and <strong>3)</strong> parallel systems of data collection employed by different departments leading to duplication of efforts and data.</p>
<p>Several interesting insights came through in this exercise. For example, data related to education is collected both by the HRDD, and the Sarva Shiksha Abhiyaan (SSA). However, SSA data is not shared with the HRDD. Also, the HRDD publishes all its data, including the name of students, on their <a href="http://sikkimhrdd.org/Home.aspx">website</a>, making it publicly available. One of the data challenges identified by the HRDD was their difficulty in tracking if scholarship money is reaching the suitable students. When a student moves from one school to another, the records do not get updated easily. This leads to different schools continuing to receive funds for the same scholarship. Aligning school records is important to prevent such leakages.</p>
<p>After these two grouped exercises, all the participants gathered back so that the data flows diagrams and identification of key challenges documented by departmental teams could be presented to the entire group. Each team presented their data flow diagram, and discussed challenges and opportunities. This created a context for different departments to discuss what kind of data they often needed from each other, and how there was neither a platform for inter-departmental discussion on such issues, nor systems that facilitate the same. There was an agreement that an open data platform could address this issue to a great extent. The discussion also highlighted that the most significant data collecting government agency in Sikkim is DESME, however, it does not publish any data in machine-readable formats, and does not even have a website.</p>
<p>This data flow and bottleneck exercise made it very clear that there are several data production and collection processes in place in Sikkim, and also systems that are digesting, processing, and reporting data. Hence, implementing the open data policy will need to negotiate with such complexity.</p>
<p>In the final session of the day, <strong>Dr. Shiban Ganju</strong> made a presentation on applications of open data in healthcare. His talk focused on how converting medical information about a patient being stored at various locations to a combined and shareable Electronic Health Record can save the patient as well as the medical practitioners from duplication of medical tests, easier mobility from one medical institute to another, and a clearer macro-level understanding of key public health indicators. Dr. Ganju discussed the open health data initiatives in the United States, in the United Kingdom, and in Sweden, before discussing the challenges faced in implementing interoperable standards for open health data in India. The slides from Dr. Ganju’s presentation can be accessed <a href="https://drive.google.com/file/d/0B7xi0bhhq-OxTTczUTY3MWZFbG8/view?usp=sharing">here</a>.</p>
<p> </p>
<h2>Day 03, June 05, 2015</h2>
<p>The final day started with a set of presentations from <strong>Mr. Garab Dorji</strong>, Deputy Chief IT Officer, Office of the Prime Minister, Thimphu, Bhutan of the Government of Bhutan, <strong>Mr. Birendra Tiwari</strong>, Senior Informatic Officer, Department of Information Technology, Government of Meghalaya, and <strong>Mr. Milan Chhetri</strong> of Melli Dara Paiyong Gram Panchayat Unit, Sikkim, on various technological solutions being explored, implemented, and practiced by the respective governments and administrative units.</p>
<p><strong>Mr. Milan Chhetri</strong>’s presentation was on the operationalisation of Cyber Villages in Sikkim, which had been initiated in 2013 with support from the Honourable Chief Minister of Sikkim, <strong>Pawan Kumar Chamling</strong>. Cyber Villages aim to address digital divide, by empowering local village units with handheld data devices to collect data from every household and connect the same to a real time dashboard. All village related data is expected to be available in one place. At the same time as part of e-governance initiative, SMS based updates on Government programmes and services will be sent to all villagers. Mr. Chhetri ended his presentation with a short promotional video of the concept, which is embedded below.</p>
<iframe src="https://www.youtube-nocookie.com/embed/ZOqAl8kDwKY?rel=0" frameborder="0" height="360" width="640"></iframe>
<p> </p>
<p>The second session of the day started with a presentation from <a href="https://twitter.com/DurgaPrMisra"><strong>Mr. D. P. Misra</strong></a>, National Data Sharing and Accessibility Policy - Programme Management Unit (NDSAP-PMU), National Informatics Centre, Government of India. The presentation focused on the process of implementation of the <a href="http://data.gov.in/sites/default/files/NDSAP.pdf">National Data Sharing and Accessibility Policy</a> approved by the Government of India in 2012. Mr. Misra has played a key role in the NDSAP-PMU that was trusted with development of the national open government data platform of India and in setting up the procedures and standards for publication of government data by various central and state government agencies through that Platform. His talk described the technical solutions designed by the NDSAP-PMU to make data accessible for the end-users in various file formats, to make visualisation of available data easy, and to make it possible for users to comment upon existing data and to request for data that is unavailable at the moment. Further, he emphasised the need for outreach initiatives by the government so as to build awareness and activities around the available open government data. The slides from Mr. Misra’s presentation can be accessed <a href="https://drive.google.com/file/d/0B7xi0bhhq-OxZjZrc0c4cmxpZFk/view?usp=sharing">here</a>.</p>
<p>The presentation by Mr. Misra was followed by a group exercise where various teams, self-selected by the participants, worked on different sections of the SODAAP implementation plan to put together ideas and plans for the first draft of the document. Five groups were formed and each of them worked on a separate section of the implementation plan: <strong>1)</strong> Governance Framework and Budgetary Support, <strong>2)</strong> Data Inventory and Negative List, <strong>3)</strong> Data Acquisition and Open Standards, <strong>4)</strong> Data Publication Process, Licenses, and Timeframes, and <strong>5)</strong> Awareness, Capacity, and Demand of Data. The initial section titled ‘Introduction to the Policy and its Principles’ was put together by Vashistha Iyer on the basis of the SODAAP document. The technical section on the ‘Sikkim Open Data Portal’ was left out of this drafting exercise, as it was decided that the representatives of the Department of Information Technology will prepare this section on the basis of their interactions with the NDSAP-PMU later in June.</p>
<p>The drafting session was followed by presentations by each team working on a separate section, and quick feedbacks from all the participants. These drafts, along with the feedbacks, have been compiled together by Mr. Chattapadhyay, and is shared with the officials from the Government of Sikkim for their further discussion and eventual finalisation of the SODAAP implementation plan document.</p>
<p>The workshop ended with a round of final words and sharing of learning by the participants, and a vote of thanks on the behalf of the organisers.</p>
<p> </p>
<p>
For more details visit <a href='https://cis-india.org/openness/workshop-on-open-data-for-human-development-2015-06-report'>https://cis-india.org/openness/workshop-on-open-data-for-human-development-2015-06-report</a>
</p>
No publishersumandroOpen DataOpen Government DataFeaturedSikkim Open Data Acquisition and Accessibility PolicyOpenness2015-08-28T08:16:09ZBlog EntrySurvey of Estimates of Economic Value of Open Government Data
https://cis-india.org/openness/survey-of-estimates-of-economic-value-of-open-government-data
<b>This is a survey of estimates of economic value of open government data, and public sector information in general, across regions, countries, and sectors offered by several reports published during the last decade. The survey is undertaken by Ömer Faruk Sarı, a student of Business Administration at Koc University in Istanbul, Turkey, and research intern with CIS. </b>
<p> </p>
<h2>Introduction</h2>
<p>This is a survey of economic value estimates of open government data, and public sector information in general, by consultancy groups and government bodies across the world. The first part of the post lists estimates from different regions and countries, while the second part collects estimates for different sectors. Major reports surveyed in this study include the 'MEPSIR: Measuring European Public Sector Information Resources' report (2006), 'The Value of Spatial Information' report by ACIL Tasman (2008), 'Review of Recent Studies on PSI Re-Use and Related Market Developments' report by Graham Vickery (2012), 'Market Assessment of Public Sector Information' report by Deloitte (2013), 'Open Data: Unlocking Innovation and Performance with Liquid Information' by McKinsey (2013), 'Big and Open Data in Europe: A Growth Engine or a Missed Opportunity?' by Warsaw Institute for Economic Studies (2014), and 'Open for Business: How Open Data can Help Achieve the G20 Growth Target' report by Omidyar Network (2014).</p>
<p><strong>Note about Exchange Rate:</strong>The monetary values stated in these reports vary by years and currencies. The original estimates are mentioned in the currency concerned followed by the converted amount in US Dollar (using exchange rate of the same year) provided within brackets. The exchange rates concerned are mentioned at the bottom of the post.</p>
<p> </p>
<h2>Countries and Regions</h2>
<h3>Global</h3>
<p>McKinsey estimates global economic value of open data as USD 3.2 Trillion for seven sectors - Education, Transportation, Consumer Products, Electricity, Oil and Gas, Healthcare, and Consumer Finance. [1]</p>
<h3>European Union</h3>
<p>Pira International Ltd. et al, in 2000, estimated the monetary value of open data for EU countries as EUR 68 Billion (USD 76 Billion). [2]</p>
<p>Zangenberg and Company, estimated this number for EU countries as for minimum EUR 29 Billion (USD 38 Billion) and for an upper limit of EUR 143 Billion (USD 188 Billion). [3]</p>
<p>The Warsaw Institute for Economic Studies (WISE Institute) estimates the economic value of open data in EU, as increase in GDP by 2020, as EUR 206 Billion (USD 253 Billion). [4]</p>
<p>Graham Vickery estimated this number as EUR 200 Billion (USD 264 Billion) in 2012. [5]</p>
<p>In 2006, MEPSIR, in their report for European Commission, mentioned EUR 27 Billion (USD 36 Billion) could be gained by use of open data. [6]</p>
<p>McKinsey, in their report in 2013, estimated the monetary value of open data for EU countries as USD 900 Billion. [1]</p>
<iframe src="http://ajantriks.github.io/cis/charts/2015.08_open-data-value-eu/index.html" frameborder="0" height="300" width="700"></iframe>
<h3>G20</h3>
<p>For G20 countries taken together, Omidyar Network estimates the economic value of open data as USD 2.6 Trillion. [7]</p>
<h3>Australia</h3>
<p>Omidyar Network, in their study on business value of open data, estimated the potential of open data for Australia as AUD 3.4 Billion (USD 2.8 Billion). [7]</p>
<p>In 2008, ACIL Tasman estimated the potential economic value of open data for Australia as AUD 1.4 Billion (USD 938 Million). [8]</p>
<p>John Houghton's estimation for the monetary value of open data is AUD 195 Million (USD 197 Million). [9]</p>
<h3>Denmark</h3>
<p>Zangenberg and Company, in 2011, estimated the economic value of open data for Denmark as DKK 520 Million (USD 92 Million). [3]</p>
<h3>France</h3>
<p>SerdaLAB, in 2009, estimated EUR 1.57 Billion (USD 2.3 Billion) can be gained by open data in France. [10]</p>
<h3>Germany</h3>
<p>In 2011, Dr, Martin Fornefeld et al estimated the economic value of open data for Germany as EUR 1.7 Billion (USD 2.2 Billion), only for geo-information. [11]</p>
<p>The POPSIS study estimated this number as EUR 3.2 Million (USD 4.2 Million), in the same year, 2011. [12]</p>
<h3>Norway</h3>
<p>Graham Vickery's report mentions the potential value of open data as NOK 260 Million (USD 43 Million). [5]</p>
<h3>Spain</h3>
<p>The Proyecto Aporta (Spanish open data portal project) study estimated the economic value of the infomediary sector in Spain as EUR 330-550 Million (USD 452-753 Million), in 2012. [13]</p>
<h3>The Netherlands</h3>
<p>In 2011, the POPSIS study estimated the economic potential that can be gained from open data in Netherlands as EUR 78 Million (USD 102 Million). [12]</p>
<h3>United Kingdom</h3>
<p>Deloitte, in their report, estimated the value of open data as GBP 6.2-7.2 Billion (USD 10-11.8 Billion) for United Kingdom. [14]</p>
<p>Rufus Pollock, in 2011, estimated GBP 4.5-6 Billion (USD 7-9.3 Billion) that can be unlocked by use of open data. [15]</p>
<p>Dot-Econ's estimation for monetary value of open data in United Kingdom is EUR 590 Million (USD 778 Million). [16]</p>
<h3>United States</h3>
<p>McKinsey's estimation, in 2013, for the value that can be unlocked by open data in United States is quite remarkable at USD 1.1 Trillion. [1]</p>
<p>Pira International Ltd. et al, in 2000, estimated the value as EUR 750 Billion (USD 838 Billion). [2]</p>
<p> </p>
<h2>Data Types and Sectors</h2>
<h3>Consumer Finance</h3>
<p>McKinsey estimates USD 210-280 Billion, globally, for the consumer finance sector. [1]</p>
<p><strong>Based on McKinsey's Report:</strong> The estimate for G20 countries is USD 169 Billion; for Australia, the estimate is AUD 4.2 Billion (USD 4.3 Billion).</p>
<h3>Consumer Products</h3>
<p>Across the globe, with the use of open data McKinsey estimates USD 520-1470 Billion can be generated from services of consumer products. [1]</p>
<p><strong>Based on McKinsey's Report:</strong> G20 countries, in total, have a potential value of USD 419 Billion for this sector; the value is estimated at AUD 10 Billion (USD 10.2 Billion) for Australia.</p>
<h3>Education</h3>
<p>McKinsey estimates that USD 890-1180 Billion can be generated alone in education sector, across the globe. [1]</p>
<p><strong>Based on McKinsey's Report:</strong> Open data in the education sector in G20 countries can generate USD 717 Billion; for Australia, value of open data in education sector is estimated to be AUD 14 Billion (USD 14.2 Billion).</p>
<h3>Electricity</h3>
<p>McKinsey estimates USD 340-580 Billion, across the globe. [1]</p>
<p><strong>Based on McKinsey's Report:</strong> For electricity sector, USD 193 Billion is estimated for G20 countries; estimate for Australia for electricity sector depending on open data is AUD 6.7 Billion (USD 6.8 Billion).</p>
<h3>Geospatial Data</h3>
<p>Dr. Nam D. Pham estimates the potential value of Geo-spatial information in US as USD 96 Billion. [17]</p>
<p>In the report by Pira International Limited et al, the economic value of geo-spatial information in EU estimated as EUR 36 Billion (USD 40 Billion). [2]</p>
<p>Fornefeld et al estimates the value of geo-spatial information in Germany as EUR 1.7 Billion (USD 2.2 Billion). [11]</p>
<p>The POPSIS study estimates the economic value of Meteorological data re-use market in Netherlands as EUR 10 Million (USD 13 Million). [12]</p>
<p>Graham Vickery estimates (in 2012) NOK 72 Million (USD 12 Million) can be generated in Norway through geo-spatial information. [5]</p>
<p>The Proyecto Aporta study estimates potential value of geo-spatial information in Spain as EUR 183 Million (USD 240 Million). [13]</p>
<p>ACIL Tasman in their report, estimated that as a direct result of the uptake of spatial technologies New Zealand’s real GDP increased by NZD 1.2 Billion (USD 670 Million) in 2008 through productivity-related gains as a result of the increasing adoption of modern spatial information technologies since 1995. [8]</p>
<p>In the United Kingdom, a 'supply-side' assessment estimated the market size and growth potential for geographic information (GI) products and services. The market size in year 2007 was estimated to be GBP 657 Million (USD 1.32 Billion). [18]</p>
<p>Based on PwC's study in 2010, John Houghton estimates the value of spatial data in Australia as AUD 25 Million (USD 25.3 Million). [9]</p>
<p>Ordnance Survey of UK estimates the economic value of open data published by the same agency as GBP 2.9-6.1 Million (USD 4.5-9.5 Million). [19]</p>
<iframe src="http://ajantriks.github.io/cis/charts/2015.08_open-geo-data-value/index.html" frameborder="0" height="400" width="700"></iframe>
<h3>Healthcare</h3>
<p>Globally, USD 300-450 Billion is the estimate of McKinsey, depending on open data use in healthcare sector.[1]</p>
<p><strong>Based on McKinsey's Report:</strong> Open data in the healthcare sector can generate USD 242 Billion for G20 countries; estimate for Australia is AUD 5.9 Billion (USD 6 Billion).</p>
<h3>Oil and Gas</h3>
<p>McKinsey estimates USD 240-510 Billion that can be generated through open data for the oil and gas sector, across the globe. [1]</p>
<p><strong>Based on McKinsey's Report:</strong> Oil and gas sector, with the use of open data, can generate USD 169 Billion for G20 countries; the value for Australia is estimated to generate AUD 4.8 Billion (USD 4.9 Billion).</p>
<h3>Transportation</h3>
<p>McKinsey estimates the value of transportation sector with the use of open data as USD 720-920 Billion for the transportation sector, globally. [1]</p>
<p><strong>Based on McKinsey's Report:</strong> G20 countries altogether can generate USD 580 Billion in transportation sector; estimate of the value of open data in the transportation sector in Australia is AUD 18 Billion (USD 18.2 Billion).</p>
<p> </p>
<h2>Reference</h2>
<p>[1] Manyika, James, et al. 2013. Open Data: Unlocking Innovation and Performance with Liquid Information. McKinsey Global Institute. October. Accessed from <a href="http://www.mckinsey.com/insights/business_technology/open_data_unlocking_innovation_and_performance_with_liquid_information">http://www.mckinsey.com/insights/business_technology/open_data_unlocking_innovation_and_performance_with_liquid_information</a>.</p>
<p>[2] Pira International Ltd. et al. 2000. Commercial exploitation of Europe’s Public Sector Information - Executive Summary. European Commission, Brussels. Aceeseed from <a href="ftp://ftp.cordis.europa.eu/pub/econtent/docs/2000_1558_en.pdf">ftp://ftp.cordis.europa.eu/pub/econtent/docs/2000_1558_en.pdf</a>.</p>
<p>[3] Zangenberg and Company. 2011, Kvantificering af værdien af åbne offentlige data (Quantifying the Value of Open Government Data). Report Prepared for the Danish National Information Technology and Telecom Agency. Accessed from <a href="https://digitaliser.dk/resource/1021067/artefact/Kvantificering+af+den+erhvervsm%c3%a6ssige+v%c3%a6rdi+af+%c3%a5bne+offentlige+data+-+Zangenberg2011.pdf">https://digitaliser.dk/resource/1021067/artefact/Kvantificering+af+den+erhvervsm%c3%a6ssige+v%c3%a6rdi+af+%c3%a5bne+offentlige+data+-+Zangenberg2011.pdf</a>.</p>
<p>[4] Buchholtz, Sonia, et al. 2014. Big and Open Data in Europe: A Growth Engine or a Missed Opportunity? demosEUROPA – Centre for European Strategy and Warsaw Institute for Economic Studies. Accessed from <a href="http://www.bigopendata.eu/wp-content/uploads/2014/01/bod_europe_2020_full_report_singlepage.pdf">http://www.bigopendata.eu/wp-content/uploads/2014/01/bod_europe_2020_full_report_singlepage.pdf</a>.</p>
<p>[5] Vickery, Graham. 2012. Review of Recent Studies on PSI Re-Use and Related Market Developments. European Commission, Brussels. Accessed form <a href="http://ec.europa.eu/information_society/newsroom/cf//document.cfm?doc_id=1093">http://ec.europa.eu/information_society/newsroom/cf//document.cfm?doc_id=1093</a>.</p>
<p>[6] Dekkers, Makx, et al. 2006. MEPSIR: Measuring European Public Sector Information Resources - Final Report of Study on Exploitation of Public Sector Information – Benchmarking of EU Framework Conditions. European Commission, Brussels. Accessed from <a href="http://ec.europa.eu/information_society/newsroom/cf/document.cfm?doc_id=1198">http://ec.europa.eu/information_society/newsroom/cf/document.cfm?doc_id=1198</a>.</p>
<p>[7] Lateral Economics. 2014. Open for Business: How Open Data can Help Achieve the G20 Growth Target. Omidyar Network. June. Accessed from <a href="https://www.omidyar.com/sites/default/files/file_archive/insights/ON%20Report_061114_FNL.pdf">https://www.omidyar.com/sites/default/files/file_archive/insights/ON%20Report_061114_FNL.pdf</a>.</p>
<p>[8] ACIL Tasman. 2008. The Value of Spatial Information: The Impact of Modern Spatial Information
Technologies on the Australian Economy. March. Accessed from <a href="http://www.crcsi.com.au/assets/Resources/7d60411d-0ab9-45be-8d48-ef8dab5abd4a.pdf">http://www.crcsi.com.au/assets/Resources/7d60411d-0ab9-45be-8d48-ef8dab5abd4a.pdf</a>.</p>
<p>[9] Houghton, John. 2011. Costs and Benefits of Data Provision. Report to the Australian National Data Service. September. Accessed from <a href="http://www.ands.org.au/resource/houghton-cost-benefit-study.pdf">http://www.ands.org.au/resource/houghton-cost-benefit-study.pdf</a>.</p>
<p>[10] Guerre, Louise, et al. 2009. Le marché de l’information électronique professionnelle en France. SerdaLAB. Presentation at CCIP on January 27. Accessed from <a href="http://www.fnps.fr/Public/Article/File/DOCUMENTS/Presentation_ET_IEP09_270109.pdf">http://www.fnps.fr/Public/Article/File/DOCUMENTS/Presentation_ET_IEP09_270109.pdf</a>.</p>
<p>[11] Fornefeld, Martin, et al. 2011. Die europäische Gesetzgebung als Motor für das deutsche GeoBusiness (European Legislation as a Driver for German GeoBusiness). Accessed from <a href="http://www.micus.de/pdf/MICUS_GeoBusiness-BMWi.pdf">http://www.micus.de/pdf/MICUS_GeoBusiness-BMWi.pdf</a>.</p>
<p>[12] Citadel Consulting et al. 2011. POPSIS: Pricing Of Public Sector Information Study - Models of Supply and Charging for Public Sector Information (ABC) - Final Report. European Commission. October. Accessed from <a href="http://ec.europa.eu/newsroom/dae/document.cfm?doc_id=1158">http://ec.europa.eu/newsroom/dae/document.cfm?doc_id=1158</a>.</p>
<p>[13] Ministry of Finance and Public Administration et al. 2012. Characterization Study of the Infomediary Sector. Proyecto Aporta. Accessed from <a href="http://datos.gob.es/sites/default/files/files/Estudio_infomediario/121001%20RED%20007%20Final%20Report_2012%20Edition_vF_en.pdf">http://datos.gob.es/sites/default/files/files/Estudio_infomediario/121001%20RED%20007%20Final%20Report_2012%20Edition_vF_en.pdf</a>.</p>
<p>[14] Deloitte. 2013. Market Assessment of Public Sector Information. Report to the Department for Business, Innovation and Skills, Government of UK. Accessed from <a href="https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/198905/bis-13-743-market-assessment-of-public-sector-information.pdf">https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/198905/bis-13-743-market-assessment-of-public-sector-information.pdf</a>.</p>
<p>[15] Pollock, Rufus. 2010. Welfare Gains from Opening up Public Sector Information in the UK. University of Cambridge. Accessed from <a href="http://rufuspollock.org/economics/papers/psi_openness_gains.pdf">http://rufuspollock.org/economics/papers/psi_openness_gains.pdf</a>.</p>
<p>[16] DotEcon. 2006. The Commercial Use of Public Information (CUPI). Report OFT861. Office of Fair Trading, Government of UK. Accessed from <a href="http://www.opsi.gov.uk/advice/poi/oft-cupi.pdf">http://www.opsi.gov.uk/advice/poi/oft-cupi.pdf</a>.</p>
<p>[17] Pham, Nam D. 2011. The Economic Benefits of Commercial GPS Use in the U.S. and the Costs of Potential Disruption. June. Accessed from <a href="http://www.gpsalliance.org/docs/GPS_Report_June_21_2011.pdf">http://www.gpsalliance.org/docs/GPS_Report_June_21_2011.pdf</a>.</p>
<p>[18] Coote, Andrew, and Les Rackham. 2008. An Assessment of the Size and Prospects for Growth of the UK Market for Geographic Information Products and Services. ConsultingWhere. Accessed from <a href="http://www.consultingwhere.com/wp-content/uploads/resources/UK_Market_Assessment_v11_Final.pdf">http://www.consultingwhere.com/wp-content/uploads/resources/UK_Market_Assessment_v11_Final.pdf</a>.</p>
<p>[19] Carpenter, John, and Phil Watts. 2013. Assessing the Value of OS OpenData™ to the Economy of Great Britain - Synopsis. Ordnance Survey. June. Accessed from <a href="https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/207692/bis-13-950-assessing-value-of-opendata-to-economy-of-great-britain.pdf">https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/207692/bis-13-950-assessing-value-of-opendata-to-economy-of-great-britain.pdf</a>.</p>
<p> </p>
<h2>Exchange Rates</h2>
<p>Note: Exchange rates are taken for December of the year concerned.</p>
<table>
<tbody>
<tr>
<th>Euro per 1 US Dollar</th>
</tr>
<tr>
<td>2000</td>
<td>0.8947</td>
</tr>
<tr>
<td>2006</td>
<td>0.7580</td>
</tr>
<tr>
<td>2009</td>
<td>0.6868</td>
</tr>
<tr>
<td>2010</td>
<td>0.7562</td>
</tr>
<tr>
<td>2011</td>
<td>0.7599</td>
</tr>
<tr>
<td>2013</td>
<td>0.7296</td>
</tr>
<tr>
<td>2014</td>
<td>0.8123</td>
</tr>
<tr>
<th>British Pound per 1 US Dollar</th>
</tr>
<tr>
<td>2006</td>
<td>0.5095</td>
</tr>
<tr>
<td>2011</td>
<td>0.6415</td>
</tr>
<tr>
<td>2013</td>
<td>0.6106</td>
</tr>
<tr>
<td>2014</td>
<td>0.6397</td>
</tr>
<tr>
<th>Australian Dollar per 1 US Dollar</th>
</tr>
<tr>
<td>2008</td>
<td>1.4919</td>
</tr>
<tr>
<td>2011</td>
<td>0.9874</td>
</tr>
<tr>
<td>2014</td>
<td>1.2144</td>
</tr>
<tr>
<th>New Zealand Dollar per 1 US Dollar</th>
</tr>
<tr>
<td>2008</td>
<td>1.7923</td>
</tr>
<tr>
<th>Norwegian Krone per 1 US Dollar</th>
</tr>
<tr>
<td>2010</td>
<td>5.9774</td>
</tr>
<tr>
<th>Danish Krone per 1 US Dollar</th>
</tr>
<tr>
<td>2011</td>
<td>5.6495</td>
</tr>
</tbody>
</table>
<p> </p>
<p>
For more details visit <a href='https://cis-india.org/openness/survey-of-estimates-of-economic-value-of-open-government-data'>https://cis-india.org/openness/survey-of-estimates-of-economic-value-of-open-government-data</a>
</p>
No publisherÖmer Faruk SarıOpen Government DataDigital EconomyOpen DataEconomicsOpenness2015-08-22T08:42:30ZBlog EntryInternational Open Data Charter, Consultation Meeting, Delhi, July 09, 5:30 pm
https://cis-india.org/openness/international-open-data-charter-consultation-delhi-09072015
<b></b>
<p> </p>
<p>This is to invite you to a consultation meeting on the first public draft of the International Open Data Charter, at the CIS office in Delhi, on Thursday, July 09, 2015, at 5:30 pm.</p>
<p>The Charter is being developed by the Open Data Working Group of the Open Government Partnership in consultation with a number of international organisations. Meant for approval and implementation by national governments, the Charter has five key principles:</p>
<ul>
<li>Open by Default;</li>
<li>Quality and Quantity;</li>
<li>Useable by All;</li>
<li>Engagement and Empowerment of Citizens; and</li>
<li>Collaboration for Development and Innovation.</li></ul>
<p>The first public draft of the International Open Data Charter was published in end of May 2015 at the International Open Data Conference in
Ottawa, and can be accessed here: <a href="http://opendatacharter.net/charter/" target="_blank">http://opendatacharter.net/charter/</a>.</p>
<p>Organisations and individuals are invited to submit comments directly on the Charter page, before July 31.</p>
<p>CIS, acting as a general steward of the Charter and a consultation lead, is organising this meeting to discuss the context, the drafting process, and the objectives of this document, and to encourage the participants to comment on the existing text of the Charter.</p>
<p>We keenly look forward to your participation in the consultation meeting on Thursday.</p>
<p>The CIS office address is G 15, Top floor, behind Hauz Khas G Block Market, Hauz Khas, New Delhi 110016.</p>
<p>If you are coming down Aurobindo Marg from AIIMS and towards IIT, then take the left turn into Chaudhary Dalip Singh Marg and come towards the Hauz Khas Police Station, stop when you see a Southy outlet on your right, and enter through the gate on your left (opposite Southy). The CIS office is on the top floor of the first house on your left. <a href="https://goo.gl/maps/kcJoq" target="_blank">Location on Google Map</a>.</p>
<p>Please share this invitation with all relevant individuals, organisations, and networks.</p>
<p> </p>
<p>
For more details visit <a href='https://cis-india.org/openness/international-open-data-charter-consultation-delhi-09072015'>https://cis-india.org/openness/international-open-data-charter-consultation-delhi-09072015</a>
</p>
No publishersumandroOpen DataOpen Government DataInternational Open Data CharterOpenness2015-07-07T12:12:50ZEvent