Centre for Internet and Society

Where's My Data? Submission for Knight News Challenge 2015

sumandro — 2015-10-05T15:00:16Z

We are very excited to be contribute to a join submission with DataMeet and Oorvani for the Knight News Challenge 2015. We are proposing "an application for users to search for locally-relevant data, discuss missing data, demand data, explore and respond to data demands by others, and start data crowd-sourcing exercises." Please go to the submission page and support our project. The text of the proposal is available below. It was prepared by Nisha Thompson of DataMeet, Meera K of Oorvani, and I. The 'Where's My Data' banner is created by Nisha using icons from the Noun Project.

Please support our project by visiting and 'applauding' it on the Knight News Challenge website: https://www.newschallenge.org/challenge/data/entries/where-s-my-data. You will have to log in to the website though, apologies for that.

Where's My Data? Search, Demand, and Collect Data

In one sentence, describe your idea as simply as possible.

An application for users to search for locally-relevant data, discuss missing data, demand data, explore and respond to data demands by others, and start data crowd-sourcing exercises.

Full Description

The proposed application aims to solve two key problems in accessing reliable data faced by citizens, journalists, and researchers. The first problem is knowing where a required data set can be found, and the second problem is collecting the required data set if it does not exist in the first place.

Many individual initiatives have been developed to collect specific data. For example, Powercuts (http://powercuts.in/) was a Ushahidi installation to crowd-source data using Twitter, Kiirti (http://www.kiirti.org/) was used to map complaints about auto drivers, IChangeMyCity (http://www.ichangemycity.com/) is a platform that collects general complaints from around Bangalore. However, these apps were either short lived because they could not sustain their one premise or they do not give insight into what people want to know and what data is important to them. Also, they often did not open up this data to be used by others, beyond visualisations offered on the sites.

Citizens have many questions regarding their urban surroundings - how much water is coming to the neighbourhood daily, where are the waste pick up trucks, what is the status of a road repairing process, etc, the answers require data that either is difficult to get or doesn't answer their query in the way they want. Journalists and researchers are also interested in collecting and analysing these same data sets. A one off platform for one issue won't properly represent the demand for information in modern day (data starved) India.

For example, a local residents’ group wanted to impress on their elected rep the seriousness of the incidence of a disease, as the local government was not taking concrete steps to manage the emerging epidemic. In the absence of official data on suspected cases of illness, this application could help them to reach out through e-mails and social media networks to do a quick survey on how many residents or their family members have got affected.

The application will not only make it easier to undertake such crowd-sourcing efforts, but also to share the data back and make it open for usage by others, including journalists and researchers.

We are already building an Urban Open Data Platform for Bengaluru, India. The application will allow searching this portal and any other such portal, especially if any is developed by the municipality. It will also pipe the crowd-sourced data to this Urban Open Data Platform.

This tool will reduce duplication of data gathering, gives data a longer shelf life and acts as a source of public data that feeds into a city-wide urban Open Data Portal under development by a consortium that we are part of.

How will the Application Work?

The application will allow the user to search for data across the data catalogues connected to the application.
If the data is not found, the user can post details about the required data, which other users in her/his networks can see and comment on. They can either point the person towards an existing data set, or support the need to collect the data being demanded.
When the user finds out that the data set s/he needs does not exist, the application will allow her/him to start a crowd-sourcing exercise, using various channels such as e-mails, social media posts, web-based questionnaires, etc.
For each of these channels, a separate plug-in will be developed so as to open up the software development process. For this project, we will focus on developing plug-ins for two channels: 1) questionnaires integrated with the Citizen Matters website, and 2) use tweets to collect replies using a unique hashtag.
User can share the crowd-sourcing request within her/his own social networks, or use one of the groups (say, the Citizen Matters group focusing on local journalism, or the DataMeet group focusing on open data enthusiasts in the city) to share their calls for data collection.

Briefly Describe the Need that You're Trying to Address

A common cry in Indian cities is the lack of datasets required to understand issues, either at local or at national scales. This tool will be the place to voice demands, ask others about potential sources, or an easy way to create data sourcing activities.This will enable journalists, advocacy organisations, and researchers to search for data and help others to find the data they are looking for. It also records demands for non-existing data and helps take initiatives to collect such data.

What Progress have You Made so Far?

The team is already working on an Urban Open Data Platform, that will host public data, and a data catalog. We have already executed a few crowd-sourcing projects, and helped develop tools for journalists and researchers interested in civic issues.A data source search tool has been in development in the form of Open Data JSON <https://github.com/datameet/opendata.json>. A Bangalore focused data catalog has been in use for awhile as well and provides a base of data to use for people’s search <http://openbangalore.org>.

What would be a Successful Outcome for Your Project?

Success for this project means having a better understanding of what information is needed most by people and what data is required. We will gain detailed evidence regarding what kind of data people want. This entails a collection of questions, who is asking and from where, and what data gaps exist. The number of crowdsourcing projects initiated shows the intensity of the need, and how comfortable citizens are asking for data and proactively starting a data collection project.

Please List your Team Members and their Relevant Experience/Skills

Meera K, Oorvani Foundation, a media group who will provide editorial support to curate data, dissemination of data or queries, and audience reach. Nisha Thompson and Thejesh GN, from DataMeet, open data community, who will provide the technology and community aspects of the tool. Sumandro Chattapadhyay of the Centre for Internet and Society, will help planning the project and linking the effort with other Indian and global initiatives in open data and development.

For more details visit https://cis-india.org/raw/wheres-my-data-submission-for-knight-news-challenge-2015

The Government’s Increased Focus on Regulating Non-Personal Data: A Look at the Draft National Data Governance Framework Policy

Digvijay Chaudhary and Anamika Kundu — 2022-06-30T13:24:35Z

Digvijay Chaudhary and Anamika Kundu wrote an article on the National Data Governance Framework Policy. It was edited by Shweta Mohandas.

Introduction

Non Personal Data (‘NPD’) can be understood as any information not relating to an identified or identifiable natural person. The origin of such data can be both human and non-human. Human NPD would be such data which has been anonymised in such a way that the person to whom the data relates cannot be re-identified. Non-human NPD would mean any such data that did not relate to a human being in the first place, for example, weather data. There has been a gradual demonstrated interest in NPD by the government in recent times. This new focus on regulating non personal data can be owed to the economic incentive it provides. In its report, the Sri Krishna committee, released in 2018 agreed that NPD holds considerable strategic or economic interest for the nation, however, it left the questions surrounding NPD to a future committee.

History of NPD Regulation

In 2020, the Ministry of Electronics and Information Technology (‘MEITY’) constituted an expert committee (‘NPD Committee’) to study various issues relating to NPD and to make suggestions on the regulation of non-personal data. The NPD Committee differentiated NPD into human and non-human NPD, based on the data’s origin. Human NPD would include all information that has been stripped of any personally identifiable information and non-human NPD meant any information that did not contain any personally identifiable information in the first place (eg. weather data). The final report of the NPD Committee is awaited but the Committee came out with a revised draft of its recommendations in December 2020. In its December 2020 report, the NPD Committee proposed the creation of a National Data Protection Authority (‘NPDA’) as it felt this is a new and emerging area of regulation. Thereafter, the Joint Parliamentary Committee on the Personal Data Protection Bill, 2019 (‘JPC’) came out with its version of the Data Protection Bill where it amended the short title of the PDP Bill 2019 to Data Protection Bill, 2021 widening the ambit of the Bill to include all types of data. The JPC report focuses only on human NPD, noting that non-personal data is essentially derived from one of the three sets of data - personal data, sensitive personal data, critical personal data - which is either anonymized or is in some way converted into non-re-identifiable data.

On February 21, 2022, the Ministry of Electronics and Information Technology (‘MEITY’) came out with the Draft India Data Accessibility and Use Policy, 2022 (‘Draft Policy’). The Draft Policy was strongly criticised mainly due to its aims to monetise data through its sale and licensing to body corporates. The Draft Policy had stated that anonymised and non-personal data collected by the State that has “undergone value addition” could be sold for an “appropriate price”. During the Draft Policy’s consultation process, it had been withdrawn several times and then finally removed from the website. The National Data Governance Framework Policy (‘NDGF Policy’) is a successor to this Draft Policy. There is a change in the language put forth in the NDGF Policy from the Draft Policy, where the latter mainly focused on monetary growth. The new NDGF Policy aims to regulate anonymised non-personal data (‘NPD’) kept with governmental authorities and make it accessible for research and improving governance. It wishes to create an ‘India Datasets programme’ which will consist of the aforementioned datasets. While MEITY has opened the draft for public comments, is a need to spell out the procedure in some ways for stakeholders to draft recommendations for the NDGF policies in an informed manner. Through this piece, we discuss the NDGF Policy in terms of issues related to the absence of a comprehensive Data Protection Framework in India and the jurisdictional overlap of authorities under the NDGF Policy and DPB.

What the National Data Governance Framework Policy Says

Presently in India, NPD is stored in a variety of governmental departments and bodies. It is difficult to access and use this stored data for governmental functions without modernising collection and management of governmental data. Through the NDGF Policy, the government aims to build an Indian data storehouse of anonymised non-personal datasets and make it accessible for both improving governance and encouraging research. It imagines the establishment of an Indian Data Office (‘IDO’) set up by MEITY , which shall be responsible for consolidating data access and sharing of non-personal data across the government. In addition, it also mandates a Data Management Unit for every Ministry/department that would work closely with the IDO. IDO will also be responsible for issuing protocols for sharing NPD. The policy further imagines an Indian Data Council (‘IDC’) whose function would be to define frameworks for important datasets, finalise data standards, and Metadata standards and also review the implementation of the policy. The NDGF Policy has provided a broad structure concerning the setting up of anonymisation standards, data retention policies, data quality, and data sharing toolkit. The NDGF Policy states that these standards shall be developed and notified by the IDO or MEITY or the Ministry in question and need to be adhered to by all entities.

The Data Protection Framework in India

The report adopted by the JPC, felt that it is simpler to enact a single law and a single regulator to oversee all the data that originates from any data principal and is in the custody of any data fiduciary. According to the JPC, the draft Bill deals with various kinds of data at various levels of security. The JPC also recommended that since the Data Protection Bill (‘DPB’) will handle both personal and non-personal data, any further policy / legal framework on non-personal data may be made a part of the same enactment instead of any separate legislation. The draft DPB states that what is to be done with the NDP shall be decided by the government from time to time according to its policy. As such, neither the DPB, 2021 nor the NDGF Policy go into details of regulating NPD but only provide a broad structure of facilitating free-flow of NPD, without taking into account the specific concerns that have been raised since the NPD committee came out with its draft report on regulating NPD dated December 2020.

Jurisdictional overlaps among authorities and other concerns

Under the NDGF policy, all guidelines and rules shall be published by a body known as the Indian Data Management Office (‘IDMO’). The IDMO is set to function under the MEITY and work with the Central government, state governments and other stakeholders to set standards. Currently, there is no sign of when the DPB will be passed as law. According to the JPC, the reason for including NPD within the DPB was because of the impossibility to differentiate between PD and NPD. There are also certain overlaps between the DPB and the NDGF which are not discussed by the NDGF. NDGF does not discuss the overlap between the IDMO and Data Protection Authority (‘DPA’) established under the DPB 2021.

Under the DPB, the DPA is tasked with specifying codes of practice under clause 49. On the other hand, the NDGF has imagined the setting up of IDO, IDMO, and the IDC, which shall be responsible for issuing codes of practice such as data retention, and data anonymisation, and data quality standards. As such, there appears to be some overlap in the functions of the to-be-constituted DPA and the NDGF Policy.

Furthermore, while the NDGF Policy aims to promote openness with respect to government data, there is a conflict with open government data (‘OGD’) principles when there is a price attached to such data. OGD is data which is collected and processed by the government for free use, reuse and distribution. Any database created by the government must be publicly accessible to ensure compliance with the OGD principles.

Conclusion

Streamlining datasets across different authorities is a huge challenge for the government and hence the NGDF policy in its current draft requires a lot of clarification. The government can take inspiration from the European Union which in 2018, came out with a principles-based approach coupled with self-regulation on the framework of the free flow of non-personal data. The guidance on the free-flow of non-personal data defines non-personal data based on the origin of data - data which originally did not relate to any personal data (non-human NPD) and data which originated from personal data but was subsequently anonymised (human NPD). The regulation further realises the reality of mixed data sets and regulates only the non-personal part of such datasets and where the datasets are inextricably linked, the GDPR would apply to such datasets. Moreover, any policy that seeks to govern the free flow of NPD ought to make it clear that in case of re-identification of anonymised data, such re-identified data would be considered personal data. The DPB, 2021 and the NGDF, both fail to take into account this difference.

For more details visit https://cis-india.org/internet-governance/blog/national-data-governance-framework-policy

OpenData Week in Madrid - OD4D Summit, Open Data Charter Meetings, and IODC16

praskrishna — 2016-10-16T03:11:54Z

Sumandro Chattopadhyay took part in three open data events in Madrid in the first week of October 2016.

OD4D Summit

Sumandro Chattopadhyay has been a member of the Open Data Research Network (funded by IDRC), which is now part of the Open Data for Development (OD4D) Network. The Network completed 2 years and held its first summit on October 3, 2016. The event was organized by IDRC. Participants discussed the way forward for the Network. Among other things the need for regional cooperation in open data policies and practices in the South, South East, and East Asia was noted.

Open Data Charter Meeting

Sumandro represented CIS in the Open Data Charter Lead Stewards' meeting held on October 5, 2016. The meeting was focused on finalising the business plan of the Charter for 2017-2020, including setting up a secretariat for coordinating and leading the work. The document was thoroughly discussed and will be revised further by the Lead Stewards during the next month, before sharing the draft version with the General Stewards in mid-November.

A meeting was held with the General Stewards and other participants on the evening of the same day. For more info, click here.

IODC 16

The 4th International Open Data Conference (IODC 16) organized by red.es, IDRC, the World Bank and Open Data in Madrid on October 6 and 7, 2016 brought out a lot of real concerns, sometimes even slightly bitter and worried, about the actual state of open data across the world and the relevance/implications of open data for various stakeholders. More info on IODC here.

Sumandro spoke at the Regional Talk session focusing on Asia. He spoke on Opening Data for innovation: from supply-driven to demand-driven Open Data strategies and moderated the session on demand-driven open data strategies.

Collected tweets from IODC can be accessed here.

For more details visit https://cis-india.org/openness/news/opendata-week-in-madrid-od4d-summit-open-data-charter-meetings-and-iodc16

Comments on the Statistical Disclosure Control Report

Srinivs Kodali and Amber Sinha — 2019-03-13T00:28:44Z

This submission presents comments by the Centre for Internet and Society, India (“CIS”) on the Statistical Disclosure Control Report published on March 30th by Ministry of Statistics and Programme Implementation.

1. PRELIMINARY

CIS is thankful for the opportunity to put forth its views.
This submission is divided into three main parts. The first part, ‘Preliminary’, introduces the document; the second part, ‘About CIS’, is an overview of the organization; and, the third part contains the ‘Comments’.

2. ABOUT CIS

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, freedom of speech and expression, intermediary liability, digital privacy, and cybersecurity.

CIS values the fundamental principles of justice, equality, freedom and economic development. This submission is consistent with CIS' commitment to these values, the safeguarding of general public interest and the protection of India's national interest at the international level. Accordingly, the comments in this submission aim to further these principles.

3. Comments

3.1 General Comments

As a non-profit organisation we recognize the importance of the efforts by the Ministry of Statistics and Programme Implementation (MoSPI) to make the data you collect available to the public in open formats with relevant information about reliability of statistical estimates.

We at CIS have recently released a report titled “Information Security Practices of Aadhaar (or lack thereof): A documentation of public availability of Aadhaar Numbers with sensitive personal financial information”. We encountered several central and state government departments collecting socioeconomic data from citizens, linking it with Aadhaar and even publishing them in exportable data formats like EXCEL and MS ACCESS Databases. While we understand this issue primarily concerns to Unique Identification Authority of India (UIDAI), the lack of standards around information/statistical disclosure are a general threat to transparency in a democracy and privacy of individuals. Going through the report we understand the committee is unable to prescribe a standard for other ministries and departments until they try and pilot these standards within Ministry of Statistics and Programme Implementation. This delay in prescribing the standards can be really dangerous in the current circumstances of massive data collection by government departments and linking all the databases with a unique identifier, Aadhaar Number. At the same time we understand the importance of data dissemination to be carried out and we recommend the following for improving the standards around data disclosure control.

3.2 Integrity of Information and Data

We agree with the committee that the error rates need to be kept in mind while designing practices to convert raw data. But we request the process of changes being made be actively measured and documented. In case of errors being computed, guidelines can be made to decrease the possibilities of misinterpretation of errors causing loss of integrity of information. Statistics are important for decision making in governance, errors in computations can be biased towards millions of people. Statistical biases are important to be looked into while converting data from its raw format to make sure there are no damage caused by information.

3.3 Data Security

One of the important issues around storage and publication of Aadhaar information is the lack of masking standards. With the availability of data from multiple departments, it is possible to reconstruct identification details by linking data from multiple databases. It is recommended to bring masking standards while personally identifiable micro data is being published. There is an urgent need for departments to also look at auditing access to information and tracking sharing of information. It is recommended the department digitally signs all the information and documents being published or shared by them to keep track of who had accessed the information and verifying the authenticity of information.

We request the department to define what exactly is “usage for statistical purposes only” and recommend standards to control and restrict usage of information for this purpose. It is important they design frameworks or mechanisms to allow others to report violations around this. This process should be transparent and documented heavily.

3.4 Anonymization of microdata

We recommend the data being collected be anonymized at source to evade the possibility of the accidental disclosure of personally identifiable information. While the current anonymization efforts have been helpful, with steady increase in data mining and classification algorithms and practices it is recommended to evolve the standards around this area.

3.5 Data Dissemination

Data dissemination is an important aspect for district statistics officers, we recommend they actively communicate their work through monthly newsletters, quarterly workshops to help improve the conversations around statistics and at the same time engage with the users who would benefit from the data.

We also recommend that data when being published includes metadata of collection, modification, storage and other important information. Also the information needs to be published in open formats which does not require proprietary software to be used to open them. At the same time data should be published in multiple formats like CSV, XLS, PDF,

The committee also recognizes the need for having data users part of discussions around important decisions and be part of committees. We would like the department to recognize our efforts and consider us for future committee representations.

Thank you for this opportunity and we look forward to work with you in future.

For more details visit https://cis-india.org/internet-governance/comments-on-the-statistical-disclosure-control-report

Meeting on Proactive Disclosure and Personal Data (Delhi, May 13, 5:30 pm)

sumandro — 2017-05-13T04:32:41Z

CIS is organising an informal discussion on topics related to proactive disclosure and personal data thrown up by the recently published report by Amber Sinha and Srinivas Kodali titled "Information Security Practices of Aadhaar (or lack thereof)". Please join us at 5:30 pm today, May 13, at the CIS office.

Read the report: PDF

Location

For more details visit https://cis-india.org/internet-governance/events/meeting-on-proactive-disclosure-and-personal-data-delhi-may-13

An open data ecosystem can boost India's GDP by $22 B and double farmer income

Admin — 2018-05-23T14:37:55Z

MeiTY says increased data transparency will drive growth and improve governance across key industry sectors in the time to come.

This was published in Your Story on May 22, 2018.

YES Bank in association with the Ministry of Electronics and Information Technology (MeitY) has released a study that says an ‘open data ecosystem’ can grow India’s GDP by $22 billion by 2020. It could impact critical sectors like agriculture and double farmer income by reducing wastage and system inefficiencies.

The report titled Open Government, Open Data – Re-imagining India observes that farmers’ income could be twice of what it is in less than five years from now. Universal Health coverage could be strengthened, and micro-loans could be disbursed to millions of MSMEs more effectively through a well-functioning open data ecosystem.

Empirical evidence shows that open data has aided agriculture world over. Combined with agricultural knowledge, remote sensing, and mapping, it helps create early warning systems for farmers. That enables them in “protecting crops from pests and extreme weather, increasing yields, monitoring water supplies, and anticipating changes brought on by climate change,” according to the World Bank.

While India was among the first countries in the world to set up an Open Government Data (OGD) platform that offered open and free access to data and information released by over 100 government departments, there have been loopholes in the project that has led to data being restricted in some cases. At present, OGD houses info-sets from 180,543 ministry resources and is presided over by a hundred-plus data officers.

YES Bank has recommended steps to eliminate the existing gaps and boost usage of OGD to improve governance across sectors. It has also said that emerging technologies like Blockchain, Machine Learning (ML) and the Internet of Things (IoT) would drive further efficiencies in the open data ecosystem, and lead to more tech-focused innovation.

One such innovation has been brought about by Silicon Valley agri startup, Harvesting, that recently launched its India operation. Harvesting uses remote sensing and geo-spatial imagery along with existing farmer data to monitor farmlands, assess them in real-time, and send out reports and analysis to all stakeholders, including farmers, agri lenders, rural banks, and so on.

Harvesting Founder-CEO Ruchit Garg told YourStory,

“There are over 500 million small farm-holders in emerging markets that feed 80 percent of the world. But there is a data asymmetry in the agricultural value chain. Most problems arise because of a massive data deficit. We started to look at how this could be solved by leveraging data and technology.”

Besides industries, the open data is available for citizen access too, and that is important.

Rana Kapoor, MD and CEO, Yes Bank, said,

“Data is collected from citizens for citizen welfare and should therefore be shared with them. Secondly, data like Government budget usage, welfare schemes and subsidies increases transparency, thereby building greater trust.”

YES Bank also recommends more public-private partnerships (PPP) for open data to be fully utilised. It proposes the formation of an Open Data Council comprising representatives from private and public sectors as well as technology service providers. The council would be chaired by MeitY and will work towards the identification of ‘priority sectors’ which require data digitisation.

But, merely having large amounts of open data sets is not enough. The Centre for Internet and Society (CIS) sounds a word of caution.

In a separate report titled Open Government Data Study: India, the CIS states,

“To ensure the relevance of open government data, mechanisms have to be put in place to take its benefits to ordinary people and to marginalised communities. Simply putting up raw data will not suffice.”

The report notes that a richer open data ecosystem can be created by harnessing records and information from rural internet kiosks, community e-centres, e-healthcare, geographic information systems (GISs), dairy sector applications, teacher training programmes, online agricultural systems, wireless local loop solutions, databases of rural innovations, land property registrations, women and children’s services, and more.

For more details visit https://cis-india.org/openness/news/your-story-sohini-mitter-may-22-2-018-open-data-ecosystem-can-boost-indias-gdp-22-b-double-farmer-income

International Open Data Charter, Consultation Meeting, Delhi, July 09, 5:30 pm

sumandro — 2015-07-07T12:12:50Z

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.

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:

Open by Default;
Quality and Quantity;
Useable by All;
Engagement and Empowerment of Citizens; and
Collaboration for Development and Innovation.

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: http://opendatacharter.net/charter/.

Organisations and individuals are invited to submit comments directly on the Charter page, before July 31.

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.

We keenly look forward to your participation in the consultation meeting on Thursday.

The CIS office address is G 15, Top floor, behind Hauz Khas G Block Market, Hauz Khas, New Delhi 110016.

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. Location on Google Map.

Please share this invitation with all relevant individuals, organisations, and networks.

For more details visit https://cis-india.org/openness/international-open-data-charter-consultation-delhi-09072015

SoI’s Open Series Maps Fails to Implement Public Sharing of Govt Data

sumandro — 2017-05-04T12:19:01Z

Although it has made the topographic maps or the Open Series Maps available to general public, Survey of India’s (SoI) Nakshe portal will have to go through a variety of litmus test, as the initiative fails to implement the mandates of public sharing of government data using open standards and open license as put forward by the NMP 2005 and NDSAP 2012, says Sumandro Chattapadhyay, Research Director, The Centre for Internet and Society. This interview was published by Geospatial World on May 02, 2017.

Cross-posted from Geospatial World.

What are your views on the Nakshe Portal initiative from Survey of India?

It is a most welcome initiative by the Survey of India to realize the mandate of the National Map Policy (NMP) 2005 to publicly distribute “Open Series Maps of scales larger than 1:1 million”. The Survey of India has also drawn from and implemented the mandate of the National Data Sharing and Accessibility Policy (NDSAP) 2012 to make available the shareable and non-sensitive Open Series Maps documents without any necessary fees to access and use them.

The initiative, however, fails to achieve the goal of of public sharing of government data using open standards and open license as put forward by the NMP 2005 and NDSAP 2012. This substantively raises the barrier to access the Open Series Maps data and reduces its possibilities of reuse, especially for commercial innovation, in a very serious way. This undermining of the open data agenda is not only a concern for the Nakshe portal in particular, but also sets a dangerous precedent for future open government data initiatives in India.

What is your view on the data provided and its usability?

The Nakshe portal has created several barriers to access and use of the Open Series Maps data, all of which are in violation of the NMP 2005 and NDSAP 2012:

NDSAP 2012 mandates that shareable and non-sensitive government data (such as Open Series Maps) are made public through the data.gov.in portal created under the guidance of the NDSAP 2012. Survey of India may of course decide to publish the Open Series Maps data on the Nakshe portal along with on the data.gov.in portal. Publishing of the data only through the Nakshe portal not only violates the mandate of NDSAP 2012, they make such data much less discoverable.
NDSAP 2012 allows for “registered access” to open government data. That is, it allows for data to be shared only with users who have registered with the data publishing portal. Making registration only possible via Aadhaar number, however, significantly limits the number of users who can access this data. For example, non-Indian researchers form an important potential sub-section of users of Open Series Maps but they will not be able to access the data. The website neither has a privacy policy that clarifies how these submitted Aadhaar numbers will be stored, protected, and shared (if at all) by the Survey of India.
NMP 2005 instructs Survey of India to “allow a user to add value to the maps obtained (either in analogue or digital formats) and prepare his own value-added maps”. The Government Open Data License has been recently notified under NDSAP 2012 to guide permitted uses of open government data in India.

The very restricted approach to permitted end-uses of Open Series Maps by the Survey of India neither follow the NMP instruction, nor adopt the Government Open Data License. Data available from Nakshe portal cannot be exported (which is technically an absurd demand due to globally distributed nature of servers), commercialized, or altered. This creates a most serious barrier to using the Open Series Maps data available via the Nakshe portal.
The Nakshe portal has published geospatial data in PDF format. This is a clear violation of open data practices globally and the NDSAP Implementation Guidelines more specifically, which states that open geospatial data standards, like GML and KML, should be used).

Does this fall in line with the larger government aim of having open and accessible data? If not why?

In a nutshell, the Open Series Maps data being published on the Nakshe portal is neither open (as it does not use open standards to share the data and does not share the data under an open licenses) nor universally accessible (due to the requirement for registration via Aadhaar number).

What improvements do you suggest in the approach of SoI about the portal?

I have listed four major conflicts that the Nakshe portal has with the directives and guidelines offered by the NMP 2005 and NDSAP 2012. I sincerely hope that the Survey of India and the Department of Science and Technology will address them soon, as they significantly limit the ability of users to access and use the Open Series Maps data.

These changes will make the Open Series Maps data open, and ensure that the data can be accessed and innovated with by various stakeholders.

For more details visit https://cis-india.org/openness/survey-of-india-open-series-maps-fails-to-implement-public-sharing-of-govt-data

Geekup on Open Data in Bangalore

praskrishna — 2012-01-31T03:38:25Z

HasGeek in partnership with the Centre for Internet and Society invite you to a talk by Hapee de Groot on 25 January 2012 at CIS office in Bangalore.

Hapee de Groot

Hapee de Groot has worked on a wide range of issues around Open Source Data, ICT and Media Development, Access, Security, ICT for Development (ICT4D) and Localisation of Content, for a global stage towards greater transparency and accountability with the Dutch NGO Hivos since 2001. Before that, in the nineties, he was an advocate for free public internet access, working with xs4all and the digital city Amsterdam (DDS). He has also served as an editor for OneWorld International and ran the Digital Divide Campaign which turned into a still ongoing digital channel at DigitalOpportunity.org.

Hapee is one of the earliest generations of hackers and is highly influential on the subjects of ICT and Technology, Open Source, Social Media, and Technology in Africa, according to the influence measures on Klout. This is his 5th visit to India where he has worked previously on Mission 2009 and setting up access for remote areas in India, in collaboration with Toxic Links and Sarai, Delhi. He was a participant at the InfoActivism Camp in Bangalore, 2008.

His current interest is in the field of Open Government Data and he partners with six international donor agencies to run the Transparency and Accountability Initiative. He brings together his technical skills, policy experience and development research to train people in understanding the politics, responsibilities and risks associated with open data platforms and helps NGOs and governments in producing secure and citizen friendly platforms of data collection, distribution and dissemination.

Open Data

From his background working for a development organisation (HIVOS) Hapee will talk about Open Data and its use for citizen engagement. This is a twofold process. On the one side there is the history of the traditional NGO and their limited impact on the system. On the other side there are the Open Government Data initiatives pushed from within administrations, including by the Obama administration. The question is of how both can benefit from each other.

Hapee has some examples of citizen driven projects in Africa that HIVOS supports. He will present on these projects, including on data visualization and technical platforms. He would like to hear from the audience (that's you!) on similar projects in India.

The other side of the coin is privacy which is a bigger issue in India than in Africa. How can we be open while still protecting privacy? Hapee will lead a discussion on this.

Registrations are closed

Wednesday, 25 January 2012, Bangalore

Welcome with tea, coffee and snacks	6.00 p.m. - 6.15 p.m.
Lightning Talks	6.15 p.m - 7.00 p.m.
Open Data	7.00 p.m. - 8.00 p.m.

For more details visit https://cis-india.org/openness/geekup-bangalore

Open Government Data Report

praskrishna — 2011-08-23T02:40:59Z

Open Government Data Report (PDF) published by CIS.

For more details visit https://cis-india.org/openness/publications/ogd-report

Open Government Data

praskrishna — 2011-08-23T02:42:46Z

pdf

For more details visit https://cis-india.org/openness/publications/open-government-data.pdf

Open Government Data

praskrishna — 2011-08-23T02:43:15Z

pdf

For more details visit https://cis-india.org/openness/publications/open-government.pdf

Open Government Data Study: India

pranesh — 2011-08-23T02:43:49Z

For more details visit https://cis-india.org/openness/publications/open_data_india_final.pdf

Draft Report on Open Government Data in India (v2)

pranesh — 2011-08-23T02:47:22Z

For more details visit https://cis-india.org/openness/publications/ogd-draft-v2

Open access to government data on the cards

praskrishna — 2012-03-26T07:31:48Z

The way has been cleared for public access to the data collected by Union government ministries and departments, with official approval being accorded to the National Data Sharing and Accessibility Policy (NDSAP). T Ramachandran's article was published in the Hindu on March 25, 2012. Pranesh Prakash is quoted in it.

Following its recent approval by the Union Cabinet, the policy has been notified and is in the process of being gazetted, said R. Siva Kumar, CEO of the National Spatial Data Infrastructure, and head of the Natural Resources Data Management System, Department of Science and Technology.

The use of open data as a tool for promoting governmental transparency and efficiency has been gaining ground in some parts of the world. An Open Government Partnership was launched last year by the United States and seven other governments. Forty-three other governments have joined the partnership, which has endorsed an Open Government Declaration, expressing a commitment to better “efforts to systematically collect and publish data on government spending and performance for essential public services and activities.” It acknowledges the ‘right' of citizens to seek information on governmental activities.

India has not joined the partnership, but is collaborating with the U.S. in developing an open source version of software for a data portal.

The NDSAP states that at least five ‘high value' data sets should be uploaded to a newly created portal, data.gov.in, in three months of the notification of the policy. Uploading of the remaining data sets should be completed within a year.

The Department of Science and Technology will co-ordinate the effort and create the portal through the National Informatics Centre. The Department of Information Technology will work out the implementation guidelines, including those related to technology and data standards.

Welcoming the approval for the NDSAP, Pranesh Prakash, programme manager at the Centre for Internet and Society (CIS), a Bangalore-based NGO, said the removal of “a few good aspects” in an earlier draft of the policy — such as linkage with Sections 8 and 9 of the Right to Information Act that specify the kinds of information exempt from disclosure by the authorities — had weakened it “even further.” “None of the criticisms the CIS had sent in as part of the feedback requested on the draft have been addressed,” he said.

The NDSAP seeks “to provide an enabling provision and platform for providing proactive and open access to the data generated through public funds available with various departments/organisations of the government of India.”

However, the Ministries and Departments can draw up, within six months of the notification of the policy, a negative list of data-sets that will not be shared, subject to periodic review by an ‘oversight committee.'

The policy envisages three types of access to data: open, registered and restricted. Access to data in the open category will be “easy, timely, user-friendly and web-based without any process of registration/authorisation.” But data in the registered access category will be accessible “only through a prescribed process of registration/authorisation by respective departments/organisations” and available to “recognised institutions/organisations/public users, through defined procedures.” Data categorised as restricted will be made available only “through and under authorisation.”

The policy also provides for pricing, with the Ministries and Departments being asked to formulate their norms for data in the registered and restricted access categories within three months of the notification of the policy.

Read the original published in the Hindu

For more details visit https://cis-india.org/news/open-access-to-govt-data