Centre for Internet and Society

Workshop on Open Data for Human Development - Sessions Report

sumandro — 2015-08-28T08:16:09Z

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.

Day 01, June 03, 2015

The first day of the workshop began with Mr. Prem Das Rai, 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. Dr. A.K. Shiva Kumar, Director of the International Centre for Human Development (IC4HD), UNDP India, welcomed the participants and initiated a panel discussion on data, ICTs and governance. The panel had three speakers: Mr. Srivatsa Krishna, IAS and Secretary, Department of Information Technology, Biotechnology, and Science and Technology, Government of Karnataka; Dr. B. Gangaiah, Additional Director General, Centre for Good Governance, Hyderabad; and Sunil Abraham, Executive Director, the Centre for Internet and Society, Bengaluru and Delhi.

Mr. Krishna 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 Bangalore One and Karnataka Mobile One.

Dr. Gangaiah 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 here.

Mr. Abraham’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.

The second session of the day started with a detailed presentation by Mr. T. Samdup, Joint Director, Department of Information Technology, Government of Sikkim, on the context, the making, and the salient features of the Sikkim Open Data Acquisition and Accessibility Policy (SODAAP), 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 here.

The presentation by Mr. Samdup was followed by one by Mr. Sumandro Chattapadhyay 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 here.

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.

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.

In the third session of the day, Joy Ghosh and Amitangshu Acharya of Akvo talked about the challenges of collecting structured born-digital data from the grassroots level, and how using mobile-based applications, like Akvo FLOW, 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 here.

Day 02, June 04, 2015

The second day started with two consecutive presentations by Mr. Thejesh GN of DataMeet, and Mr. Sivaram Ramachandran of Mapbox 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 PDF Tables and Tabula for converting PDF tables to spreadsheets, Open Refine for cleaning data, and RAW and DataWrapper 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 Mapbox Studio, Quantum GIS, and Leaflet JS. He also gave a brief introduction to OpenStreetMap, the wiki-like user-contributed global map data platform. Both the presentations can be accessed here and here, 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.

The group engaging in applications of various software tools for working with statistical and geospatial data was facilitated by Mr. Thejesh and Mr. Ramachandran. 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 Tableau 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 iD. 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.

The second group working on documenting data flows and identifying bottlenecks was facilitated by Mr. Chattapadhyay, Mr. Acharya, and Ms. Rajashi Mukherjee 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.

The major common challenges noted by these teams were: 1) delays in collection, verification, and digitisation of data, 2) inability of state government agencies to access data collected as part of centrally-funded welfare schemes, and 3) parallel systems of data collection employed by different departments leading to duplication of efforts and data.

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 website, 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.

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.

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.

In the final session of the day, Dr. Shiban Ganju 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 here.

Day 03, June 05, 2015

The final day started with a set of presentations from Mr. Garab Dorji, Deputy Chief IT Officer, Office of the Prime Minister, Thimphu, Bhutan of the Government of Bhutan, Mr. Birendra Tiwari, Senior Informatic Officer, Department of Information Technology, Government of Meghalaya, and Mr. Milan Chhetri of Melli Dara Paiyong Gram Panchayat Unit, Sikkim, on various technological solutions being explored, implemented, and practiced by the respective governments and administrative units.

Mr. Milan Chhetri’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, Pawan Kumar Chamling. 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.

The second session of the day started with a presentation from Mr. D. P. Misra, 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 National Data Sharing and Accessibility Policy 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 here.

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: 1) Governance Framework and Budgetary Support, 2) Data Inventory and Negative List, 3) Data Acquisition and Open Standards, 4) Data Publication Process, Licenses, and Timeframes, and 5) 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.

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.

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.

For more details visit https://cis-india.org/openness/workshop-on-open-data-for-human-development-2015-06-report

Survey of Estimates of Economic Value of Open Government Data

Ömer Faruk Sarı — 2015-08-22T08:42:30Z

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.

Introduction

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).

Note about Exchange Rate: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.

Countries and Regions

Global

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]

European Union

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]

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]

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]

Graham Vickery estimated this number as EUR 200 Billion (USD 264 Billion) in 2012. [5]

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]

McKinsey, in their report in 2013, estimated the monetary value of open data for EU countries as USD 900 Billion. [1]

G20

For G20 countries taken together, Omidyar Network estimates the economic value of open data as USD 2.6 Trillion. [7]

Australia

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]

In 2008, ACIL Tasman estimated the potential economic value of open data for Australia as AUD 1.4 Billion (USD 938 Million). [8]

John Houghton's estimation for the monetary value of open data is AUD 195 Million (USD 197 Million). [9]

Denmark

Zangenberg and Company, in 2011, estimated the economic value of open data for Denmark as DKK 520 Million (USD 92 Million). [3]

France

SerdaLAB, in 2009, estimated EUR 1.57 Billion (USD 2.3 Billion) can be gained by open data in France. [10]

Germany

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]

The POPSIS study estimated this number as EUR 3.2 Million (USD 4.2 Million), in the same year, 2011. [12]

Norway

Graham Vickery's report mentions the potential value of open data as NOK 260 Million (USD 43 Million). [5]

Spain

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]

The Netherlands

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]

United Kingdom

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]

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]

Dot-Econ's estimation for monetary value of open data in United Kingdom is EUR 590 Million (USD 778 Million). [16]

United States

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]

Pira International Ltd. et al, in 2000, estimated the value as EUR 750 Billion (USD 838 Billion). [2]

Data Types and Sectors

Consumer Finance

McKinsey estimates USD 210-280 Billion, globally, for the consumer finance sector. [1]

Based on McKinsey's Report: The estimate for G20 countries is USD 169 Billion; for Australia, the estimate is AUD 4.2 Billion (USD 4.3 Billion).

Consumer Products

Across the globe, with the use of open data McKinsey estimates USD 520-1470 Billion can be generated from services of consumer products. [1]

Based on McKinsey's Report: 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.

Education

McKinsey estimates that USD 890-1180 Billion can be generated alone in education sector, across the globe. [1]

Based on McKinsey's Report: 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).

Electricity

McKinsey estimates USD 340-580 Billion, across the globe. [1]

Based on McKinsey's Report: 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).

Geospatial Data

Dr. Nam D. Pham estimates the potential value of Geo-spatial information in US as USD 96 Billion. [17]

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]

Fornefeld et al estimates the value of geo-spatial information in Germany as EUR 1.7 Billion (USD 2.2 Billion). [11]

The POPSIS study estimates the economic value of Meteorological data re-use market in Netherlands as EUR 10 Million (USD 13 Million). [12]

Graham Vickery estimates (in 2012) NOK 72 Million (USD 12 Million) can be generated in Norway through geo-spatial information. [5]

The Proyecto Aporta study estimates potential value of geo-spatial information in Spain as EUR 183 Million (USD 240 Million). [13]

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]

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]

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]

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]

Healthcare

Globally, USD 300-450 Billion is the estimate of McKinsey, depending on open data use in healthcare sector.[1]

Based on McKinsey's Report: 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).

Oil and Gas

McKinsey estimates USD 240-510 Billion that can be generated through open data for the oil and gas sector, across the globe. [1]

Based on McKinsey's Report: 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).

Transportation

McKinsey estimates the value of transportation sector with the use of open data as USD 720-920 Billion for the transportation sector, globally. [1]

Based on McKinsey's Report: 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).

Reference

[1] Manyika, James, et al. 2013. Open Data: Unlocking Innovation and Performance with Liquid Information. McKinsey Global Institute. October. Accessed from http://www.mckinsey.com/insights/business_technology/open_data_unlocking_innovation_and_performance_with_liquid_information.

[2] Pira International Ltd. et al. 2000. Commercial exploitation of Europe’s Public Sector Information - Executive Summary. European Commission, Brussels. Aceeseed from ftp://ftp.cordis.europa.eu/pub/econtent/docs/2000_1558_en.pdf.

[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 https://digitaliser.dk/resource/1021067/artefact/Kvantificering+af+den+erhvervsm%c3%a6ssige+v%c3%a6rdi+af+%c3%a5bne+offentlige+data+-+Zangenberg2011.pdf.

[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 http://www.bigopendata.eu/wp-content/uploads/2014/01/bod_europe_2020_full_report_singlepage.pdf.

[5] Vickery, Graham. 2012. Review of Recent Studies on PSI Re-Use and Related Market Developments. European Commission, Brussels. Accessed form http://ec.europa.eu/information_society/newsroom/cf//document.cfm?doc_id=1093.

[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 http://ec.europa.eu/information_society/newsroom/cf/document.cfm?doc_id=1198.

[7] Lateral Economics. 2014. Open for Business: How Open Data can Help Achieve the G20 Growth Target. Omidyar Network. June. Accessed from https://www.omidyar.com/sites/default/files/file_archive/insights/ON%20Report_061114_FNL.pdf.

[8] ACIL Tasman. 2008. The Value of Spatial Information: The Impact of Modern Spatial Information Technologies on the Australian Economy. March. Accessed from http://www.crcsi.com.au/assets/Resources/7d60411d-0ab9-45be-8d48-ef8dab5abd4a.pdf.

[9] Houghton, John. 2011. Costs and Benefits of Data Provision. Report to the Australian National Data Service. September. Accessed from http://www.ands.org.au/resource/houghton-cost-benefit-study.pdf.

[10] Guerre, Louise, et al. 2009. Le marché de l’information électronique professionnelle en France. SerdaLAB. Presentation at CCIP on January 27. Accessed from http://www.fnps.fr/Public/Article/File/DOCUMENTS/Presentation_ET_IEP09_270109.pdf.

[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 http://www.micus.de/pdf/MICUS_GeoBusiness-BMWi.pdf.

[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 http://ec.europa.eu/newsroom/dae/document.cfm?doc_id=1158.

[13] Ministry of Finance and Public Administration et al. 2012. Characterization Study of the Infomediary Sector. Proyecto Aporta. Accessed from http://datos.gob.es/sites/default/files/files/Estudio_infomediario/121001%20RED%20007%20Final%20Report_2012%20Edition_vF_en.pdf.

[14] Deloitte. 2013. Market Assessment of Public Sector Information. Report to the Department for Business, Innovation and Skills, Government of UK. Accessed from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/198905/bis-13-743-market-assessment-of-public-sector-information.pdf.

[15] Pollock, Rufus. 2010. Welfare Gains from Opening up Public Sector Information in the UK. University of Cambridge. Accessed from http://rufuspollock.org/economics/papers/psi_openness_gains.pdf.

[16] DotEcon. 2006. The Commercial Use of Public Information (CUPI). Report OFT861. Office of Fair Trading, Government of UK. Accessed from http://www.opsi.gov.uk/advice/poi/oft-cupi.pdf.

[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 http://www.gpsalliance.org/docs/GPS_Report_June_21_2011.pdf.

[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 http://www.consultingwhere.com/wp-content/uploads/resources/UK_Market_Assessment_v11_Final.pdf.

[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 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.

Exchange Rates

Note: Exchange rates are taken for December of the year concerned.

Euro per 1 US Dollar
2000	0.8947
2006	0.7580
2009	0.6868
2010	0.7562
2011	0.7599
2013	0.7296
2014	0.8123
British Pound per 1 US Dollar
2006	0.5095
2011	0.6415
2013	0.6106
2014	0.6397
Australian Dollar per 1 US Dollar
2008	1.4919
2011	0.9874
2014	1.2144
New Zealand Dollar per 1 US Dollar
2008	1.7923
Norwegian Krone per 1 US Dollar
2010	5.9774
Danish Krone per 1 US Dollar
2011	5.6495

For more details visit https://cis-india.org/openness/survey-of-estimates-of-economic-value-of-open-government-data

Journalism Students of the SDM College Ujire Enrich Karnataka’s Folklore And Folk Art in Kannada Wikipedia

pavanaja — 2015-09-15T09:09:12Z

As part of an ongoing partnership with the Shree Dharmasthala Manjunatheshwara (SDM) College Ujjire, with active support from a few Kannada Wikipedia editors, CIS-A2K began an outreach programme so that the journalism students could help many Kannada readers about Karnataka’s rich folklore and folk art.

Both first year and second year students of Master of Communication and Journalism (MCJ) of SDM College participated in this workshop. Out of 35 participants, 11 were female. Students had discussed already about enhancing Kannada Wikipedia articles on folklore and folk art forms of Karnataka. About 20 new user accounts were created and the students have started creating articles in their user sandboxes which they will later move as articles upon enhancement with vital information. Some of the students chose to find existing articles and add more information to them. Long time Kannada Wikimedian S N Vasanthkn. from Dharmasthala helped as resource person to help the new editors with Wikipedia editing. However, as first timers, many struggled with the encyclopedic way of writing and maintaining neutral point of view. These students will be mentored by Vasanth as he is visiting them every Monday.

More details from the event page.

For more details visit https://cis-india.org/openness/blog-old/journalism-students-of-the-shree-dharmasthala-manjunatheshwara-sdm-college-ujire-enrich-karnataka2019s-folklore-and-folk-art-in-kannada-wikipedia

Wikipedia edit-a-thon in Mangalore to bring Tulu Wikipedia live

pavanaja — 2015-09-15T09:07:24Z

A Wikipedia edit-a-thon was organised in Mangalore, Karnataka this 14th to encourage more Tulu-language speakers to contribute to Tulu Wikipedia. Tulu Wikipedia is is currently in the Incubator but the enthusiastic editor community is putting their best effort to bring it live out of Incubator. This edit-a-thon is one of the many activities the Tulu Wikimedia community has organised.

30 Wikipedia editors participated and created about 89 new articles. Interestingly, 12 of these 30 participants crossed more than 10 edits. Some of the new participants faced problems with using the input methods and the Wiki-markup. It is important to note that because of the lack of addition of Tulu-alphabet code points in the Unicode chart, and the speakers being well conversant in Kannada, they are using Kannada script for Tulu Wikipedia Incubator project. There is a plan to organise a monthly meetup and/or edit-a-thon to continue the momentum these editors have brought in. Tulu Sahitya Academy has kindly supported the event.

More details in the event page (in Tulu).

For more details visit https://cis-india.org/openness/wikipedia-edit-a-thon-in-mangalore-to-bring-tulu-wikipedia-live

Talamaddale on August 23

praskrishna — 2015-09-20T15:57:16Z

A talamaddale ‘Karna Chedana’ and ‘Shalya Nirgamana’ will be organised at Abhisheka mandira on the premises of Manjunatha temple at Kadri on August 23 at 2.30 p.m. Yakshagana playback singers Balipa Narayana Bhagawatha and Puttige Raghurama Holla will take part.

Workshop

A three-day workshop on writing for Tulu Wikipedia began at Ramakrishna Pre-University College and Ramakrishna College here on Friday. Speaking on the occasion U.B. Pavanaja, Programme Officer, Centre for Internet and Society, Bengaluru, and a Wikipedia representative said that if a language was to sustain it should in use continuously and all information should be available in that language. Tulu also should be kept alive using modern tools of technology.

Read the original coverage published by the Hindu on August 16, 2015 here.

For more details visit https://cis-india.org/openness/news/the-hindu-august-23-2015-talamaddale-on-august-23

ಬೆಳ್ತಂಗಡಿ:ಎಲ್ಲಾ ಕಾಲಕ್ಕೂ ಲಭ್ಯ ಇರುವ ಸ್ವತಂತ್ರ ಹಾಗೂ ಮುಕ್ತ ವಿಶ್ವಕೋಶ ವಿಕಿಪೀಡಿಯಾ-ಪವನಜ

pavanaja — 2015-09-06T12:09:51Z

The Centre for Internet & Society (CIS-A2K) has ongoing partnership with SDM College, Ujire. Students of Masters in Communication and Journalism will be writing articles in Kannada Wikipedia. This academic year’s programme was inaugurated on August 12. It was followed by hands-on workshop. SahilOnline has reported this on August 14, 2015.

Read the online entry published by SahilOnline on August 14, 2015.

ಬೆಳ್ತಂಗಡಿ: ವಿಕಿಪಿಡಿಯಾ ಎಲ್ಲರಿಗೂ ಎಲ್ಲಾ ಕಾಲಕ್ಕೂ ಲಭ್ಯ ಇರುವ ಸ್ವತಂತ್ರ ಹಾಗೂ ಮುಕ್ತ ವಿಶ್ವಕೋಶವಾಗಿದೆ. ಉಪಯುಕ್ತ ಬರವಣಿಗೆಗಳ ಕೋಶವನ್ನು ಹೊಂದಿದ ಇದನ್ನು ಯಾರು ಬೇಕಾದರೂ ಮುಕ್ತವಾಗಿ ಬಳಸಬಹುದು ಎಂದು ಪತ್ರಿಕಾ ಅಂಕಣಕಾರ ಬೆಂಗಳೂರಿನ ಡಾ. ಯು. ಬಿ. ಪವನಜ ಹೇಳಿದರು.
ಅವರು ಗುರುವಾರ ಉಜಿರೆ ಎಸ್.ಡಿ.ಎಮ್. ಸ್ವಾಯತ್ತ ಕಾಲೇಜಿನಲ್ಲಿ ಪತ್ರಿಕೋದ್ಯಮ ವಿಭಾಗದ ವಿದ್ಯಾರ್ಥಿಗಳಿಗೆ ವಿಕಿಪಿಡಿಯಾ ಬರವಣಿಗೆ ಬಗ್ಗೆ ಮಾಹಿತಿ ನೀಡಿ ಮಾತನಾಡಿದರು.

2001ರಲ್ಲಿ ಅಮೇರಿಕಾದಲ್ಲಿ ಪ್ರಾರಂಭಗೊಂಡ ವಿಕಿಪಿಡಿಯಾ ಪ್ರಪಂಚದ 290 ಭಾಷೆಗಳಲ್ಲಿ ಲಭ್ಯ ಇದೆ. ದೇಶದ 20 ಭಾಷೆಗಳಲ್ಲಿ ಲೇಖನಗಳನ್ನು ಒಳಗೊಂಡಿದೆ. 2003ರಲ್ಲಿ ಕನ್ನಡದಲ್ಲಿಯೂ ವಿಕಿಪಿಡಿಯಾ ಬರವಣಿಗೆ ಪ್ರಾರಂಭವಾಗಿದೆ. ಕೇವಲ 20 ಸಾವಿರ ಲೇಖನಗಳು ಇದೆ. ಬೇರೆ ಭಾಷೆಗಳಿಗೆ ಹೋಲಿಸಿದರೆ ಕಡಿಮೆ ಅನ್ನಿಸುತ್ತದೆ. ಕನ್ನಡದಲ್ಲಿ ಪ್ರಬುದ್ಧತೆಯ ಬರವಣಿಗೆ ಶೈಲಿಯನ್ನು ಸುಧಾರಿಸಿಕೊಳ್ಳಲು ಇದೊಂದು ಸುಲಭದ ಮಾಧ್ಯಮ. ವಿದ್ಯಾರ್ಥಿಗಳು ಸಂಶೋಧನಾ ಪ್ರವೃತ್ತಿ ಮತ್ತು ಕೌಶಲ ಬೆಳೆಸಿಕೊಳ್ಳಬೇಕು ಎಂದರು.

ವಿಕಿಪಿಡಿಯಾ ಬಳಕೆಯಿಂದ ನಮ್ಮ ಭಾಷೆ ಮತ್ತು ಶೈಲಿ ಸುಧಾರಣೆಯಾಗುತ್ತದೆ. ಮಾಹಿತಿ ಸಂಗ್ರಹದೊಂದಿಗೆ ಕ್ರೋಢೀಕರಣ ಮತ್ತು ಉಲ್ಲೇಖವೂ ಅಗತ್ಯ. ಗೂಗಲ್‍ನಲ್ಲಿ ಯಾವುದೇ ಮಾಹಿತಿ ಇರುವುದಿಲ್ಲ. ಮಾಹಿತಿ ಎಲ್ಲಿ ಸಿಗುತ್ತದೆ ಎಂದು ಮಾತ್ರ ಅದು ಸೂಚಿಸುತ್ತದೆ. ಯಾವುದೇ ಪ್ರಕರಣ ಘಟಿಸಿದ ತಕ್ಷಣ ವಿಕಿಪಿಡಿಯಾದಲ್ಲಿ ಅದು ನವೀಕರಣ ಆಗುತ್ತದೆ. ಪತ್ರಕರ್ತರು ನಿರಂತರ ಅಧ್ಯಯನಶೀಲರಾಗಿ ಮಾಹಿತಿ ಸಂಗ್ರಹಿಸಬೇಕು. ಭಾಷೆ ಬಳಸಿದಾಗ ಅದು ಬೆಳೆಯುತ್ತದೆ ಹಾಗೂ ನಮ್ಮ ಸಂಸ್ಕೃತಿ ಉಳಿಯುತ್ತದೆ ಎಂದರು.

ಕಾಲೇಜಿನ ಪತ್ರಿಕೋದ್ಯಮ ವಿಭಾಗದ ಮುಖ್ಯಸ್ಥ ಪ್ರೊ. ಭಾಸ್ಕರ ಹೆಗ್ಡೆ ಉಪಸ್ಥಿತರಿದ್ದರು. ವಿದ್ಯಾರ್ಥಿಗಳಾದ ಅರಹಂತ ಸ್ವಾಗತಿಸಿ, ಚೇತನ್ ಕಾರ್ಯಕ್ರಮ ನಿರ್ವಹಿಸಿದರು.

For more details visit https://cis-india.org/openness/news/sahil-online-august-14-2015

International Open Data Charter, Consultation Meeting, Bengaluru, July 28, 5:30 pm

sumandro — 2015-08-21T05:45:53Z

This is to invite you to a consultation meeting on the first public draft of the International Open Data Charter organised by CIS with DataKind and DataMeet at the CIS office in Bengaluru, on Tuesday, July 28, 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.

We are 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 Tuesday.

The CIS office address is Number 194, 2nd 'C' Cross, Domlur, 2nd Stage, Bangalore 560071 (opposite Domlur Club and near the TERI building).

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-bengaluru-28072015

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.

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

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

Upload More Kannada Articles on Wikipedia

pavanaja — 2015-09-13T06:09:34Z

Uploading information in Wikipedia helps to develop language, said Indian Languages Programme Manager U B Pavanaja here on Saturday. The article was published in Indian Express (Mangaluru edition) on July 5, 2015.


Above: A scanned version of the article that appeared in Indian Express on July 5, 2015.

For more details visit https://cis-india.org/openness/news/indian-express-july-5-2015-upload-more-kannada-articles-on-wikipedia

Kannada Wikipedia Workshop in Mangaluru (Coverage in Udayavani)

pavanaja — 2015-09-13T06:17:49Z

As part of its ongoing partnership with St Aloysius College Mangaluru, CIS-A2K co-organized a workshop with the Kannada wikipedia community on Kannada Wikipedia. Udayavani covered this in their edition on July 5.

For more details visit https://cis-india.org/openness/news/kannada-wikipedia-workshop-july-4-2015-coverage-in-udayavani

Not many contributors for Kannada-centric Wiki page

pavanaja — 2015-09-13T05:42:46Z

Wikipedia, which has over 60,000 contributing editors in India, has only 33 Kannadigas contributing to the Kannada section, said Pavanaja U B, programme manager, The Centre for Internet and Society, Bengaluru.

The article was published in the Times of India (Mangaluru edition) on July 5, 2015.

At the inaugural of the two-day workshop on 'Kannada Wikipedia' organized for students by the department of Kannada at St Aloysius College on Saturday, he said, "Wikipedia, which has over three crore articles, has 18 lakh editors spread across the world. While there are 33 editors for Kannada, only eight are involved actively," he said, adding that Wikipedia at present has about 20,500 articles in Kannada.

On the objectives of the workshop, Pavanaja said, "We have plans to train 25 Kannada students from St Aloysius College in uploading and updating Kannada articles in Wikipedia. Those 25 students will train 500 more Kannada students in the college and thereby increase the number of articles uploaded to Kannada Wikipedia. It will be a part of their academic assignment."

Pavanaja told students to cross-check each article before uploading to Wikipedia. "Students should adopt a research methodology to prepare articles for Wikipedia. One must study the subject in detail and then upload it to Wikipedia. It does not require scholarly knowledge," he added.

Wikipedia, which is a collaborative encyclopedia, has 23 Indian languages including Kannada and Tulu, he said. "Though Tulu articles were being published from 2007, there were only 135 articles uploaded to Wikipedia. Later, after 2013, many volunteered to upload articles and at present there are more than 800 articles in it. We have plans to increase the number of Tulu articles," he added.

"It is very easy for one to become a Wikipedia editor. Those who want to become the Kannada Wikipedia editor may create a login after opening kn.wikipedia.org and go through the tutorial files. Writing suitable articles for Wikipedia will neither fetch you money, nor name in it. It is selfless social service and necessary for the protection of language," Pavanaja said.

For more details visit https://cis-india.org/openness/news/the-times-of-india-july-5-2015-not-many-contributors-for-kannada-centric-wiki-page

Odia Wikipedia meets Google Developer Group

Sailesh Patnaik — 2015-07-16T13:17:07Z

This is a guest post by Wikimedian Sailesh Patnaik who has been a ardent contributor in Odia-language Wikipedia and other Wikimedia projects and has led outreach and partnership building initiatives to grow the Wikimedia projects in Odia and other Indian languages. In this post Sailesh shares his personal experience from his interaction at the Google Extended I/O organised by Google Developer Group in Bhubaneswar, Odisha. All the views are author’s personal views.

On this June 14 Google Developer Group Bhubaneswar organised an extended I/O at Bhubaneswar. To my surprise I found that there were more than 60 participants attending the conference. Basanta Kumar Maharana. TELL WHO HE IS, was the speaker in the event. Basanta shared his memories from Google I/O 2015, San Francisco and demonstrated about the new launch and updates of Google. It was quite interesting for me to learn about various Google apps (?) kike Google cardboard, Android M, etc.

In an informal interaction with the host Sanjib Parida, he proposed me to speak about Odia Wikipedia there who came to know about the project while attending Odia Wikipedia's 13th anniversary.

I started my talk by asking four questions to the audience:

How many of the audience know about Wikipedia? (Everyone raised hands.)
Who have copied content from Wikipedia for assignments? (People giggled about it, 50-60% of the participants nodded saying yes!)
Who knows that anyone can “edit” Wikipedia? (the count reduced to about 10-20%)
Who knows about Odia Wikipedia and contributes in creating and editing articles? (Only 4-5 people said yes, I found 2-3 of them being contributors to Odia Wikipedia)

I started my talk with a brief introduction to the history of Odia Wikipedia and how it was started in 2002 as one of the first four Indic language Wikipedia projects along with Assamese, Malayalam and Punjabi.

Odia Wikipedia was in dormant for the next eight years which was intervened when Wikimedians like Subhashish Panigrahi, Ashutosh Kar, Anshuman Giri, Mrutyunjaya Kar and others started building a community to improve and increase the content of Odia Wikipedia. Now we have grown as a community consisting about 17 active editors and the project has more than 8800 articles. The monthly page view of Odia Wikipedia has grown to more than 800,000 from merely 200,000 in 2011. We have three active Odia-language Wikimedia projects; Odia Wikipedia, the largest Odia online encyclopedia, online library Odia Wikisource, and multilingual online dictionary Odia Wiktionary. Odia Wikipedia community has not limited their work only in editing articles, rather has expanded into many other aspects of Odia computing. On the day of Odia Wikipedia’s 13th anniversary it has launched a converter that can convert many non-Unicode encodings into Unicode. We have been supported by CIS-A2K for many activities to grow our community and the Odia Wikimedia projects. Like Odia Wikipedia we have 20 more Wikipedia projects in other Indic languages and in over 288 languages globally. Hindi Wikipedia among all the Indic Wikipedia projects has the highest number of articles whereas Malayalam Wikipedia has the highest number of quality articles.


Pictured above: Participants at the conference organized by the Google Developer Group at Bhubaneswar

Some of the state governments have been quite open and positive in bringing Wikipedia into academics. The Government of Kerala has introduced Wikipedia contribution in its curriculum for BA and MA students and The Government of Tamilnadu has introduced Tamil Wikipedia to participants at the International Tamil Conference which helped the Tamil Wikimedia community in expanding the community. Awareness and community building are two major challenges for us at this moment. I invited the participants there to take part in the Wikimedia movement.

I touched upon the Odia input for the audience. While it was quite difficult a few years back for Odia input it is no longer a challenge. With the help of the Android app “Indic Keyboard” we can also edit Odia Wikipedia from mobile phones. I myself have used it for editing Wikipedia, for tweeting and posting Facebook status in Odia. After the talk I was asked a few questions. There are two important ones I would like to share here. To the question “how can I contribute in Odia Wikipedia? Do I have to install any keyboard for it?” I elaborated how anyone can edit and expand articles or create new Wikipedia articles in Odia just by creating a new account and logging in to https://or.wikipedia.org, and how the Wikimedia projects like Wikipedia have an input tool called Universal Language Selector (ULS) enabled in them and one does not need to install any additional input method. I was asked by one from the here is no support from the government at this moment but we are constant effort to collaborate audience about the Government of Odisha helping to grow Odia Wikipedia.

Many participants came and personally greeted me after the event was over. I was really excited to share the news about our (Odia Wikimedia community's plans for creating Bhubaneswar Wiki Group/WikiTungi with two active communities in engineering colleges like CET and KIIT. It was a wonderful experience at Google I/O and I hope to grow our Wikimedia community by collaborating with more like minded communities.

For more details visit https://cis-india.org/openness/blog-old/odia-wikipedia-meets-google-developer-group

Magic words in Wikipedia

tanvir — 2015-09-14T08:37:56Z

The struggle of finding solutions for replacing and retrieving content /words/facts and figures, in this day and age of machines that seem to know everything should ideally be a non-issue. Yet, for many of us who write reports based on the data available at that moment, it is nothing less than a nightmare to come to know that there has been a significant change in the data with which our reports have been written.

How does one mediate between the ever changing nature of data in general and more specifically understand the way a publicly curated knowledge ecology operates (Wikipedia can be taken as an example). It is made clear to us by the various earlier reports¹ that the amount of data exchange and content generation can be astonishingly high when one takes into acount Open Knowledge repositiries such as Wikipedia in the major languages of the world, commons.wikimedia project and other Wikimedia projects.

Our understanding of the available data can often lead us to erroneous conclusions, if one does not account for the constant updating nature of such data. The bigger risk is for a reader/researcher/user to assume that the data quoted in news reports/research or reports as static data (as against the dynamic data discussed here) and form conclusions based on the same. Another catastrophic possibility is to use the data procured in such fashion for planning and evaluation purposes. If one does not acknowledge the possibilty of change of data and plans only with the available data and does not account for the changes under contingency measures the entire planning might be off the mark and might not be successful when executed. Even for the purpose of evaluation, the constant change in data has to be tracked and monitored to appreciate the work/critical evaluation of the nature of the work.

How do we bell the Cat (read as the changing data) if not on the traditional print and digital platforms atleast in the Wikimedia universe? To do this manually is a task that is supremely tasking and prone to high error possibilities. If there is one thing researchers accross subject domains agree it is that no data is always better than wrong data. One must also think of the precious resources that would be spent on this data mining activity, the human hours, the time resources, the physical and infrastructural resources that are consumed in this process of keeping the data feed accurate and updated. I do notdeny the efficacy of systems where data mining is done manually. It is the digital researcher in me who would like to introduce to the readers a tool called 'Magic Words' https://www.mediawiki.org/wiki/Help:Magic_words used in the Wikimedia universe to plug this problem and offer researchers fewer nightmares regarding the validity of the data.

Magic words offer a one stop solution towards resolving the issues of sourcing, securing and updating our data fields. With this one can be sure that the data fields do not become obsolete and might yield to erronoeus and in worse case contradictory interpretations. If there is a research report which seeks to compare page numbers of Kannada Wikipedia with another Wikimedia project. The traditional way to do this would be to aggregate the number of articles/redirects and publish the same. The reader ends up with a number that is static in nature. Does this mean that this number is permanent, the answer is an easy no because Kannada Wikipedia is by nature and definition a live project that will be changed and added to constantly.

An ordinary reader who does not have the bandwidth to follow the researcher's footsteps in finding out the total number of articles on Kannada Wikipedia will have to be content with the same static number provided even when he knows that the number is no longer accurate. By using the magic word {{NUMBEROFARTICLES}} in a report that is written on Meta, the researcher allows the data to update automatically and changes the nature of data from static to dynamic. A classic example for the static data and the dynamic nature of the data using Magic words can be seen at https://en.wikipedia.org/wiki/List_of_Wikipedias (dynamic data represented) https://meta.wikimedia.org/wiki/List_of_Wikipedias (static data that needs to be updated manually). The change in the nature of presentation of data also implies that the facts and figures available are not just numbers but indicate factors that have driven the nature of data and influenced the formation of number of pages. Dynamic data allows us to ask interesting questions such as 'what factors contributed to the spike/decline in the number of articles' and learn from these numbers.

It becomes an essential responsibility for the researchers working with digital resources and in digital domains to broaden the scope of their research and also extend its validity to a longer course that would be difficult for quantitative research done with traditional resources and hosted on traditional platforms. Given below is a table of key magic words and its function.

Si. No	Magic Word	Used for	Used in Wikimedia Projects and Local Wiki Projects
1	{{NUMBEROFFILES}}	Number of uploaded files.	Metrics and Government Databases
2	{{NUMBEROFEDITS}}	Number of wiki edits.	Metrics and Student Evaluation
3	{{REVISIONDAY}}	Day edit was made	Metrics and Student Evaluation
4	{{REVISIONSIZE}}	The size (bytes of wikitext) of the current revision of this page	Metrics and Data inflow
5	{{NUMBEROFVIEWS}}	Number of page views.	Metrics and Website Traffic
6	{{REVISIONUSER}}	The username of the user who made the most recent edit to the page, or the current user when previewing an edit.	Metrics and Collaboratively written documents
7	{{NUMBEROFADMINS}}	Number of users in the sysop group.	Metrics and Focus group
8	{{PAGENAME}}	Full page title (including all subpage levels) without the namespace.	Metrics and Info websites

Magic words facility can be employed in many and diverse ways (as of now these are fully operational in the Wikimedia universe) if the Mediawiki software is used to build applications. For eg: Websites, evaluation programmes, databases and other applications.

Reference:

1. https://meta.wikimedia.org/wiki/CIS-A2K/Indic_Languages#State_of_Indic_Language_Projects
2. https://www.mediawiki.org/wiki/Manual:Magic_words

For more details visit https://cis-india.org/openness/blog-old/magic-words

Train the Trainer: Running effective outreach activities in India

tanvir — 2015-07-30T15:20:46Z

It is heartening to report that many Wikimedia projects in Indian languages have sustained, and even experienced an upward trend in, editor engagement. However, in terms of content creation, the majority of these projects are still facing grave challenges that put their very existence at risk.


February’s Train the Trainer program—which aims to increase the number of new editors and ‘ambassadors’ for the movement at large—proved a rewarding experience for attendees. Photo by U.B. Pavanaja, freely licensed under CC-BY-SA 4.0.

Pageview statistics for Indian-language Wikipedias are pleasantly surprising. Almost all exceed one million unique views every month—but despite these positive readership figures, very few of these readers become actively involved in the project’s communities. There is almost no increase in the number of active and very active editors on a month-to-month basis.

These statistics are alarming. They suggest a very real possibility of volunteer burnout, a dearth of second-generation editors who might continue established work, and, perhaps most importantly, the projects losing their reputation as frequently-updated and reliable encyclopedias.

The most realistic way of dealing with this problem is to bring in new volunteers who will be guided by more experienced users. They would, eventually, fill the shoes of senior Wikimedians and continue to fight for free and open knowledge.

The Centre for Internet and Society – Access to Knowledge (CIS-A2K)—a campaign to promote the fundamental principles of justice, freedom, and economic development—realised as part of its needs-assessment program that although outreach activities are being conducted to attract more volunteers to Wikipedia, they had not been as successful as expected.

To address this problem, CIS-A2K came up with the ‘Train the Trainer’ program (TTT). The program is designed to teach volunteers essential skills and abilities to, in turn, train the general public on all things Wikipedia.

These volunteers, or “trainers,” develop key competencies that will allow them to conduct a successful outreach workshop, such as public speaking, presentation skills, peer-to-peer learning, effective communication, reporting, and followup strategies.

To take part in the TTT program, it is imperative that participants be active Wikipedians. CIS-A2K is angling TTT as both a skill-building initiative amongst Indian-language Wikimedians, as well as a platform where Indian-language Wikipedians can meet and greet each other in-person. This allows participants to interact with Wikimedians from many different communities, to understand their nature of engagement, and share the challenges they have faced and overcome.

The contextual learning and exchange of ideas at these events, similar to editathons, are very special. They help participants feel like they are a part of both their linguistic community and a greater Indian-language community, opening up new opportunities of collaboration, project development, and friendship.

TTT intends to train Indian-language Wikimedians into effective ambassadors of the movement—keen and able to spread the goals and mission of the open knowledge movement. The program also strives to combine best practices from all over the world, taking cues from various chapters, user groups, and thematic organisations. It builds bridges between communities in terms of communication, encouraging partnerships and collaborations that can result in long term rewards.

Link to the original entry on Wikimedia Blog

For more details visit https://cis-india.org/openness/blog-old/train-the-trainer-running-effective-outreach-activities-in-india

Open Data Intermediaries in Developing Countries - A Synthesis Report

sumandro — 2015-06-16T09:40:58Z

The roles of intermediaries in open data is insufficiently explored; open data intermediaries are often presented as single and simple linkages between open data supply and use. This synthesis research paper offers a more socially nuanced approach to open data intermediaries using the theoretical framework of Bourdieu’s social model, in particular, his concept of species of capital as informing social interaction... Because no single intermediary necessarily has all the capital available to link effectively to all sources of power in a field, multiple intermediaries with complementary configurations of capital are more likely to connect between power nexuses. This study concludes that consideration needs to be given to the presence of multiple intermediaries in an open data ecosystem, each of whom may possess different forms of capital to enable the use and unlock the potential impact of open data.

This synthesis report is prepared by François van Schalkwyk, Michael Caňares, Sumandro Chattapadhyay, and Alexander Andrason, based on the analysis of a sample of cases from the Exploring the Emerging Impacts of Open Data in Developing Countries (ODDC) research network managed by the World Wide Web Foundation and supported by the International Development Research Centre, Canada. Data on intermediaries were extracted from the ODDC reports according to a working definition of an open data intermediary presented in this paper, and with a focus on how intermediaries link actors in an open data supply chain.

Below is an excerpt from the report. The full report can be accessed from Figshare or from Github.

Implications for Policy

The practical implications of the findings presented here are not insignificant. Given that most of the open data intermediaries in this study were found to rely on donor in order to execute their open data-related social benefit activities, it is perhaps funders who should take heed of the findings presented here when making grants. For example, where a single agency is awarded a funding grant to improve the lives of citizens using open data, questions need to be asked whether the grantee possesses all the types of capital required not only to re-use open data but to connect open data to specific user groups in order to ensure the use and impact of open data. Questions to be asked of grantees could include: “Who are the specific user groups or communities that you expect to use the data, information or product you are making available?”; “Does your organisation have existing links to these user groups or communities?”; and “What types of channels are in place for you to communicate with these user groups or communities?”. Alternatively donor funders may rethink awarding funding to single agencies in favour of funding partnerships or collaborations in which there is a greater spread of types of capital across multiple actors thereby increasing the likelihood of effectively linking the supply and use of open data. Such an approach would be more in line with an ecosystems approach to multiple actors being participants in the data supply and (re)use of open data, and the importance of keystone species and positive feedback loops to ensure a healthy system.

In addition to highlighting the importance of social capital in developing-country innovations systems, Intarakummerd and Chaoroenporn (2013) point to the importance of government initiating and coordinating the activities of both public and private intermediaries. Our findings indicate that should governments adopt such a co-ordinating role in the case of open data intermediaries, they would do well to engage with a broad spectrum of intermediaries, and not simply focus on intermediaries who possess only the technical capital required to interpret and repackage open government data. To be sure, this will be a challenging role for government to assume as conflicting vested interests are likely to surface. Although speculative, it is possible that such a coordinating role is likely to work best when there is a strong pact between all actors involved. And this, in turn, will require a common vision of the value and benefits of open data – something that cannot be taken for granted.

Should there be agreement on the value and benefits of open data, our findings show that most of the intermediaries in our study are NGOs that rely on donor funding. This should raise serious questions about the sustainability of open data initiatives that are civic-minded in conjunction with questions about what incentives other than that of donor funding could ensure the supply and use of open data beyond project funding. Funders and supporters of open data initiatives may have to think not only about the value and benefits or funding projects, but of the sustainability and the impacts of the products produced by the projects they fund.

For more details visit https://cis-india.org/openness/blog-old/open-data-intermediaries-in-developing-countries