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Data Policy Frameworks/Joseph Wafula


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Madagascar meetings on Open Science policy.

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Data Policy Frameworks/Joseph Wafula

  1. 1. International Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Hotel Carlton, Antananarivo, Madagascar 5-6th September 2017 Data Policy Frameworks Prof Joseph Muliaro Wafula Chair, CODATA- Kenya & Director, iCEOD Jomo Kenyatta University of Agriculture and Technology Kenya 1
  2. 2. Principles of Open Data (Open Data in a Big Data World An international accord) • Responsibilities 1. Scientists- as soon as possible permit them to be re-used and re-purposed Data should be deposited in well-managed and trusted repositories with low access barriers 2. Research institutions and universities- training in data management, preservation and analysis 3. Publishers-require the full referencing and citation of these data. 4. Funding agencies-should regard the costs of open data processes in a research project to be an intrinsic part of the cost of doing the research 5. Professional associations, scholarly societies and academies-develop guidelines and policies for open data 6. Libraries, archives and repositories-provision of services and technical standards for data to ensure that data are available 2
  3. 3. Boundaries of Openness • Open data should be the default position for publicly funded science. Exceptions should be limited to issues of privacy, safety, security and to commercial use in the public interest. • Proposed exceptions should be justified on a case-by-case basis and not as blanket exclusions. 3
  4. 4. Enabling practices • Citation and provenance- permanent digital identifier (DOI) • Interoperability-research data, and the metadata which allows them to be assessed and reused • Linkability- linked with other data based to increase access and use • Non-restrictive reuse-labelled as reusable by means of a rights waiver or non-restrictive 4
  5. 5. Open Data Policy Development • Open Data policy development need to be based on the following three pillars: 1. C-context 2. C-content 3. I-impact 5
  6. 6. Policy Context Pillar Key factors include: Level of Gov organization Key motivations, policy objectives Open data platform publicity Resource allocation & economic context Legislation Social, cultural & Political context Drivers for open data 6
  7. 7. Policy Content Pillar Licensing Access fee Data restriction Data presentation Contact with user Amount published Processing before publishing 7 Cost of opening Types of Data Data Formats & stds Data quality Provision of metadata
  8. 8. Policy Impact Pillar Key factors include: Re-use of published data Possible predicted risks Benefits aligned with motivation Public value Transparency & accountability Economic growth Entrepreneurial open data use/ innovation Efficiency Environmental sustainability Inclusion of marginalized 8
  9. 9. Key Strategic Pillars of Sustainable Open Data Programs Support open data infrastructure build based on open data policies, standards and supportive legal and licensing frameworks Make data publishing and access available and easy Create feedback channels for data users Prioritize dataset that users want Address quality issues of datasets Protect privacy rights Provide clear, consistent, and useful metadata 9
  10. 10. Open data implementation best practices • Have an open data policy • Ensure easy to understand content & formatting • Release high-value and high-impact data first • Ensure compatibility and interoperability • Establish data ownership • Involve stakeholders • Plan for open data advocacy • Implement interaction and feedback mechanism • Build communities of data producers and users • Organize training programs • Organize hackathons-ICT innovations 10
  11. 11. Thank you-Asante Sana MERCI 11