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Supporting Scientific Research for Sustainable Development Goals in Africa/Susan Veldsman


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Presented during Uganda Open Data/Open Science National Dialogue 25-26 April 2018.

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Supporting Scientific Research for Sustainable Development Goals in Africa/Susan Veldsman

  1. 1. Supporting Scientific Research for Sustainable Development Goals in Africa Presented by Susan Veldsman Director: Scholarly Publishing Porgramme Academy of Science of South Africa (ASSAf) Kampala Workshop, 25 April 2018
  2. 2. SDGs • SDGs adopted by world leaders in 2015 (17) • Countries committed themselves to: • End poverty • Fight inequalities and • And tackle climate change by 2030 • Monitoring the SDGs is central to making progress with them • Leveraging partnerships that utilise data is critical in achieving these goals—keep countries on track • Data must be open to use and open to republish
  3. 3. “The Ugandan government is moving to make all government data open to the p Ministry released the first draft of the country’s new Open Data Policy in May 201 Uganda plans to switch to an open-by-default data policy, where data surroundin done by publicly-funded institutions will be openly available on the Internet” Sep
  4. 4. Subject repositories
  5. 5. Subject repositories
  6. 6. Institutional repositories
  7. 7. Journal repositories
  8. 8. What is missing? • Leadership for coordination, collaboration and mobilisation • Develop a global consensus on principles and standards • Not enough high quality data—still too many poor data • Data arrives too late • Not enough issues are being covered by current data MDGs vs SDGs • Data availability between indicators varies • Standardisation allows combination of data, comparisons, aggregation---additional value • Access to data—sometimes limited • Share technology and innovation for the common good • New resources for capacity development • Exploit quick wins on SDG data
  9. 9. What is missing (2) • Entire groups of people and key issues stays invisible • i.e woman –data is rarely collected from women, economic roles of woman • Data has to be collected with end users in mind • Good data are relevant, accurate, timely, accessible, comparable and without political interference • Broader discussion on Open Science!!
  10. 10. “Although I have no right to tell African billionaires and millionaires how they should use their money‚ I would like them to consider following the example set by Bill and Melinda by investing in scientific research in Africa,” Chibale said. “Africa is now also a place for malaria drug discovery and development. It is important to combat malaria‚ not just because of the unacceptably high numbers of deaths it is responsible for‚ especially among our children‚ but also because malaria continues to choke economic growth on the continent.”
  11. 11. The USA National Science Foundation: towards OS enterprise “Open science is defined … as public access (i.e., no charge for access beyond the cost of an internet connection) to scholarly articles resulting from research projects, the data that support the results contained in those articles, computer code, algorithms, and other digital products of publicly funded scientific research, so that the products are findable, accessible, interoperable, and reusable (FAIR), with limited exceptions for privacy, proprietary business claims, and national security”
  12. 12. Systemic Transition of the science system which affects the way • Research is performed • Engagement with society and the economy in research activities is conducted • Knowledge is shared/diffused/preserve • Research projects/results are evaluated • Research is funded • Researchers are incentivized • Future researchers are trained
  13. 13. Data requirements • discoverable –a web search can readily reveal their existence; • accessible–the data can be electronically imported into or accessed by a computer; • intelligible–there must be enough background information to make clear the relevance of the data to the specific issue under investigation; • assessable–users must be able to assess issues such as the competence of the data producers or the extent to which they may have a pecuniary interest in a particular outcome;
  14. 14. Data requirements (2) • usable–there must be adequate metadata (the data about data that makes the data usable), and where computation has been used to create derived data, the relevant code, sometimes together with the characteristics of the computer, needs to be accessible. • Data should be of high quality wherever possible, reliable, authentic, and of scientific relevance.
  15. 15. AOSP Focus Areas Policy Infrastructur Capacity Building Incentives
  16. 16. Conclusion • Number of open data efforts already on its way to support SDG’s • Government has realised the importance of Open Data and an Open Data Policy • Need to focus on other role players as well i.e libraries • Data requirements to ensure global participation and impact • Open Science and the need for support for scientific research
  17. 17. Thank you! Susan Veldsman