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Open Science Policy Towards Achieving the SDGs/Muliaro Joseph Wafula

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Presented during the BioVision2018 Conference, Alexandria, Egypt.

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Open Science Policy Towards Achieving the SDGs/Muliaro Joseph Wafula

  1. 1. Open Science Policy towards achieving the SDGs Prof Muliaro Wafula PhD. FCCS,FCSK Director ICT Centre of Excellence and Open Data (iCEOD) Jomo Kenyatta University of Agriculture and Technology & Chair, Technical Advisory Board African Open Science Platform BioVisionAlexandria 2018, 20–22 April 2018
  2. 2. Towards Open Data/Science Climate Change Conference- Kyoto University Japan 2016
  3. 3. Open Science supports SDGs. • Science demands that you support your arguments with evidence/data. • Open research data are essential for reproducibility, self-correction. • Open data foster innovation and accelerate scientific discovery through reuse of data .  FAIR: Findable, Accessible, Interoperable, Reusable.  Science International Accord on Open Data in a Big Data World: http://www.science- international.org/ (JKUAT has signed this accord and over 100 institutions worldwide)
  4. 4. Data Justice  What is Data Justice?  Fairness in the way people are made visible, represented and treated as a result of their production of digital data (Linnet Taylor, 2017).  Development justice cannot be delivered without data justice (Heeks)  Data justice can serve as a “neutral” coordination point for trust- building exercises  Just & FAIR data now embodies the principles of United Nations (UN) data revolution for Sustainable Development Goals (SDGs), which emphasizes data release, data use and value addition.
  5. 5. Boundaries  For data created with public funds or where there is a strong demonstrable public interest, Open should be the default.  As Open as Possible as Closed as Necessary.  Proportionate exceptions for:  Legitimate commercial interests (sectoral variation)  Privacy (‘safe data’ vs Open data – the anonymisation problem)  Public interest (e.g. endangered species, archaeological sites)  Safety, security and dual use (impacts contentious)  All these boundaries are fuzzy and need to be understood better!  There is a need to evolve policies, practices and ethics around closed, shared, and open data.
  6. 6. Plan Create Use AppraisePublish Discover Reuse Store Annotate Select DiscardDescribe Identify Hand Over? Access Supporting the Research Data Lifecycle
  7. 7. Open Data/Science Quality
  8. 8. Key: OS- Open Science Policy OA- Open Access Policy OD- Open Data Policy OR- Open Research Policy JD- Just Data Policy JFD- Just & FAIR Data SDGs- Sustainable Development Goals Open Science Policy Key building blocks OA OROD OS FD JFD JFD SDGs
  9. 9. Open Science Policy (OS) Just Data (JD) FAIR Data (FD) • Open Access • Open Data • Open Reproducible Research • Open Science Evaluation • Open Science tools • Justice Data • Neutral • Trust building • Findable • Available • Interoperable • Reusable (FAIR) UN SDGs Open Science Policy Open Access Policy Open Research Data Policy Open Data Policy OS for SDGs
  10. 10. Source: World Economic Forum Report, March 2015
  11. 11. Open Science Policy for SGDs • Open Data policy development need to be based on the following three pillars: 1. C-context 2. C-content 3. I-impact 12
  12. 12. Policy Context Pillar Key factors include: Level of Gov organization Key motivations, policy objectives Resource allocation & economic context Legislation Social, cultural & Political context Drivers for open Science 13
  13. 13. Policy Content Pillar Licensing Access fee Data restriction Data presentation Contact with user Amount published Processing before publishing 14 Cost of opening Types of Data Data Formats & stds Data quality Provision of metadata
  14. 14. 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/innovation Efficiency Environmental sustainability Inclusion of marginalized 15
  15. 15. Open Science Policy implementation towards achievement of SDGs • Have an open data, open research data, and open science polices • 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 research data advocacy • Implement interaction and feedback mechanism • Build communities of data producers and users • Organize training programs 16
  16. 16. Global trends in Open Access to Research Data • According to the European University Association (EUA) survey 2016/17 • Only 11.6% institutions had guidelines on Open Access to research data 17
  17. 17. Linking Funders Policies with Open Science policies would strengthen achievement of SDGs
  18. 18. Thank you!
  19. 19. references Arzberger, P., Schroeder, P., Beaulieu, A., Bowker, G., Casey, K., Laaksonen, L., Moorman, D., Uhlir, P. and Wouters, P. (2004). Promoting access to public research data for scientific, economic, and social development”, Data Science Journal, Vol. 3. CODATA, 2013 CODATA Strategic Plan 2013-2018. Available at: http://www http://www.codata.org/uploads/CODATA_Strategic_Plan-2013-2018-FINAL.pdf [Last accessed 8 July 2016] DCC, 2016 Digital Curation Centre. Available at: http://http://www.dcc.ac.uk/ [Last accessed 8 July 2016] Davies, T and Bawa, ZA 2012 Editorial: the promises and perils of open government data (OGD). Journal of Community Informatics, Vol. 8 No. 2. Huijboom, N. and Van Den Broek, T. (2011). Open data: an international comparison of strategies. European Journal of e-Practice, Vol. 12. Iryna, SAGM and Janssen, 2015 Organizational measures to stimulate user engagement with open data. Transforming Government: People, Process and Policy, Vol. 9 Iss 2 pp.181 – 206. DOI: http://dx.doi.org/10.1108/TG-05-2014-0016 JORD, 2016 JKUAT Open Research Data Policy. Available at: http:// http://www.jkuat.ac.ke/directorates/iceod/ [Last Accessed 8 July 2016] Kenya Ict Board (2012). Kenya Open Data Initiative: Strengthening Social Service Delivery. Kenei, Steve. (2012). Open data: learning from the Kenya Open Data Initiative (KODI) for CSOs. Available at http://www.devinit.org/wp-content/uploads/Open-data-learnings-fromKODI.pdf Lee, G and Kwak, YH 2011 An open government implementation model: moving to increased public engagement, IBM Center for The Business of Government, Washington, DC, Available at: http://www.businessofgovernment.org/sites/default/files/An%20Open%20Government%20Implementation%20Model.pdf [Last accessed 9 July 2016]. Mokua, E., & Chiliswa, Z. (2013). Strengthening bottom-up social accountability: citizen participation in national & county governance. Nairobi, Kenya. Mutuku, Leonida N, and Jessica Colaco. (2012). Increasing Kenyan Open Data Consumption : A Design Thinking Approach. ICEGOV. New York: ACM. Open Government Partnership (2011). United States Country Commitment, available at: www. opengovpartnership.org/countries/united-states ODI, 2016 Guide – Engaging with reusers. Available at: http://theodi.org/guides/engagingreusers. [Accesed 9 July 2016] Peled, A. (2011). When Transparency and Collaboration Collide: The USA Open Data Program. Journal Of The American Society For Information Science And Technology [JASIST], 62(11)

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