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African Open Science Platform
The document presents the African Open Science Platform (AOSP) and various initiatives aimed at enhancing open science and data access across Africa, featuring discussions on policies, capacity building, and the promotion of open data practices. It highlights the importance of collaboration among stakeholders to improve scientific transparency and maximize the use of data for societal benefits. Key examples and frameworks for open science are outlined, along with challenges and necessary infrastructure for successful implementation.
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African Open Science Platform
- 1. African Open SciencePlatform Presented by Ina Smith 17 July 2017, ICTP
- 2. Agenda • Overview ofthe African Open Science Platform (AOSP) • Botswana Open Science Open Data Policy Strategy – Joseph Mwelwa • Data, Software and Library Carpentry for Capacity Building – Bianca Petersen
- 3. Progress re OpenAccess in Africa • Open Institutional Repositories (Webometrics - 74) • Open Educational Resources (E.g. UCT OER) • MOOCs (MOOC List) • Open Access Journals (DOAJ)
- 4. • Open Monographs •Open Conference Proceedings (E.g. SUNConferences) • Open Patents • Open Source Software & Open Standards (incl. instruments) • Open Access & Open Science Policies (ROARMAP) • Open Science • Research Data Management Planning (RDM)
- 5. Open Data Repositories(re3data - 16)
- 6. • OA2020 (2017) •Dakar declaration on Open Science in Africa (2016) • Open Data in a Big Data World Accord (2015) • Open Science for the 21st century A declaration of ALL European Academies (2012) • Salvador Declaration on Open Access Cape Town Declaration (2010) • Cape Town Open Education Declaration (2008) • Kigali Declaration on the Development of an Equitable Information Society in Africa
- 7. Why African OpenScience/ Open Data?
- 12. “I have temporarilyretracted the study thanks to the alert from Pierre. The blog is not peer reviewed, it is intended for early release of research that will later be sent for peer review.” https://sustainingknowledgecommons.org/2017/03/21/apc-comparison-2010-and-2016/
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- 14. Intellectual Property “In manyAfrican countries, intellectual property protection is undeveloped, ineffective, expensive and unenforced and in some African countries there exists uncertainty on protection of IP and the threat of innovation being stolen away from inventors.” https://ipstrategy.com/2016/12/05/a-new-look-at-intellectual-property- and-innovation-in-africa/
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- 17. Accord on OpenData in a Big Data World • Values of open data in emerging scientific culture of big data • Need for an international framework • Proposes comprehensive set of principles • Provides framework & plan for African data science capacity mobilization initiative • Proposes African Platform Call to Endorse
- 18. Open Science Defined “OpenScience is the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable reuse, redistribution and reproduction of the research and its underlying data and methods.” - FOSTER Project, funded by the European Commission
- 19. “Open Science movesbeyond open access research articles, towards encompassing other research objects such as data, software codes, protocols and workflows. The intention is for people to use, re-use and distribute content without legal, technological or social restrictions. In some cases, Open Science also entails the opening up of the entire research process from agenda-setting to the dissemination of findings.” - Open and Collaborative Science in Development Network project, funded by IDRC
- 20. Open Data, OpenScience & Research Lifecycle (Foster)
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- 25. Sci-GaIA Open SciencePlatform
- 27. Value of anAfrican Platform • Collective view of Open Science activities • Create awareness • Showcase African research • Contribute to global knowledgebase • Increase return on investment (re-use) • Identify lack of data/opportunities/gaps
- 28. • Identify needse.g. skills development, infrastructure, policy formulation, etc. • Act as conduit for links with international open data and open science programmes and standards • Cross-use data across disciplines/studies • Establish relationships between data • Manage Intellectual Property (IP)
- 29. • Make datamore discoverable/visible (metadata) • Encourage collaboration between scientific & private sectors, citizens • Participate in collective problem-solving • Allow verification of existing data, predict trends • Accelerate discovery – speed is everything (e.g. outbreaks) • Attract funders
- 30. About AOSP • Fundedby the National Research Foundation (NRF) (SA Dept. of Science and Technology) • Directed by CODATA (ICSU) • Managed by Academy of Science of South Africa (ASSAf) • Through ASSAf hosting ICSU Regional Office for Africa (ICSU ROA)
- 31. About ICSU &CODATA • ICSU: International Council for Science – consists of 17 interdisciplinary bodies e.g. CODATA http://www.icsu.org/ • CODATA: Committee on Data for Science and Technology http://www.codata.org/ • Mission: Strengthen international science for the benefit of society by promoting improved scientific and technical data management and use
- 32. About ASSAf • Recognisescholarly achievement & excellence • Mobilise members in the service of society • Conduct systematic & evidence-based studies on issues of national importance (ASSAf OA Repository) • Promote the development of an indigenous system of South African research • Publish science-focused journals (SciELO SA) • Training in Open Journal Systems (OJS) • Criteria for high quality OA journals • Ambassador for Directory of Open Access Journals (DOAJ)
- 33. • Develop productivepartnerships with national, regional and international organisations to building capacity within the National System of Innovation (NSI) • Create diversified sources of funding for sustainable functioning and growth of a national academy • Communicate with relevant stakeholders • Association of African Universities (AAU) DATAD-R harvester of OA repositories • Evaluation instrument – harvesting IRs adhering to criteria for best practice (ISO 16363, Data Seal of Approval etc.)
- 34. AOSP Governance • AdvisoryCouncil (Chair: Prof Khotso Mokhele) • Terms of Reference • Technical Advisory Board • Terms of Reference • Platform Office (ASSAf) & ICSU/CODATA Office • CODATA Executive Director (Dr Simon Hodson) • 2x Senior Project Managers (Ina Smith & Susan Veldsman) • Project plan • Capacitate on network • Reports to funder • Workshops, meetings, presentations • 1x Junior Project Officer (ASSAf)
- 35. Key Stakeholders • GlobalNetwork of Science Academies (IAP) • International Council for Science (ICSU) • Regional Office for Africa (ROA) • Committee on Data for Science and Technology (CODATA) • World Data System (WDS) • The World Academy of Sciences (TWAS) • Research Data Alliance (RDA) • Association of African Universities (AAU)
- 36. • Network ofAfrican Science Academies (NASAC) • African Research Councils (incl. DIRISA, funders) • African Universities • African Governments • NRENs (Internet Service Providers for Education) • Other
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- 38. Policy Framework • UgandaDraft Open Data Policy • White Paper on Open Research in South Africa • National Research Foundation (NRF) • White Paper on Open Research Data Strategy in Botswana • Kenya Open Science Policy • OECD Principles & Guidelines for Access to Research Data from Public Funding
- 39. Infrastructure Framework • RDM,Repositories (cloud), Internet Connectivity • NRENs • Centres for High Performance Computing • SKA telescope: Explore five untold secrets of the cosmos. These include how the very first stars and galaxies formed just after the Big Bang.
- 40. “Construction of theSKA is due to begin in 2018 and finish sometime in the middle of the next decade. Data acquisition will begin in 2020, requiring a level of processing power and data management know-how that outstretches current capabilities. Astronomers estimate that the project will generate 35,000-DVDs-worth of data every second. This is equivalent to “the whole world wide web every day,” said Fanaroff. The project is investing in machine learning and artificial intelligence software tools to enable the data analysis. In advance of construction of the vast telescope - which will consist of some 250,000 radio antennas split between sites in Australia and South Africa - SKA already employs more than 400 engineers and technicians in infrastructure, fibre optics and data collection.” http://sciencebusiness.net/news/79927/Square-Kilometre- Array-prepares-for-the-ultimate-big-data-challenge
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- 44. Capacity Building Framework •Research Data Management Planning: ContentDM • Repositories: Figshare, re3data, Zenodo, DSpace, Dataverse • Command Line Interpretation: UNIX Shell • Software Development Platform: GitHub, Mercurial • Data Organisation: Spreadsheets • Data Cleaning: OpenRefine • Data Management & Databases: SQL, Hadoop • Data Analysis & Visualisation (incl. programming): R, Python, ggplot2, MATLAB, R Markdown
- 45. Challenges re CapacityBuilding
- 47. Incentives Framework • Mechanismsthat acknowledge publication of datasets and to promote data sharing
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- 49. Actions & DeliverablesYear 1 • AOSP Side Event to the SFSA 2016 - Launch • AOSP Workshop AAU 2017 - Policy • Madagascar Meeting & Workshop 2017 – Policy & Capacity Building • Botswana National Open Data Open Science Forum 2017 - Policy • UbuntunetConnect Ethiopian Workshops 2017 – Policy & Infrastructure • Database & Networks – Surveys etc
- 50. Closing Remarks • Collaborate& learn – strength in diversity • Data the new “gold” – predict trends (Prof Joseph Wafula) • Trusted data managed in trusted way • Exploit data for the benefit of society (Min Naledi Pandor) • Tell the African story, in an African way
- 51. Stay in Touch! •ina@assaf.org.za • Mailing list • Facebook • Twitter Please add your email to the email list. Thank you!