Implementation of FAIR Principles to African Marine and Coastal Data- Open Science Approach 23rd -27th Sept. 2024, KEFRI Mombasa Prof Muliaro Wafula PhD, FCCS, FCSK Chair CODATA ,Kenya Lead Scientist, AOSP EA Node Associate Professor JKUAT, Kenya CODATA- Prof Muliaro Wafula 1 Why Open Science? • significant amounts of research still locked behind paywalls and only accessible at a high cost, this creates a research and innovation divide. Open Science and Open Access can democratize higher education, by providing equitable access to literature resources to academic communities. CODATA- Prof Muliaro Wafula 2 CODATA- Prof Muliaro Wafula 3 CODATA- Prof Muliaro Wafula 4 CODATA- Prof Muliaro Wafula 5 CODATA- Prof Muliaro Wafula 6 CODATA- Prof Muliaro Wafula 7 Best Practices ✓ Promote open science culture through training and awareness raising ✓ Develop cloud computing facilities that provide networked computation, data access and analysis tools ✓ Promote science diplomacy ✓ Encourage citizen science ✓ Support open collaboration through ICTs ✓ Support Open Innovation ✓ Promote open software code Implementers: Government, Policy Makers, Universities, Scholarly Societies, Publishers, Research Institutes, Research Funding Agencies, Repositories, Libraries, Archives, and Researchers ✓ Adopt Findable, Accessible, Interoperable and Reusable (FAIR) Data Principle CODATA- Prof Muliaro Wafula 8 CODATA and WorldFAIR project CODATA- Prof Muliaro Wafula 9 CODATA- Prof Muliaro Wafula 10 CODATA- Prof Muliaro Wafula 11 CODATA- Prof Muliaro Wafula 12 CODATA- Prof Muliaro Wafula 13 CODATA- Prof Muliaro Wafula 14 CODATA- Prof Muliaro Wafula 15 CODATA- Prof Muliaro Wafula 16 CODATA- Prof Muliaro Wafula 17 African Open Science Platform (AOSP) The African Open Science Platform (AOSP) with HQ in SA (https://aosp.org.za/) • It has 3 regional nodes: 1. 2. 3. Egyptian National Authority for Remote Sensing and Space Sciences (NARSS) is the Northern African Node based in Egypt; The African Institute for Capacity Development (AICAD) is the East African Node based in Kenya, and The UbuntuNet Alliance is the Southern Africa Node based in Malawi Key Objectives • Create a platform, with the potential to be a powerful lever of social, cultural and scientific vitality and of economic development. • put African scientists at the cutting edge of contemporary, data-intensive science as a fundamental resource for a modern society • Enable researchers to access a wide diversity of data streams, which, when integrated, reveal deep patterns in complex phenomena. • Make science a more public enterprise that engages actively with business, policymakers, governments, communities and citizens as knowledge partners • facilitate data-intensive, solutions-oriented research, bringing scientists and non-scientists together as knowledge partners in open networks of collaborative learning and problem solving CODATA- Prof Muliaro Wafula 18 CSTCloud-AOSP EA Cloud federation CODATA- Prof Muliaro Wafula 19 TREs to facilitate secure and ethical data sharing. Example: DASSA Project for Africa Research Communities –APHRC Funded • TREs implement rigorous security measures, including data anonymization, encryption, and controlled access, to safeguard against unauthorized access or breaches. • TREs enable researchers to access and use data in a controlled, transparent manner that adheres to ethical guidelines. • TREs ensure that data is used responsibly, respecting participants' rights and mitigating the risk of misuse through enforcing governance, and legal (National/International) frameworks eg General Data Protection Regulation (GDPR) in the EU or the Health Insurance Portability and Accountability Act (HIPAA) in the U.S. • TREs foster collaboration among researchers by providing secure access to shared datasets, while also ensuring that the integrity and confidentiality of the data are maintained, • TREs build trust among researchers, data providers, and the public. This trust is crucial for encouraging data sharing and collaboration, which are essential for addressing complex global challenges • TREs by protecting sensitive data and building trust among stakeholders, they enable collaborative research while safeguarding individual privacy and data integrity CODATA- Prof Muliaro Wafula 20 FAIR Implementation Profile (FIP) • A FAIR Implementation Profile (FIP) is a list of declared technologies made as a collective decision by the members of a particular community of practice. • the FIP Wizard captures FIPs by means of a questionnaire that prompts a representative of the community (the Community Data Steward) to provide answers that explicitly profile the FAIR implementation approach of that community. • FIPs are published by the FIP Wizard as FAIR (machine-readable) and Open data • FIPs will need to be revised to reflect the evolving needs of the community and the ongoing development of FAIR technologies. • Nanopublications: The FIP Wizard makes use of a data format called nanopublications to capture FIPs as FAIR data (in this case, as FAIR Digital Objects). CODATA- Prof Muliaro Wafula 21 FIP Example • WorldFAIR WP11 Oceanography https://drive.google.com/file/d/1k9Ofin5syNKNHpnn2WAZ6MwEctYa EpFx/view?usp=drive_link CODATA- Prof Muliaro Wafula 22 5 Projects Exercise FIP IOC Mombasa Training Exercise https://docs.google.com/spreadsheets/d/1kDk66FZUAYH20WltDJ89_ODvwg LLWCm/edit?usp=drive_link&ouid=101924755130327600330&rtpof=true&sd =true FIP IOC Mombasa Training Template https://docs.google.com/spreadsheets/d/14T-7hCTiWOtoX1AxlsIwVRBTC5zxNOptQvpJMuw2lc/edit?usp=drive_link CODATA- Prof Muliaro Wafula 23 Thank you! muliaro@icsit.jkuat.ac.ke CODATA- Prof Muliaro Wafula 24