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Open Data/Science National Case Study Kenya/Joseph Wafula


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Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.

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Open Data/Science National Case Study Kenya/Joseph Wafula

  1. 1. Prof Muliaro Wafula, PhD, FCCS, FCSK Director, iCEOD and Associate Prof Computing Department JKUAT 1 African Open Science Platform-RDA Workshop Held on 7 – 8 June 2017 at La Palm Royal Beach Hotel, Accra Ghana Open Data/Science National Case Study of Kenya
  2. 2. Introduction (In) 1 : Open Data support for Smart and Sustainable Development (SSD) Open Data Value (EU ,2016) 2
  3. 3. In 2: ICT application for SSD (Source: World Economic Forum Report, March 2015) 3
  4. 4. In 3: Use of ICT for Disaster Management Develop early warning systems  Enhancing coordination, cooperation, and logistics; Develop databases of key disaster response agents Adopt and implement Tempere Convetio  calls for streamlining of disaster relief process by waiving regulatory barriers & and putting in place procedures that maximize access life saving ICT systems (SSDM Report, 2015) 4
  5. 5. In 4: Smart learning Make learning process adaptive, effective, efficient, engaging, flexible and accessible (Spector, 2014). Provide learner‐centred environments that are intelligent and open, and integrate digital virtual reality learning (Zhong & Zhang, 2006) Use quality education to achieve SDGs- Poverty, hunger, good health, quality education, gender equality, clean water & energy, economic growth, smart cities etc 5
  6. 6. In 5: Smart Sustainable Cities Deploy IoTs and sensors Install instruments for data collection and processing in support for efficient & effective city mgt & planning Build human capacity needed to support proper use of ICT Build reliable heterogeneous ICT systems that support interoperability Enable use and aggregation of data by systems and services 6
  7. 7. In 6: 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 7
  8. 8. In 7: Policy Context Pillar Key factors include: Level of Gov organization Key motivations, policy objectives Open data platform launch Resource allocation & economic context Legislation Social, cultural & Political context Drivers for open data Forces against Opening data 8
  9. 9. In 8: Policy Content Pillar Key factors include: Licensing Access fee Data restriction Data presentation Contact with user Amount published Processing before publishing 9 Cost of opening Types of Data Data Formats & stds Data quality Provision of metadata
  10. 10. In 9: 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 10
  11. 11. In 10: 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 11
  12. 12. In 11: Open data implementation best practices • Have an open data policy ( e.g. JORD-JKUAT) • Ensure easy to understand content & formatting • Release high-value and high-impact data first • Ensure compatibility and interoperability of systems (e.g. Kenya Health sector DHARC project –USAID/JKUAT) • Establish data ownership • Involve stakeholders • Plan for open data advocacy (e.g. KALRO) • Implement interaction and feedback mechanism • Build communities of data producers and users • Organize training programs • Organize hackathons( eg CODATA, JAPAN ai AFRICA Project, IBM, JKUAT, USAID have sponsored hackathon on Agriculture and Health sector open data to promote innovations and data use in Kenya) 12
  13. 13. Open Data Initiative(ODI) 1: JORD Policy  JKUAT with the technical assistance of CODATA, developed and implemented an open research data policy (JORD) Policy (February 2016)  JORD expected benefits include 1. ROI 2. Encouragement of diverse studies and opinion 3. Promotion of new areas of work not envisioned by the initial investigators. 4. Strengthen the credibility of scholarly publications 5. Development of new products and services 6. Support JKUAT open data platform ( 13
  14. 14. Designed in consultation with IBM Expert (Ben Mann) 14 ODI 2: JKUAT Open Data Platform
  15. 15. ODI 3: Innovative Open Data and Visualization (iODaV)-JKUAT and PAUST The specific objectives of AFRICA ai JAPAN Project Sub-Task Force are as follows: Enable and promote innovations based on open research data published, preserved and accessible for sharing and reuse. Enable and promote innovations and decision making process through use of data, information and scientific visualization Support Smart Learning Support and promote conformity with open data principles, standards and JKUAT Open Research Data (JORD) Policy Support and enable multidisciplinary research activities. Enable use and reuse of research data to accelerate innovations and achievement of the Kenya Vision 2030, and the UN Sustainable Development Goals (SDGs) in Kenya and the region Link and be linked to other open data platforms. iODaV supporting open data research and innovation. See Link JAPAN-Project.pdf 15
  16. 16. ODI 4: DRAFT NATIONAL INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT) POLICY JUNE 2016 ( • Article 5.10 –Data Centre:The government will:  Promote Data Centre infrastructure buildout carried out in cognizance of globally approved standards for purposes of ensuring quality of service under open access, carrier neutral model;  (b) Develop incentives to ensure and protect investment in the field of data centre; (c) Facilitate the development and enactment of legislation on localization to support growth in IT service consumption – as an engine to spur data centre growth; (d) Ensure that Data is processed fairly and lawfully in accordance with the rights of citizens and obtained only for specific, lawful purposes; 16
  17. 17. ODI 4….2 • Article 7.1- Digital Content  (a) Adopting Open Data principles: - in order to share historical/archive data that can be a rich source for the creative and broadcast industry; (b) Promoting Animation Labs (A-Lab):- Government will support incubation labs focused on animation & film production that is largely computer generated; (c) Content Ratings: - The Government will, develop policies and legislation that take into consideration age appropriate content that upholds national values. (d) Copyright Protection:- Government will recognise digital content as copyright material and will actively protect the rights of copyright owners through law enforcement to prevent digital content piracy. 17
  18. 18. ODI 4….3 • 15.4 Information Security The government will develop information security policies and guidelines to ensure protection of the confidentiality, integrity and availability of information 18
  19. 19. ODI 4…4 • 17.4 E-Services : 17.4.1 E-Health Services • Use electronic systems to ensure an efficient and standardized process for recording patient information; • Improve accessibility to medical research, information sharing and training through online educational programs and applications • Providing IT facilities in all public health facilities for administration and management of health processes; • Providing IT training to medical staff; • Setting standards and norms for IT in the healthcare system; • Developing legislation governing telemedicine, health information systems; • Establishment of national resource centres for IT in the healthcare system; and • Developing a central database on disease and treatment to be used as a shared resource tool medical personnel in various parts of the country to enhance prompt curative services and better public health management. 19
  20. 20. ODI 4…5 • 17.4.2 E-Agriculture Promote local mobile applications targeting farmers in various geographical regions across Kenya; Build ICT capacity in agricultural institutions, farmer organizations and groups; Encourage ICT infrastructure deployment across the country Promote use of ICTs in agricultural research, development and innovation so as to be more responsive to farmers’ needs; Promote collaborations in agriculture using ICT among Kenya government agencies, private sector, farmers and other international organizations such as F.A.O and ITU 20
  21. 21. ODI 5: DIGITAL HEALTH APPLIED RESEARCH CENTRE (DHARC) -JKUAT • DHARC is one of the deliverables of HIGDA Project funded by USAID 5 yr project started Oct 2016 • DHARC will play a crucial role in supporting the wide scale implementation of interoperability solutions. • DHARC - a center of applied research, focusing on implementation science and the socio-technical aspects • It will provide examples of how key components (DHIS2, DATIM, MFL ver2, AMRS and other mHealth solutions) interoperate, providing guidelines-based care workflows, policies, and M&E mandates. 21
  22. 22. ODI 5…2 DHARC Benefits • The Lab is designated to be a center for applied research. • DHARC will leverage the university’s existing relationship with other academic institutions and will be a participant in regions eHealth research network initiatives • Afford vendors an opportunity to readily test new product development and integration adaptors against a standard compliant implementation • DHARC will join a network of interoperability labs which have been established in Canada (2007), South Africa (2010), and the Philippines (2016). • Cultivate and foster joint collaborations and relationships with private sector organizations that have leading edge capabilities regarding HIS technological underpinnings 22
  23. 23. ODI 6: Open Data and its Relevance in Agricultural Research: The Case of Arid and Semi-Arid Lands Agricultural Productivity Research Project (ASAL APRP) • A total of 54 Scientists and Partners implementing the ASAL- APRP activities were sensitized on the role of open data in agricultural research, concepts, principles, data management, best practices and the value of data through data sharing • Over 30 datasets on ASAL-APRP activities were collected and published on the ASAL Knowledge Hub. • It is envisaged that raising awareness of open data in agriculture research has the potential to contribute to food security in the ASALs 23
  24. 24. ODI 6…2 • Agricultural Science Technology Indicators (ASTI) Kenya Data is another initiative. • It is led by International Food Policy and Research Institute (IFPRI) and managed by KALRO. • ASTI datasets include: financial and human resources, institutional information, and Research and Development (R&D). 24
  25. 25. ODI 6….3 Case of operationalizing Open Data system in KALRO • The ASAL-APRP used to pilot on the Open data operationalization: Sensitization of ASALAPRP management, scientists and partners on open data,  Data mining, business analytics and visualization,  Application Programming Interfaces (APIs) and Mobile applications development and  Commercialization of data and innovations in Agricultural research 25
  26. 26. ODI 6…4 • 54 Participated- strong concerns regarding plagiarism and perceived abuse of open data • As a way forward participants were willing to adopt open data if guided by institutional and national policies, with condition that data repositories are managed and owned by the ASALAPRP or KALRO 26
  27. 27. Thank you! 27