Abstract
Scientific evidence comprises Data, Information and Knowledge (DIK) often presented in a pyramidal structure. Data are the foundation base of the pyramid, followed by the information layer and the knowledge layer at the top. Data are rudimentary and expand into information and knowledge—the DIK pyramid—and also constitute scientific evidence. Such evidence is critical for demonstrating prospects, best practices and successful development models. The Internet and the evolution of the Web have resulted in easily discernible data that serve as scientific evidence in the form of big data. Transformation of the African continent through the 17 Sustainable Development Goals (SDGs) rests on the availability of scientific data. Data are not a panacea for societal problems but data science can nevertheless open up possibilities for innovations that could help fight hunger, poverty, inequalities and underdevelopment. There is also a huge potential for big data to serve as evidence for successes and failures of the SDGs. However, without its proper creation, planning, verification, storage, security and organisation; big data cannot be used appropriately. This is where Research Data Management (RDM) adds value, mainly because RDM is concerned with planning and organisation of data in the entire research cycle, including the dissemination and archiving of results. This chapter draws on examples from Kenya, Malawi and South Africa to analyse RDM as a strategic imperative for scientific evidence in the transformation of Africa through the SDGs, with a specific reference to SDG 4 on the quality of education.
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References
Ackoff RL (1989) From data to wisdom. J Appl Syst Anal 16:3–9
Amorim RC, João AC, João RS, Cristina R (2016) A comparison of research data management platforms: architecture, flexible metadata and interoperability. Springer, Berlin
Berman F, Cerf V (2013) Who will pay for public access to research data? Science 341:616–617
Bird C (2008) Are you searching for ways to find information? Proceedings of the 22nd British HCI group annual conference on HCI 2008: people and computers XXII, 1–5 Sept 2008, Liverpool
Chiware E, Mathe Z (2015) Academic libraries’ role in research data management services: An South African perspective. S Afr J Libr Inf Sci 81(2):1–10
Compound Interest (2015) A rough guide to types of scientific evidence. http://kbsgk12project.kbs.msu.edu/wp-content/uploads/2015/06/A-Rough-Guide-to-Types-of-Scientific-Evidence-2.pdf. Accessed 20 Nov 2017
Cope B, Kalantzis M (2016) Big data comes to school: Implications for learning, assessment and research. AERA Open 2(2):1–19
Cox AM, Pinfield S, Smith J (2016) Moving a brick building: UK libraries coping with research data management as a “wicked” problem. J Librariansh Inf Sci 48:3–17
Cox AM, Kennan MA, Lyon L, Pinfield S (2017) Developments in research data management in academic libraries: Towards an understanding of research data service maturity. J Assoc Inf Sci Technol 68(9):2182–2200
Elman C, Kapiszewski D (2013) Guide to sharing qualitative data. Syracuse University: center for qualitative and multi method inquiry (CQMI)
Guest G, Namey EE, Mitchell ML (2012) Collecting qualitative data: a field manual for applied research. Sage, New York
Hey T, Tansley S, Tolle K (2009) The fourth paradigm: data-intensive scientific discovery. Microsoft Corporation, Redmond, WA
Huys R, Dafferts A, Peter J (2004) Multiple time scales and subsystem embedding in the learning of juggling. Hum Mov Sci 23(3–4):315–336
International Council for Science (ICSU) and International Social Science Council (ISSC) (2011) Review of the sustainable development goals: the science perspective. International Council for Science, Paris
Jones S, Ball A, Ekmekcioglu Ç (2008) The data audit framework: a first step in the data management challenge. Int J Digit Curation 3(2):112–120
Letouzé E (2011) Big data for development: challenges and opportunities. UN Global Pulse, New York
Mårtensson P, Fors U, Wallin SB, Zander U, Nilsson GH (2016) Evaluating research: a multidisciplinary approach to assessing research practice and quality. Res Policy 45(3):593–603
Moyo BD, Sowa T (2015) Constructing a developmental and transformational philanthropy in Africa towards a new regulatory common sense. https://www.africaportal.org/publications/constructing-a-developmental-and-transformational-philanthropy-in-africa-towards-a-new-regulatory-common-sense. Accessed 15 July 2018
Nilsson M, Griggs D, Visbeck M (2016) Policy: map the interactions between Sustainable Development Goals. Nat News 534(7607):320–322
Networking and Information Technology Research and Development Program (2016) The federal big data research and development strategic plan. https://www.nitrd.gov/Publications/PublicationDetail.aspx?pubid=63. Accessed 19 Nov 2017
Rieger Y (2010) Framing digital humanities: the role of new media in humanities scholarship. First monday 15(10). http://firstmonday.org/ojs/index.php/fm/article/view/3198/2628/2628. Accessed 20 Nov 2017
Saunders M (2013) Scientific evidence: what is it and how can we trust it? The conversation. http://www.sbs.com.au/news/article/2013/07/03/comment-scientific-evidence-what-it-and-how-can-we-trust-it. Accessed 20 Nov 2017
Si L, Xing W, Zhuang X, Hua X, Zhou L (2015) Investigation and analysis of research data services in university libraries. Electron Libr 33(3):417–449
Siobhan D (2014) The path to sustainable development includes quality education. Inst Dev Stud, Brighton
Surkis A, Read K (2015) Research data management. J Med Libr Assoc 103(3):154–156
Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, Read E, Manoff M, Frame M (2011) Data sharing by scientists: practices and perceptions. PLoS One 6(6):1–21
United Nations Educational, Scientific and Cultural Organization (UNESCO) (2014) Roadmap for implementing the global action programme on education for sustainable development. UNESCO, Paris
United Nations Development Programme (UNDP) (2016) Sustainable development goals. United Nations Department of Public Information, New York
Whyte A, Tedds J (2011) Making the case for research data management. DCC Briefing Papers. Digital Curation Centre, Edinburgh
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Bitso, C., Makori, E.O., Kapondera, S.K. (2020). Research Data Management and Scientific Evidence: A Strategic Imperative for SDGs. In: Ramutsindela, M., Mickler, D. (eds) Africa and the Sustainable Development Goals. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-030-14857-7_10
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