stephen m mutula university of kwazulu natal · network security . enormous amount of research data...
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Research Data Management,
Information Society & Digital Divide
Stephen M Mutula
University of KwaZulu Natal
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Research –ICT-Development Nexus
UN General Assembly Resolution 56/183 (21
December 2001) underlined:
‘the urgent need to harness the potential of
knowledge and technology for promoting the
goals of the UN Millennium Declaration and
find effective and innovative ways to put the
potential at the service of development for
all’ - development and poverty eradication,
democracy and governance, and sustainable
development.
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Why Manage Research Data?
Access & accessibility-AL 2 & 3: Access &
accessibility (WSIS AL2 & 3) - Waters
(2008) - 1% access to broadband, results
in 99% opportunity
Return on investment – research drives
economic growth and development. There
is need to provide evidence in order to
convince governments to invest in R&D
Ethics/information ethics – WSIS AL 10:
privacy, trust, confidentiality, integrity &
accuracy, property rights, physical and
network security
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Enormous Amount of Research Data
Production
Microsoft Technet (2012) estimates that the
US generates 30 bn documents each year of
which:
85% are never retrieved
50% are duplicated
60% are obsolete without being used
Moreover for US$1 a company spends to
create a document, US$10 are used to
manage document creation process
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Complexity of Research Process (The Onion
Analogy, Saunders 2006)
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Responsibilities in Research Data
Management
Researchers – to create data
Principal investigators -design research
Support staff -to manage and administer
research
Institutional IT services
Data archives and centres
Open access services
National Archives hold data as public
records.
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CSFs in Managing Research Data
Explicit public policy to reinforce and
ensure research receive adequate
investment from both private and public
sectors for infrastructure development in
the form of laboratories, equipment,
libraries, and curatorial services
Quality and relevance of research output
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Recommendations & Actions
Research Capacity: availability of research
facilities, and availability of trained human
resources capable of doing research
Research Infrastructure: optimisation of
resources available to enhance quality of
research
Research Utility: relevance of the research
outcomes to national development agenda
or priorities
VRE - to help researchers in all disciplines
manage the increasingly complex range of
tasks involved in carrying out research.