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Why manage data?

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  • Review the literature focused on research data management, eScience, and data policy to gain an understanding of the importance of managing research data



  • Bailey, Jr., Charles W. “Research Data Curation Bibliography.” Bibliography. Digital Scholarship, June 17, 2013. .

The Research Data Curation Bibliography includes selected English-language articles, books, and technical reports that are useful in understanding the curation of digital research data in academic and other research institutions.

  • Digital Curation Centre (DCC). “Digital Curation Centre | Because Good Research Needs Good Data.” Accessed October 2, 2013. .

The Digital Curation Centre provides expert advice and practical help to anyone in UK higher education and research wanting to store, manage, protect and share digital research data.



  • Digital Curation Centre. Managing Research Data. UK: Piers Video Production, 2012. .

Produced by Piers Video Production, this short documentary, Digital Curation Centre: Managing Research Data, offers a unique insight into the importance of providing access to research data and the risks of not managing data effectively. It also explains how the DCC can help researchers, research support staff and HE institutions by offering guidance, training and tools. For more information please visit

  • Lesk, Michael. Data Curation: Just in Time or Just in Case? New Brunswick, NJ: Rutgers School of Communication and Information, 2011. .

The Immense data collections now being built in many fields are changing the way science happens, which may improve the public's understanding of research and encourage more young people to pursue careers in science, according to Michael Lesk, professor of library and information science and award-winning teacher. Early in his career, Lesk worked on the development of UNIX, the ground-breaking computer code that helped launch the digital age, which is one of the reasons he was elected to the National Academy of Engineering.



  • Borgman, Christine L. Scholarship in the Digital Age: Information, Infrastructure, and the Internet. Cambridge, MA: MIT Press, 2007.

Scholars in all fields now have access to an unprecedented wealth of online information, tools, and services. The Internet lies at the core of an information infrastructure for distributed, data-intensive, and collaborative research. Although much attention has been paid to the new technologies making this possible, from digitized books to sensor networks, it is the underlying social and policy changes that will have the most lasting effect on the scholarly enterprise. In Scholarship in the Digital Age, Christine Borgman explores the technical, social, legal, and economic aspects of the kind of infrastructure that we should be building for scholarly research in the twenty-first century.

  • Hey, Anthony J. G., Stewart Tansley, and Kristin Michele Tolle. The Fourth Paradigm: Data-intensive Scientific Discovery. Redmond, WA: Microsoft Research, 2009.

This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science.

  • Lord, Philip, and Alison Macdonald. e-Science Curation Report. UK: The JISC Committee for the Support of Research, 2003.

The term e-Science – or more inclusively “e-Research” - has been used recently to describe the research culture and opportunities enabled by these developments, and the collaborations of people and of shared resources that are needed to resolve new research challenges, whether in the sciences, social sciences or humanities. e-Science enables a new order of collaborative, more inter-disciplinary research, based on shared research expertise, instruments and computing resources, and crucially increasing access to collections of primary research data and information - the knowledge base of research...There are challenges, however: these same technology changes put the vary data they create and use at risk, and raise serious and complex issues of strategy and policy regarding its creation, management, and long-term care--its curation--for which top-level responsibility urgently needs to be adopted to protect and further UK research.

  • Lynch, Clifford. “Big Data: How Do Your Data Grow?” Nature 455, no. 7209 (September 4, 2008): 28–29. doi:10.1038/455028a.

Scientists need to ensure that their results will be managed for the long haul. Maintaining data takes big organization, says Clifford Lynch.

  • National Academy of Sciences. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age. Washington, DC: The National Academies Press, 2009. .

Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age examines the consequences of the changes affecting research data with respect to three issues - integrity, accessibility, and stewardship-and finds a need for a new approach to the design and the management of research projects. The report recommends that all researchers receive appropriate training in the management of research data, and calls on researchers to make all research data, methods, and other information underlying results publicly accessible in a timely manner. The book also sees the stewardship of research data as a critical long-term task for the research enterprise and its stakeholders. Individual researchers, research institutions, research sponsors, professional societies, and journals involved in scientific, engineering, and medical research will find this book an essential guide to the principles affecting research data in the digital age.

  • Provost’s Task Force on the Stewardship of Digital Research Data. Research Data Stewardship at UNC: Recommendations for Scholarly Practice and Leadership. Chapel Hill, NC: University of North Carolina at Chapel Hill, February 2012. .

In the spring of 2011, the UNC-Chapel Hill Provost formed the Task Force on the Stewardship of Digital Research Data and charged its members with exploring the implications of data management for the University and making recommendations for University policy.  The Task Force investigated the data management landscape through research in the literature, conversations with faculty and staff, and an in-depth faculty survey designed and administered by the Odum Institute.  The resulting report was submitted to administrators in mid-February 2012 with recommendations for university policies and procedures. 

  • Research Information Network. “Stewardship of Digital Research Data: A Framework of Principles and Guidelines,” January 2008. .

In order to produce high-quality research, researchers must have access to as wide a range as possible of the data and information produced by other researchers, as well as relevant information produced by other agencies in the UK and overseas. Similarly, successful dissemination and exploitation of research depends on effective flows of information between researchers and other individuals and organisations that have an interest in its results. A successful research and innovation system thus depends on the open exchange of ideas, information and knowledge.

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