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Digital Curation Centre
(2014). Five steps to decide what data to keep: a checklist for appraising research data v.1.
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A guide written by the DCC |
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Metrics, Targeted |
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Gutmann, M., Schürer K.., Donakowski D., & Beedham H.
(2004). The Selection, Appraisal, and Retention of Digital Social Science Data.
Data Science Journal. 3, 209 - 221. |
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Metrics, Targeted |
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Harvey, R.
(2008). Appraisal and Selection.
Briefing Papers: Introduction to Curation. |
Describes selection and appraisal criteria for scientific data and records |
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Metrics, Targeted |
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Turner, V., Reinsel D., Gantz J. F., & Minton S.
(2014). The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things.
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Investigated size and rate of expansion of the digital universe worldwide in 2013; investigated business opportunities to use data in new ways and extract value from the digital universe |
Analyzed 60 streams of data comprising the digital universe (11 streams were added to the 49 in the 2007 study); analyzed ways in particular that the Internet of Things is creating business opportunities; developed 5 criteria to identify “target rich” or valuable data in the digital universe; identified information technology prerequisites to being able to take advantage of the value of data; identified business steps enterprises must take to leverage data value |
Measurement, Metrics, Targeted |
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Beagrie, N., & Houghton J.
(2012). Economic Impact Evaluation of the Economic and Social Data Service.
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Sought to (i) evaluate the economic benefits and impact of ESDS; and (ii) contribute to the further development of impact evaluation methods that can provide ESRC with robust estimates of the economic benefits of its data service infrastructure investments |
Conducted (i) desk-based analysis of existing evaluation literature and reports, looking at both methods and findings; (ii) existing data from KRDS and other studies; (iii) existing management and internal data collected by ESRC and ESDS such as user statistics, internal reports, and the ESDS Mid-Term Review; and (iv) original data collection in the form of semi-structured interviews, case studies, and an online survey of ESDS users and depositors |
Measurement, Metrics, Targeted |
