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Creating a Research Data Management Service


DOI: 10.2218/ijdc.v8i2.279

Parsons, Thomas. “Creating a Research Data Management Service.” International Journal of Digital Curation 8.2 (2013): n. pag. Web.

p.4: Figure 1 illustrates most common data types in order of popularity, including documents (text), spreadsheets, raw data (from software or specialist equipment), notebooks, databases and slides or specimens. -- Highlighted mar 12, 2014

p.4: The data types raised an interesting divide between digital and non-digital data. The majority of researchers possessed a mixture of both types, with the digital data taking predominance in terms of volume, but the non-digital data raising complex issues of storage and identification that differed per object and type. For example, lab notebooks are widely used across the university and are typically stored in departments under the supervision of the PI. Theoretically, the EPSRC may request access to these and do stipulate that non-digital data should be converted to digital format before sharing. -- Highlighted mar 12, 2014

p.7: As Groenewald and Breytenbach (2011) note, preserved digital objects will only have meaning to others when they are accompanied by descriptive, structural and technical (administrative) metadata -- Highlighted mar 12, 2014