Exploring digital preservation requirements: a case study from the National Geoscience Data Centre (NGDC)

Pinnick, Jaana. 2017 Exploring digital preservation requirements: a case study from the National Geoscience Data Centre (NGDC). Records Management Journal, 27 (2). 28, pp. https://doi.org/10.1108/RMJ-04-2017-0009

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Official URL: https://doi.org/10.1108/RMJ-04-2017-0009

Abstract/Summary

Purpose This case study is based on an MSc dissertation research undertaken at Northumbria University. The aim was to explore digital preservation requirements within the wider NGDC organisational framework in preparation for developing a preservation policy and integrating associated preservation workflows throughout the existing research data management processes. Design/methodology/approach This mixed methods case study used quantitative and qualitative data to explore the preservation requirements and triangulation to strengthen the design validity. Corporate and the wider scientific priorities were identified through literature and a stakeholder survey. Organisational preparedness was investigated through staff interviews. Findings Stakeholders expect data to be reliable, reusable, and available in preferred formats. To ensure digital continuity, the creation of high quality metadata is critical, and data depositors need data management training to achieve this. Recommendations include completing a risk assessment, creating a digital asset register, and a technology watch to mitigate against risks. Research limitations/implications The main constraint in this study is the lack of generalisability of results. As the NGDC is a unique organisation, it may not be possible to generalise the organisational findings although those relating to research data management may be transferrable. Originality/value This research examines the specific nature of geoscience data retention requirements and looks at existing NGDC procedures in terms of enhancing digital continuity, providing new knowledge on the preservation requirements for a number of national datasets.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1108/RMJ-04-2017-0009
ISSN:	0956-5698
Date made live:	29 Jun 2017 14:34 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/517250

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1108/RMJ-04-2017-0009

ISSN:

0956-5698

Date made live:

29 Jun 2017 14:34 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/517250