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- Title
More Data, Less Process? The Applicability of MPLP to Research Data.
- Authors
Hess, Sophia Lafferty; Christian, Thu-Mai
- Abstract
In their seminal piece, "More Product, Less Process: Revamping Traditional Archival Processing," Greene and Meissner (2005) ask archivists to reconsider the amount of processing devoted to collections and instead commit to the More Product, Less Process (MPLP) 'golden minimum.' However, the article does not specifically consider the application of the MPLP approach to digital data. Data repositories often apply standardized workflows and procedures when ingesting data to ensure that the data are discoverable, accessible, and usable over the long-term; however, such pipeline processes can be time consuming and costly. In this paper, we will apply the principles and concepts outlined in MPLP to the archiving of digital research data. MPLP provides a useful lens to discuss questions related to data quality, usability, preservation, and access: What is the 'golden minimum' for archiving digital data? What unique properties of data affect the ideal level of processing? What level of processing is necessary to serve our patrons most effectively? These queries will contribute to the discussion surrounding how data repositories can develop sustainable service models that support the increasing data management needs of the research community while also ensuring data remain discoverable and useable for the long-term.
- Subjects
DATA curation; DATA quality; ARCHIVAL processing
- Publication
IASSIST Quarterly, 2016, Vol 40, Issue 4, p6
- ISSN
0739-1137
- Publication type
Article