The Boilerplate Problem in Data Management Plans

Keralis, Spencer D.C.; Grumbach, Elizabeth; Potvin, Sarah

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https://hdl.handle.net/2142/105513 Copy

Description

Title

The Boilerplate Problem in Data Management Plans

Author(s)

• Keralis, Spencer D.C.
• Grumbach, Elizabeth
• Potvin, Sarah

Issue Date

2019-10-21

Keyword(s)

• data management, labor ethics, data infrastructure, research data life cycle, sustainability
• data management
• labor ethics
• data infrastructure
• research data life cycle
• sustainability

Geographic Coverage

United States

Abstract

While reviewing Data Management Plans from successful NEH-ODH, the Linked Open Futures project team (https://linkedopenfutures.net/) discovered significant problems in the way investigators were using the language of linked and open data interchangeably with open access, open source, and other terminology. These errors are exacerbated by boilerplate language describing digital libraries' data repositories, which render the data management plans illegible, incoherent, and virtually meaningless in terms of understanding what data will be preserved, and whether or not it will be publicly accessible. Boilerplate language often describes the digital library as a whole, rather than specifically addressing the preservation and access of research data; in some cases we’ve found the language appears to be simply copy/pasted from the About page of the digital library. Some of this may be related to the use of the DMPTool, which facilitates the use of boilerplate in lieu of compelling investigators to systematically address questions of data preservation and access in their project proposals, which is arguably the point of data management plan mandates. While our research is focused on digital humanities projects, it is likely that the use of boilerplate in DMPs is widespread across agencies requiring this information as part of grant applications. In this editorial, we will offer recommendations for librarians supporting the development of data management plans to help develop standardized language that is specific to research data, and that does not obscure the investigators’ actual plans to preserve and make open their research data.

Publisher

Association of College and Research Libraries Digital Scholarship Section (ACRL DSS)

Type of Resource

text

Language

en

Permalink

• https://researchdataq.org/editorials/the-boilerplate-problem-in-data-management-plans/
• http://hdl.handle.net/2142/105513

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CC-BY-NC-SA

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