Examination of Federal Data Management Plan Guidelines

Thoegersen, Jennifer L.

doi:10.7191/jeslib.2015.1072

Cited by 9 publications

(6 citation statements)

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“…Data Management Plans (DMP) are documents created to provide essential information on how data is administrated from raw collection to a final archived format. Formal DMPs are increasingly becoming required for federal and private competitive grants (Thoegersen 2015). DMPs are typically brief documents (a couple of pages) that describe the data life-cycle from data collection to storage, QA/QC procedures, where it will be archived, and steps for sharing (Michener 2015).…”

Section: Data Management Plansmentioning

confidence: 99%

An Open Data Framework for the San Francisco Estuary

Baerwald¹,

Davis²,

Lesmeister³

et al. 2020

SFEWS

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Section: Data Management Plansmentioning

confidence: 99%

An Open Data Framework for the San Francisco Estuary

Baerwald¹,

Davis²,

Lesmeister³

et al. 2020

SFEWS

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“…1). These decisions correspond to the information that is traditionally covered in a research data management plan (DMP) (Thoegersen, 2015). Documentation on data handling decisions, either as a DMP or through policy, is the vehicle for promoting the transparency advocated for in the NISO principle.…”

Section: Transparency and Facilitating Privacy Awarenessmentioning

confidence: 99%

Data Management Practices in Academic Library Learning Analytics: A Critical Review

Briney

2019

Journal of Librarianship and Scholarly Communication

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INTRODUCTION Data handling in library learning analytics plays a pivotal role in protecting patron privacy, yet the landscape of data management by librarians is poorly understood. METHODS This critical review examines data-handling practices from 54 learning analytics studies in academic libraries and compares them against the NISO Consensus Principles on User's Digital Privacy in Library, Publisher, and Software-Provider Systems and data management best practices. RESULTS A number of the published research projects demonstrate inadequate data protection practices including incomplete anonymization, prolonged data retention, collection of a broad scope of sensitive information, lack of informed consent, and sharing of patron-identified information. DISCUSSION As with researchers more generally, libraries should improve their data management practices. No studies aligned with the NISO Principles in all evaluated areas, but several studies provide specific exemplars of good practice. CONCLUSION Libraries can better protect patron privacy by improving data management practices in learning analytics research.

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“…One possible explanation for the prevalence of these types of services is that many funder data policies are general or ambiguous, which presents an opportunity for those with expertise in data management to provide guidance . The lack of clarity around DMP requirements and related policies is further exacerbated by the amount of variation, in terms of both expected content and format, across an increasing number of federal agencies (Thoegersen 2015).…”

Section: Literature Reviewmentioning

confidence: 99%