Journal:Risk assessment for scientific data

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Full article title Risk assessment for scientific data
Journal Data Science Journal
Author(s) Mayernik, Matthew S.; Breseman, Kelsey; Downs, Robert R.; Duerr, Ruth; Garretson, Alexis; Hou, Chung-Yi, EDGI and ESIP Data Stewardship Committee[a]
Author affiliation(s) National Center for Atmospheric Research, Environmental Data & Governance Initiative, Columbia University, Ronin Institute for Independent Scholarship, George Mason University
Primary contact Email: mayernik at ucar dot edu
Year published 2020
Volume and issue 19(1)
Article # 10
DOI 10.5334/dsj-2020-010
ISSN 1683-1470
Distribution license Creative Commons Attribution 4.0 International
Website https://datascience.codata.org/articles/10.5334/dsj-2020-010/
Download https://datascience.codata.org/articles/10.5334/dsj-2020-010/galley/944/download/ (PDF)

Abstract

Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data use is a key step in preventing or minimizing data loss. This paper presents an analysis of data risk factors that scientific data collections may face, and a data risk assessment matrix to support data risk assessments to help ameliorate those risks. The goals of this work are to inform and enable effective data risk assessment by: a) individuals and organizations who manage data collections, and b) individuals and organizations who want to help to reduce the risks associated with data preservation and stewardship. The data risk assessment framework presented in this paper provides a platform from which risk assessments can begin, and a reference point for discussions of data stewardship resource allocations and priorities.

Keywords: risk assessment, data preservation, data stewardship, metadata

Introduction

Footnotes

  1. We list EDGI and the ESIP Data Stewardship Committee as authors due to the contributions of many individuals from both organizations to the work described in this paper. The named authors are the individuals involved in each organization who contributed directly to the paper’s text.

References

Notes

This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added. The original article lists references in alphabetical order; however, this version lists them in order of appearance, by design.