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Data rescue: saving environmental data from extinction.

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Title: Data rescue: saving environmental data from extinction.
Authors: Bledsoe, Ellen K.1,2,3 ebledsoe@arizona.edu, Burant, Joseph B.1,4,5 joseph.burant@mcgill.ca, Higino, Gracielle T.1,6, Roche, Dominique G.1,7, Binning, Sandra A.1,5, Finlay, Kerri1,3, Pither, Jason1,8, Pollock, Laura S.1,4, Sunday, Jennifer M.1,4, Srivastava, Diane S.1,6 srivast@zoology.ubc.ca
Source: Proceedings of the Royal Society B: Biological Sciences. 7/27/2022, Vol. 289 Issue 1979, p1-10. 10p.
Subjects: Metadata, Data libraries, Data management, Historical source material, Archives, Information sharing
Abstract: Historical and long-term environmental datasets are imperative to understanding how natural systems respond to our changing world. Although immensely valuable, these data are at risk of being lost unless actively curated and archived in data repositories. The practice of data rescue, which we define as identifying, preserving, and sharing valuable data and associated metadata at risk of loss, is an important means of ensuring the long-term viability and accessibility of such datasets. Improvements in policies and best practices around data management will hopefully limit future need for data rescue; these changes, however, do not apply retroactively. While rescuing data is not new, the term lacks formal definition, is often conflated with other terms (i.e. data reuse), and lacks general recommendations. Here, we outline seven key guidelines for effective rescue of historically collected and unmanaged datasets. We discuss prioritization of datasets to rescue, forming effective data rescue teams, preparing the data and associated metadata, and archiving and sharing the rescued materials. In an era of rapid environmental change, the best policy solutions will require evidence from both contemporary and historical sources. It is, therefore, imperative that we identify and preserve valuable, at-risk environmental data before they are lost to science. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the Royal Society B: Biological Sciences is the property of Royal Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Historical and long-term environmental datasets are imperative to understanding how natural systems respond to our changing world. Although immensely valuable, these data are at risk of being lost unless actively curated and archived in data repositories. The practice of data rescue, which we define as identifying, preserving, and sharing valuable data and associated metadata at risk of loss, is an important means of ensuring the long-term viability and accessibility of such datasets. Improvements in policies and best practices around data management will hopefully limit future need for data rescue; these changes, however, do not apply retroactively. While rescuing data is not new, the term lacks formal definition, is often conflated with other terms (i.e. data reuse), and lacks general recommendations. Here, we outline seven key guidelines for effective rescue of historically collected and unmanaged datasets. We discuss prioritization of datasets to rescue, forming effective data rescue teams, preparing the data and associated metadata, and archiving and sharing the rescued materials. In an era of rapid environmental change, the best policy solutions will require evidence from both contemporary and historical sources. It is, therefore, imperative that we identify and preserve valuable, at-risk environmental data before they are lost to science. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Proceedings of the Royal Society B: Biological Sciences is the property of Royal Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1098/rspb.2022.0938
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      – SubjectFull: Data libraries
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      – SubjectFull: Historical source material
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      – SubjectFull: Information sharing
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      – TitleFull: Data rescue: saving environmental data from extinction.
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              Text: 7/27/2022
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