| Description |
1 online resource (1 PDF file (xiv, 78 pages)) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references. |
| Summary |
Biomedical research data sets are becoming larger and more complex, and computing capabilities are expanding to enable transformative scientific results. The National Institutes of Health's (NIH's) National Library of Medicine (NLM) has the unique role of ensuring that biomedical research data are findable, accessible, interoperable, and reusable in an ethical manner. Tools that forecast the costs of long-term data preservation could be useful as the cost to curate and manage these data in meaningful ways continues to increase, as could stewardship to assess and maintain data that have future value. The National Academies of Sciences, Engineering, and Medicine convened a workshop on July 11-12, 2019 to gather insight and information in order to develop and demonstrate a framework for forecasting long-term costs for preserving, archiving, and accessing biomedical data. Presenters and attendees discussed tools and practices that NLM could use to help researchers and funders better integrate risk management practices and considerations into data preservation, archiving, and accessing decisions; methods to encourage NIH-funded researchers to consider, update, and track lifetime data; and burdens on the academic researchers and industry staff to implement these tools, methods, and practices. This publication summarizes the presentations and discussion of the workshop. |
| Funding |
This activity was supported by Contract No. HHSN26300002 with the National Institutes of Health. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
National Library of Medicine (U.S.)
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National Library of Medicine (U.S.) |
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Bioinformatics.
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Bioinformatics. |
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Medical informatics.
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Medical informatics. |
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Medicine -- Data processing.
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Medicine -- Data processing. |
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United States. |
| Genre/Form |
Electronic books.
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Congress.
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Conference papers and proceedings.
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Conference papers and proceedings.
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| Added Author |
National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics, issuing body.
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National Academies of Sciences, Engineering, and Medicine (U.S.). Computer Science and Telecommunications Board, issuing body.
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National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Life Sciences, issuing body.
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National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Research Data and Information, issuing body.
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| Other Form: |
Print version: 0309672759 9780309672757 (OCoLC)1149309388 |
| ISBN |
9780309672757 |
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0309672759 |
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9780309672764 (electronic book) |
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0309672767 (electronic book) |
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9780309672788 (electronic book) |
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0309672783 (electronic book) |
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