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|a 0309670039
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|a 9780309670036
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|a Life-cycle decisions for biomedical data
|h Elektronische Ressource
|b the challenge of forecasting costs
|c Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data, Board on Mathematical Sciences and Analytics, Committee on Applied and Theoretical Statistics, Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences, Board on Life Sciences, Division on Earth and Life Studies, Board on Research Data and Information, Policy and Global Affairs
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| 260 |
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|a Washington, DC
|b The National Academies Press
|c [2020], 2020
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| 300 |
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|a 1 PDF file (xiv, 169 pages)
|b illustrations
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|a Includes bibliographical references
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| 653 |
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|a Data Science / economics
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|a United States
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| 653 |
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|a Forecasting / methods
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| 653 |
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|a Biomedical Research
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|a Data Management / economics
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| 653 |
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|a Data Science / methods
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2 |
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|a National Academies of Sciences, Engineering, and Medicine (U.S.)
|b Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data
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| 710 |
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|a National Academies of Sciences, Engineering, and Medicine (U.S.)
|b Committee on Applied and Theoretical Statistics
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|a eng
|2 ISO 639-2
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| 989 |
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|b NCBI
|a National Center for Biotechnology Information
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|a A consensus study report of the National Academies of Sciences, Engineering, Medicine
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|u http://www.ncbi.nlm.nih.gov/books/NBK562707
|3 Volltext
|n NLM Bookshelf Books
|3 Volltext
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|a 330
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|a Biomedical research results in the collection and storage of increasingly large and complex data sets. Preserving those data so that they are discoverable, accessible, and interpretable accelerates scientific discovery and improves health outcomes, but requires that researchers, data curators, and data archivists consider the long-term disposition of data and the costs of preserving, archiving, and promoting access to them. Life Cycle Decisions for Biomedical Data examines and assesses approaches and considerations for forecasting costs for preserving, archiving, and promoting access to biomedical research data. This report provides a comprehensive conceptual framework for cost-effective decision making that encourages data accessibility and reuse for researchers, data managers, data archivists, data scientists, and institutions that support platforms that enable biomedical research data preservation, discoverability, and use
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