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Life-cycle decisions for biomedical data : the challenge of forecasting costs.

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Format:
Book
Author/Creator:
Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data, author.
Contributor:
National Academies of Sciences, Engineering, and Medicine
Policy and Global Affairs
Division on Earth and Life Studies
Division on Engineering and Physical Sciences
Board on Research Data and Information
Board on Life Sciences
Computer Science and Telecommunications Board
Committee on Applied and Theoretical Statistics
Board on Mathematical Sciences and Analytics
Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data
Series:
Consensus study report
Language:
English
Subjects (All):
Bioinformatics--History.
Bioinformatics.
Medical informatics--Evaluation.
Medical informatics.
Physical Description:
1 online resource (185 pages)
Place of Publication:
Washington, DC : National Academies Press, [2020]
Summary:
"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."-- Publisher's website
Contents:
Summary
Introduction
Framework foundation: data states and associated activities
Cost and the value of data
The cost-forcasting framework: identifying cost drivers in the biomedical data life cycle
Applying the framework to a new state 2 data resource
Applying the framework to a new data set
Potential disruptors to forecasting costs
Fostering the data management environment
Appendixes.
Notes:
Includes bibliographical references.
Description based on print version record.
ISBN:
0-309-67006-3
0-309-67004-7

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