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Life-Cycle Decisions for Biomedical Data

The Challenge of Forecasting Costs

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Washington (DC): National Academies Press (US); .
ISBN-13: 978-0-309-67003-6ISBN-10: 0-309-67003-9

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.

Contents

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.

Suggested citation:

National Academies of Sciences, Engineering, and Medicine. 2020. Life-Cycle Decisions for Biomedical Data: The Challenge of Forecasting Costs. Washington, DC: The National Academies Press. https://doi.org/10.17226/25639.

Digital Object Identifier: https://doi.org/10.17226/25639

Additional copies of this publication are available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu.

Printed in the United States of America

Copyright 2020 by the National Academy of Sciences. All rights reserved.
Bookshelf ID: NBK562707PMID: 33026757DOI: 10.17226/25639

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