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Life-Cycle Decisions for Biomedical Data: The Challenge of Forecasting Costs

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Life-Cycle Decisions for Biomedical Data

The Challenge of Forecasting Costs(2020)
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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.


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.

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Publication Info

184 pages |8.5 x 11
  • Paperback: 978-0-309-67003-6
  • Ebook: 978-0-309-67006-7



Public Briefing Video

Members of the committee discuss the key findings and conceptual framework presented in the report.

How-To Guide: Cost Driver Template for Biomedical Data

Dr. Maryann Martone walks a user through the cost driver template for forecasting the costs associated with a biomedical information resource.


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