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

By: Computer Science and Telecommunications Board and Division on Engineering and Physical Sciences and Policy and Global Affairs and Division on Earth and Life Studies and Board on Life Sciences and Committee on Applied and Theoretical Statistics and National Academies of Sciences, Engineering, and Medicine and Board on Mathematical Sciences and Analytics and Board on Research Data and Information and Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data

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Synopsis: 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.