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

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

"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,...

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Bibliographic Details
Main Author: Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data (author)
Corporate Author: Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data, author (author)
Format: eBook
Language:Inglés
Published: Washington, DC : National Academies Press [2020]
Subjects:
Bioinformatics > History.
Medical informatics > Evaluation.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009622391906719
Table of 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.

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