It takes the average reader 1 hour and 34 minutes to read Planning for Long-Term Use of Biomedical Data by National Academies of Sciences, Engineering, and Medicine
Assuming a reading speed of 250 words per minute. Learn more
Biomedical research data sets are becoming larger and more complex, and computing capabilities are expanding to enable transformative scientific results. The National Institutes of Health's (NIH's) National Library of Medicine (NLM) has the unique role of ensuring that biomedical research data are findable, accessible, interoperable, and reusable in an ethical manner. Tools that forecast the costs of long-term data preservation could be useful as the cost to curate and manage these data in meaningful ways continues to increase, as could stewardship to assess and maintain data that have future value. The National Academies of Sciences, Engineering, and Medicine convened a workshop on July 11-12, 2019 to gather insight and information in order to develop and demonstrate a framework for forecasting long-term costs for preserving, archiving, and accessing biomedical data. Presenters and attendees discussed tools and practices that NLM could use to help researchers and funders better integrate risk management practices and considerations into data preservation, archiving, and accessing decisions; methods to encourage NIH-funded researchers to consider, update, and track lifetime data; and burdens on the academic researchers and industry staff to implement these tools, methods, and practices. This publication summarizes the presentations and discussion of the workshop.
Planning for Long-Term Use of Biomedical Data by National Academies of Sciences, Engineering, and Medicine is 93 pages long, and a total of 23,529 words.
This makes it 31% the length of the average book. It also has 29% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 8 minutes to read Planning for Long-Term Use of Biomedical Data aloud.
Planning for Long-Term Use of Biomedical Data is suitable for students ages 10 and up.
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