Coverart for item
The Resource Planning for long-term use of biomedical data : proceedings of a workshop, Linda Casola, rapporteur ; Board on Mathematical Sciences and Analytics, Committee on Applied and Theoretical Statistics ; Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences ; Board on Life Sciences, Division on Earth and Life Studies ; Board on Research Data and Information, Policy and Global Affairs, The National Academies of Sciences, Engineering, Medicine

Planning for long-term use of biomedical data : proceedings of a workshop, Linda Casola, rapporteur ; Board on Mathematical Sciences and Analytics, Committee on Applied and Theoretical Statistics ; Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences ; Board on Life Sciences, Division on Earth and Life Studies ; Board on Research Data and Information, Policy and Global Affairs, The National Academies of Sciences, Engineering, Medicine

Label
Planning for long-term use of biomedical data : proceedings of a workshop
Title
Planning for long-term use of biomedical data
Title remainder
proceedings of a workshop
Statement of responsibility
Linda Casola, rapporteur ; Board on Mathematical Sciences and Analytics, Committee on Applied and Theoretical Statistics ; Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences ; Board on Life Sciences, Division on Earth and Life Studies ; Board on Research Data and Information, Policy and Global Affairs, The National Academies of Sciences, Engineering, Medicine
Creator
Contributor
Issuing body
Subject
Language
eng
Summary
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
Cataloging source
NLM
http://library.link/vocab/creatorDate
1982-
http://library.link/vocab/creatorName
Casola, Linda Clare
Dewey number
570.285
Funding information
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.
Illustrations
illustrations
Index
no index present
LC call number
QH324.2
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
W 20.5
http://bibfra.me/vocab/relation/rapporteur
u6j0AD46Tm8
http://library.link/vocab/relatedWorkOrContributorName
  • National Academies of Sciences, Engineering, and Medicine (U.S.)
  • National Academies of Sciences, Engineering, and Medicine (U.S.)
  • National Academies of Sciences, Engineering, and Medicine (U.S.)
  • National Academies of Sciences, Engineering, and Medicine (U.S.)
http://library.link/vocab/subjectName
  • Bioinformatics
  • Medical informatics
  • Medicine
  • National Library of Medicine (U.S.)
  • Data Management
  • Biomedical Research
  • Data Science
  • Risk Management
  • United States
  • Bioinformatics
  • Medical informatics
  • Medicine
Label
Planning for long-term use of biomedical data : proceedings of a workshop, Linda Casola, rapporteur ; Board on Mathematical Sciences and Analytics, Committee on Applied and Theoretical Statistics ; Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences ; Board on Life Sciences, Division on Earth and Life Studies ; Board on Research Data and Information, Policy and Global Affairs, The National Academies of Sciences, Engineering, Medicine
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
on1158476392
Dimensions
unknown
Extent
1 online resource (1 PDF file (xiv, 78 pages))
Form of item
online
Isbn
9780309672757
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)1158476392
Label
Planning for long-term use of biomedical data : proceedings of a workshop, Linda Casola, rapporteur ; Board on Mathematical Sciences and Analytics, Committee on Applied and Theoretical Statistics ; Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences ; Board on Life Sciences, Division on Earth and Life Studies ; Board on Research Data and Information, Policy and Global Affairs, The National Academies of Sciences, Engineering, Medicine
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
on1158476392
Dimensions
unknown
Extent
1 online resource (1 PDF file (xiv, 78 pages))
Form of item
online
Isbn
9780309672757
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)1158476392

Library Locations

  • Ellis LibraryBorrow it
    1020 Lowry Street, Columbia, MO, 65201, US
    38.944491 -92.326012
  • Engineering Library & Technology CommonsBorrow it
    W2001 Lafferre Hall, Columbia, MO, 65211, US
    38.946102 -92.330125
  • Fisher Delta Research CenterBorrow it
    2-64 Agricultural Bldg, Columbia, MO, 65201, US
    38.958397 -92.303491
  • Geological Sciences LibraryBorrow it
    201 Geological Sciences, Columbia, MO, 65211, US
    38.947375 -92.329062
  • J. Otto Lottes Health Sciences LibraryBorrow it
    1 Hospital Dr, Columbia, MO, 65201, US
    38.939544 -92.328377
  • Journalism LibraryBorrow it
    102 Reynolds Jrnlism Institute, Columbia, MO, 65211, US
    38.947290 -92.328025
  • Mathematical Sciences LibraryBorrow it
    104 Ellis Library, Columbia, MO, 65201, US
    38.944377 -92.326537
  • University ArchivesBorrow it
    Columbia, MO, 65201, US
  • University Archives McAlester AnnexBorrow it
    703 Lewis Hall, Columbia, MO, 65211, US
    38.934630 -92.342290
  • University of Missouri Libraries DepositoryBorrow it
    2908 Lemone Blvd, Columbia, MO, 65211, US
    38.919360 -92.291620
  • Zalk Veterinary Medical LibraryBorrow it
    Veterinary Medicine West, Columbia, MO, 65211, US
    38.941099 -92.317911
Processing Feedback ...