Desirable Characteristics of Data Repositories for Federally Funded Research

Details

• Alternative Title:
  Desirable Characteristics of Data Repositories for Federally Funded Research: Guidance by the Subcommittee on Open Science of the National Science and Technology Council
• Corporate Authors:
  National Science and Technology Council (NSTC) (U.S.). Subcommittee on Open Science (SOS) ; United States. White House. Office of Science and Technology Policy (OSTP)
• Description:
  The NSTC Subcommittee on Open Science (SOS) advances Federal efforts to support open science by increasing access to, and use of, the results of Federally funded research and development, including, scholarly publications and digital data. Among its responsibilities, the SOS aims to coordinate and improve implementation of policies to increase access to the results of Federally funded scientific research and to identify additional steps that Federal departments and agencies can take to enhance the preservation, discoverability, accessibility, quality, and utility of research outputs. This document aims to improve consistency across Federal departments and agencies in the instructions they provide to researchers about selecting repositories for data resulting from Federally funded research. It identifies a set of desirable characteristics of online, public access data repositories to help ensure that research data are findable, accessible, interoperable, and reusable (FAIR) to the greatest extent possible, while integrating privacy, security, and other protections. Individual departments and agencies may use the characteristics to guide development of further instructions for the research communities they support.
  
  This document aims to improve consistency across Federal departments and agencies in the instructions they provide to researchers about selecting repositories for data resulting from Federally funded research. It identifies a set of desirable characteristics of online, public access data repositories to help ensure that research data are findable, accessible, interoperable, and reusable (FAIR) to the greatest extent possible, while integrating privacy, security, and other protections. Individual departments and agencies may use the characteristics to guide development of further instructions for the research communities they support.
  
  This document is a work of the United States Government and is in the public domain (see 17 U.S.C. §105). Subject to the stipulations below, it may be distributed and copied with acknowledgment to OSTP. Copyrights to graphics included in this document are reserved by the original copyright holders or their assignees and are used here under the Government’s license and by permission. Requests to use any images must be made to the providers identified in image credits or to OSTP if no provider is identified. Published in the United States of America, 2022.
  
  
• Subjects:
  Access To Information Archives Data Curation Data Management Information Dissemination Information Storage And Retrieval Metadata Peer Review, Research Publishing Research Science United States Government Agencies

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• Keywords:
  Data Files Data Sharing Digital Object Identifier DOI FAIR Findable, Accessible, Interoperable, And Reusable Government Funding Persistent Identifiers PIDs Public Access Repositories Research And Development

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• DOI:
  https://doi.org/10.5479/10088/113528
• Publisher:
  Executive Office of the President of the United States
• Document Type:
  Text
• Genre:
  Guidance
• Place as Subject:
  United States
• Rights:
  Public Domain
• Pages in Document:
  14 pdf pages
• Contributor:
  Nelson, Alondra ; Koizumi, Kei ; Donohue, Ryan ; Tomkins, Alan ; Sheehan, Jerry ; Lupia, Skip ; Jorgenson, Lyric ; Knezek, Patricia ; Marcum, Christopher Steven ; Antognoli, Erin ; Barbier, Louis ; Biven, Laura ; Cain, Aladsair ; Chelsey, Francis ; Chkhenkeli, Nino ; Christiansen, Leighton L ; Cooke, Michael ; Daniels, Morgan ; Duley, Jason ; Fallon, Karen ; Geisler, Terri ; Given, Jeff ; Halbert, Martin ; Hanish, Robert ; He, Hope Hongzhu ; Keith, Kirk ; Langseth, Madison ; Leeds, Hilary ; Montilla, Alex ; Moulton, Mary E. ; Narang, Akshay ; Norkin, Tamar ; O'Sullivan, Jake ; Paltoo, Dina ; Portalatin-Berrien, Corey ; Rozen, Liza ; Sands, Ashley ; Shaw, Guinevere ; Steeman, Gerald ; Sudsawad, Pimjai ; Swain, Robert ; Thomas, Christopher ; Thompson, Mason ; Wann, Ellen ; Weiss, Nancy ; Williams, Bob ; Zaringhalam, Maryam
• Citation:
  The National Science and Technology Council, Desirable Characteristics of Data Repositories for Federally Funded Research, 2022, DOI: https://doi.org/10.5479/10088/113528
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:6657335716e270738c66ed22a2658a6a5cf4655d10b400ce2727eddbbfaada1bdae6901722b01076b116db43a5b61fff34a3f8ec341d502553390416ba6395d7
• Download URL:
  https://stacks.cdc.gov/view/cdc/253135/cdc_253135_DS1.pdf
• File Type:
  [PDF - 373.06 KB ]