首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:What Not to Keep: Not All Data Has Future Research Value
  • 本地全文:下载
  • 作者:Janice Yu Chen Kung ; Sandy Campbell
  • 期刊名称:Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada
  • 印刷版ISSN:1708-6892
  • 出版年度:2016
  • 卷号:37
  • 期号:2
  • DOI:10.5596/c16-013
  • 语种:English
  • 出版社:Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada
  • 摘要:The rise of academic library involvement in research data management has presented numerous challenges for academic libraries. While libraries and archives have always had collection development policies that defined what they would or would not collect, policies for selecting research data for preservation are in their infancy. This study surveyed and interviewed academic researchers. From this research an initial list of eight types of data were identified as research data that should not be preserved and made public by academic libraries and archives. These include research data that are sensitive or confidential, proprietary, easily replicable, do not have good metadata, are test, pilot or intermediate data, are bad or junk data, data that cannot be used by others for a variety of reasons, and older data that are not used and have no obvious cultural or historical value. Conclusions drawn from the study will help librarians and archivists make informed decisions about which types of research data are worth keeping.
  • 其他摘要:The rise of academic library involvement in research data management has presented numerous challenges for academic libraries. While libraries and archives have always had collection development policies that defined what they would or would not collect, policies for selecting research data for preservation are in their infancy. This study surveyed and interviewed academic researchers. From this research an initial list of eight types of data were identified as research data that should not be preserved and made public by academic libraries and archives. These include research data that are sensitive or confidential, proprietary, easily replicable, do not have good metadata, are test, pilot or intermediate data, are bad or junk data, data that cannot be used by others for a variety of reasons, and older data that are not used and have no obvious cultural or historical value. Conclusions drawn from the study will help librarians and archivists make informed decisions about which types of research data are worth keeping.
  • 关键词:health data;research data management;data curation;data preservation
国家哲学社会科学文献中心版权所有