首页    期刊浏览 2024年09月19日 星期四
登录注册

文章基本信息

  • 标题:Data, Information, Evidence, and Knowledge: A Proposal for Health Informatics and Data Science
  • 本地全文:下载
  • 作者:Olaf Dammann
  • 期刊名称:Online Journal of Public Health Informatics
  • 电子版ISSN:1947-2579
  • 出版年度:2018
  • 卷号:10
  • 期号:3
  • DOI:10.5210/ojphi.v10i3.9631
  • 语种:English
  • 出版社:University of Illinois at Chicago
  • 摘要:In this commentary , I revisit and modify Ackoff’s data-information-knowledge-wisdom (DIKW) hierarchy. I suggest to de-emphasize the wisdom part and to insert evidence between information and knowledge (DIEK). This framework defines data as raw symbols, which become information when they are contextualized. Information achieves the status of evidence in comparison to relevant standards. Evidence is used to test hypotheses and is transformed into knowledge by success and consensus. As checkpoints for the transition from evidence to knowledge I suggest relevance, robustness, repeatability, and reproducibility.
国家哲学社会科学文献中心版权所有