Data, Information, Evidence, and Knowledge: A Proposal for Health Informatics and Data Science
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 context...
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| Vydané v: | Online journal of public health informatics Ročník 10; číslo 3; s. e224 |
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| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
University of Illinois at Chicago Library
05.03.2019
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| Predmet: | |
| ISSN: | 1947-2579, 1947-2579 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | 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. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1947-2579 1947-2579 |
| DOI: | 10.5210/ojphi.v10i3.9631 |