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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Online journal of public health informatics Ročník 10; číslo 3; s. e224
Hlavní autor: Dammann, Olaf
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States University of Illinois at Chicago Library 05.03.2019
Témata:
Discussion
Evidence
Data
Information
Knowledge
ISSN:1947-2579, 1947-2579
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
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.
Bibliografie: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