Towards Levels of Assurance for Data Trustworthiness - A Novel Framework to Promote Trust in Inter-Organisational Data Sharing - Literature Body
收藏NIAID Data Ecosystem2026-05-02 收录
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The attached annotated_literature_body.html file includes all articles which were respected as a resulting final step in the literature review. The structured literature review was conducted following vom Brocke et al. 2015.
Therefore, it started with an unstructured exploration of relevant literature, mainly using Google Scholar, in order to increase the familiarity with the subject. Then, a structured keyword search in the IEEExplore, ACM, and ScienceDirect databases was performed. The search term used was (”Data” AND (”Trustworthiness” OR ”Trustworthy”)), matching titles in research articles only.
The search was executed in December 2024 and returned 318 matches. 148 of these came from IEEExplore, 121 from ACM and 49 from Science Direct. Then, the resulting articles’ titles were screenlined and unequivocal false positives were removed, which resulted in 177 articles that were more thoroughly investigated by reading their abstracts.
Then articles that were not related to measuring, evaluating, assuring or quantifying the trustworthiness of data, and matches that were exclusively focused on securing the integrity of data but did not address any other dimensions of data trustworthiness were excluded. This resulted in a total of 47 articles specifically concerned with data trustworthiness, its purpose, definition, and ensuring and assuring trust.
Using this collection, a backward and forward search was conducted by thoroughly reading each article, looking for key references, and using Google Scholar to execute a targeted forward search. Doing this resulted in additional 35 articles, 20 of which were already part of the set of identified literature. Thus, the literature body ended up to comprise a total of 62 articles.
The literature body was then analysed and labelled in regards to their artifact type, and mentioned motivations, objectives, and acknowledged data trustworthiness dimensions.
创建时间:
2025-03-16



