Enhancing Trust in Inter-Organisational Data Sharing: Levels of Assurance for Data Trustworthiness - Literature Body

The attached 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.

附件中的literature-body.html文档收录了本次文献综述最终产出阶段的全部学术文章。本次结构化文献综述严格遵循vom Brocke等（2015）提出的方法开展：首先以非结构化方式探索相关文献，主要借助谷歌学术（Google Scholar）提升对研究主题的熟悉程度；随后开展结构化关键词检索，检索范围覆盖IEEExplore、ACM及ScienceDirect三大数据库，检索式为（"Data" AND（"Trustworthiness" OR "Trustworthy"）），且仅匹配学术文章的标题字段。本次检索于2024年12月执行，共返回318条匹配结果：其中IEEExplore数据库148条、ACM数据库121条、ScienceDirect数据库49条。随后对检索所得文章的标题进行筛查，剔除明确的假阳性结果，最终得到177篇需通过研读摘要开展深入排查的文章。此后，剔除所有与数据可信度的测量、评估、保障或量化无关的文献，以及仅聚焦数据完整性保障却未涉及数据可信度其他维度的匹配结果，最终筛选出47篇专门围绕数据可信度展开研究的文章，涵盖其内涵、定义、保障与验证等方向。基于上述47篇文献集，通过逐篇研读梳理关键参考文献，并借助谷歌学术（Google Scholar）开展针对性的正向与反向追溯检索，最终新增35篇相关文献，其中20篇已纳入前期识别的文献集合。最终本次文献综述的文献集合共计收录62篇学术文章。