Open AccessFacilitating Access to Restricted Data
Author(s) -
Allison R. B. Tyler
Publication year - 2020
Publication title -
international journal of digital curation
Language(s) - English
Resource type - Journals
ISSN - 1746-8256
DOI - 10.2218/ijdc.v15i1.602
Subject(s) - reputation , goodwill , computer science , computational trust , data access , process (computing) , internet privacy , data sharing , competence (human resources) , world wide web , knowledge management , business , database , psychology , political science , medicine , social psychology , alternative medicine , finance , pathology , law , operating system
The decision to allow users access to restricted and protected data is based on the development of trust in the user by data repositories. In this article, I propose a model of the process of trust development at restricted data repositories, a model which emphasizes the increasing levels of trust dependent on prior interactions between repositories and users. I find that repositories develop trust in their users through the interactions of four dimensions – promissory, experience, competence, and goodwill – that consider distinct types of researcher expertise and the role of a researcher’s reputation in the trust process. However, the processes used by repositories to determine a level of trust corresponding to data access are inconsistent and do not support the sharing of trusted users between repositories to maximize efficient yet secure access to restricted research data. I highlight the role of a researcher’s reputation as an important factor in trust development and trust transference, and discuss the implications of modelling the restricted data access process as a process of trust development.