Open AccessTowards a model for research data reuse behavior
Author(s) -
Curty Renata Gonçalves,
Qin Jian
Publication year - 2014
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2014.14505101072
Subject(s) - reuse , salient , computer science , exploratory research , knowledge management , unified theory of acceptance and use of technology , foundation (evidence) , scale (ratio) , data science , management science , process management , psychology , political science , business , sociology , artificial intelligence , engineering , social psychology , social science , social influence , physics , quantum mechanics , law , waste management
This poster reports a qualitative exploratory study of data reuse processes, and factors scientists consider when deciding whether or not to reuse data. Findings from this study revealed six core theoretical variables along with 28 influential factors that were salient across interviews and supported by research literature. The synthesis of findings led to the development of a model that draws upon the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate scientists’ intentions and behavior towards the reuse of research data. The proposed model offers a novel approach to the current base of knowledge that has been essentially exploratory and atheoretical in nature. It also serves as the foundation for a future larger scale research that expects to provide guidelines for policymakers, open data advocates, and data repository stakeholders to better attune policies and repositories to scientists’ expectations and needs.