Open data: The researcher perspective
The Open Data report is a result of a year-long, co-conducted study between Elsevier and the Centre for Science and Technology Studies (CWTS), part of Leiden University, the Netherlands. The study is based on a complementary methods approach consisting of a quantitative analysis of bibliometric and publication data, a global survey of 1,200 researchers and three case studies including in-depth interviews with key individuals involved in data collection, analysis and deposition in the fields of soil science, human genetics and digital humanities.
73% of academics surveyed said that having access to published research data would benefit their own research
64% are willing to allow others to access their research data
69% of survey respondents said sharing research data is important for doing research in their field
34% of researchers surveyed do not publish their data at all; one third of survey respondents did not share data from their last project
There is an almost even split between researchers who believe there are no clear standards for citing published data (45%) and those who believe there are clear standards (41%)
52% of respondents said that their institution does not provide funds to cover the costs of managing or archiving research data
Analysis of data publishing options revealed that dedicated data journals are minimally available – but fast-growing
Survey open data
The underlying data for the three parallel, independent studies are open and publicly available for all from Mendeley Data which includes:
Quantitative analysis of bibliometric data
Global researcher survey
Case studies in fields of soil science, human genetics, and digital humanities
The ambition of the Centre for Science and Technology Studies (CWTS)(opens in new tab/window) is to be a globally leading centre in science and technology studies with an emphasis on research evaluation, research management and science policy. CWTS aims to be unique not only in its diversity of theoretical approaches (e.g. citation and communication theories, neo-institutional theory, actor network theory) and methodological approaches (e.g. scientometrics, computer simulation, surveys, interviews, ethnography) but especially in the way these different approaches are combined and integrated.