Researcher perspectives on publication and peer review of data
Kratz, John; Strasser, Carly (2014), Researcher perspectives on publication and peer review of data, UC Office of the President, Dataset, https://doi.org/10.5060/D8RP4V
The survey contained 34 questions in three categories: demographics, data sharing interest and experience, and data publication perceptions. Demographic questions collected information on respondent's country, type of institution, research role, and discipline. Questions to assess respondent's existing knowledge of data sharing and publication focused on knowledge of several relevant US governmental policies and an invitation to name data journals. Data publication perceptions consisted of ``mark all that apply'' questions concerning definitions of data publication and peer review and Likert scale questions about the value of various possible features of a data publication. The number of required questions was kept to a minimum. Some questions were displayed dynamically based on previous answers. Consequently, n varies considerably from question to question.
The survey was administered as a Google Form, officially open from January 22 to February 28 of 2014; two late responses received in March were included in the analysis. Solicitations were distributed via social media (Twitter, Facebook, Google+), emails to listservs, and a blog post on Data Pub.
Although the topic of the survey is benign and identification would be unlikely to negatively impact respondents, light anonymization was performed prior to release of the response data. UC affiliation and answers to UC-specific questions were redacted. Respondent locations were grouped into United States and ``other;'' this distinction was preserved only because some questions asked about US government policies. Sub-disciplines with fewer than three respondents were re-coded with the corresponding discipline. Listed data journal names were standardized manually, and free text answers to other questions were replaced with ``other.''
- This dataset is supplement to https://doi.org/10.1371/journal.pone.0117619