Research data sharing: developing a stakeholder-driven model for journal policies

TitleResearch data sharing: developing a stakeholder-driven model for journal policies
Publication TypeJournal Article
Year of Publication2015
AuthorsSturges, P., Bamkin M., Anders J. H. S., Hubbard B., Hussain A., & Heeley M.
JournalJournal of the Association for Information Science and Technology
Date Published2015/04/07/
Keywordsgap_evidence, gap_relationships, sg_data_definition, sg_data_sharing, sg_journals, sg_ps

The conclusions of research articles generally depend on bodies of data that cannot be included inthe articles themselves. The sharing of this data is important for reasons of both transparency and
possible reuse. Science, Technology and Medicine journals have an obvious role in facilitating
sharing, but how they might do that is not yet clear. The Journal Research Data (JoRD) Project was a
JISC (Joint Information Systems Committee) funded feasibility study on the possible shape of a
central service on journal research data policies. The objectives of the study included, amongst other
considerations: to identify the current state of journal data sharing policies and to investigate the
views and practices of stakeholders to data sharing. The project confirmed that a large percentage of
journals do not have a policy on data sharing, and that there are inconsistencies between the
traceable journal data sharing policies. Such a state leaves authors unsure of whether they should
deposit data relating to articles and where and how to share that data. In the absence of a
consolidated infrastructure for the easy sharing of data, a journal data sharing model policy was
developed. The model policy was developed from comparing the quantitative information gathered
from analysing existing journal data policies with qualitative data collected from the stakeholders
concerned. This article summarises the information gathered, outlines the process by which the
model was developed and presents the model journal data sharing policy in full.


Gap Area Study Type:

High-level Gap Areas:

Investigated the state of journal data sharing policies the views and practices of stakeholders to data sharing in order to outline a model journal research data sharing policy
Reviewed the web pages of 371 journals including the most and least cited journals internationally and nationally and extracted categories of policy based on Piwowar and Chapman 2008b definitions of strong and weak policies; conducted 13 interviews with key stakeholders selected on the basis of their expertise in data sharing issues