Data sharing and reuse practices: disciplinary differences and improvements needed

Abstract

PurposeThis study investigates differences and commonalities in data production, sharing and reuse across the widest range of disciplines yet and identifies types of improvements needed to promote data sharing and reuse.Design/methodology/approachThe first authors of randomly selected publications from 2018 to 2019 in 20 Scopus disciplines were surveyed for their beliefs and experiences about data sharing and reuse.FindingsFrom the 3,257 survey responses, data sharing and reuse are still increasing but not ubiquitous in any subject area and are more common among experienced researchers. Researchers with previous data reuse experience were more likely to share data than others. Types of data produced and systematic online data sharing varied substantially between subject areas. Although the use of institutional and journal-supported repositories for sharing data is increasing, personal websites are still frequently used. Combining multiple existing datasets to answer new research questions was the most common use. Proper documentation, openness and information on the usability of data continue to be important when searching for existing datasets. However, researchers in most disciplines struggled to find datasets to reuse. Researchers' feedback suggested 23 recommendations to promote data sharing and reuse, including improved data access and usability, formal data citations, new search features and cultural and policy-related disciplinary changes to increase awareness and acceptance.Originality/valueThis study is the first to explore data sharing and reuse practices across the full range of academic discipline types. It expands and updates previous data sharing surveys and suggests new areas of improvement in terms of policy, guidance and training programs.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2021-0423.

Factors Influencing Open Science Participation Through Research Data Sharing and Reuse Among Researchers: A Systematic Literature Review

“…If researchers perceive that sharing their data is a norm valued by their peers, they are more likely to participate in open science initiatives. Conversely, the transition to open science can be more challenging if the prevailing culture doesn't prioritise transparency or if there's a perceived norm against data sharing [47]. Several studies from the review that have also indicated culture and perceived norms as factors motivating open science practice through research data sharing and reuse are presented in Table 6 below.…”

Factors Influencing Open Science Participation Through Research Data Sharing and Reuse Among Researchers: a Systematic Literature Review

“…If researchers perceive that sharing their data is a norm valued by their peers, they are more likely to participate in open science initiatives. Conversely, the transition to open science can be more challenging if the prevailing culture doesn't prioritize transparency or if there's a perceived norm against data sharing (Khan et al, 2023). Several studies from the review that have also indicated culture and perceived norms as factors motivating open science practice through research data sharing and reuse are presented in Table 2.6 below.…”

Current status and future challenges of genotoxicity OECD Test Guidelines for nanomaterials: a workshop report

“…For example, the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles provide a framework for ensuring that data are shared in a way i.e. easily discoverable, accessible, and reusable [ 52 , 53 ]. To support this initiative, data reporting templates are being established with a purpose of setting common standards and practices for data sharing and description , so researchers can promote more efficient and effective data sharing and reuse across different domains and disciplines.…”