Journal research data sharing policies
A study of highly-cited journals in neuroscience, physics, and operations research
Bibliographic Data
| ID | 21442111 |
|---|---|
| Authors | Antti M Rousi (0000-0002-4184-7035, Aalto University, corresponding author), Mikael Laakso (0000-0003-3951-7990, Hanken School of Economics) |
| Year | 2020 |
| Volume | 124 |
| Issue | 1 |
| Pages | 131-152 |
| Publication date | 2020-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-020-03467-9 |
| OpenAlex | W3014747445 |
| Language | EN |
| Citations received | 3 |
| References cited | 23 |
The practices for if and how scholarly journals instruct research data for published research to be shared is an area where a lot of changes have been happening as science policy moves towards facilitating open science, and subject-specific repositories and practices are established. This study provides an analysis of the research data sharing policies of highly-cited journals in the fields of neuroscience, physics, and operations research as of May 2019. For these 120 journals, 40 journals per subject category, a unified policy coding framework was developed to capture the most central elements of each policy, i.e. what, when, and where research data is instructed to be shared. The results affirm that considerable differences between research fields remain when it comes to policy existence, strength, and specificity. The findings revealed that one of the most important factors influencing the dimensions of what, where and when of research data policies was whether the journal’s scope included specific data types related to life sciences which have established methods of sharing through community-endorsed public repositories. The findings surface the future research potential of approaching policy analysis on the publisher-level as well as on the journal-level. The collected data and coding framework is provided as open data to facilitate future research and journal policy monitoring
Coding (social sciences) · Data science · Data sharing · Library science · Open data · Open Science · Political science · Public relations · Research Policy · Science policy · Scope (computer science) · Social science · Sociology · Subject (documents) · World Wide Web · Computer Science · Data Quality and Management · Public Administration · Research Data Management Practices · Scientific Computing and Data Management
| Unique citing works | 3 |
|---|---|
| Citations per year | 1.5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |