Data · dataset · 2025
Study 4: A Qualitative Study Assessing the Management of Predatory Journals and Their Publishing Activities: Results From the ASGLOS Study
Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/ygtda6
Description
Background
Predatory journals are an emerging problem in scientific literature as they have financial motives, without guaranteeing scientific quality. Therefore, the scientific community needs to establish how this issue can be solved in the long term. Objective To provide information which can be used to action against predatory journals, and to guide future change.
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Methods
A Google Form® survey was designed and disseminated between September 2021 to April 2022. The reflexive thematic analysis was used as qualitative analysis technique in this study, with the assistance of the NVivo software to manage and support the analysis process. Results A total of 978 responses from 58 countries worldwide, achieving a response rate of 19.9%, were analysed.
Five key themes emerged regarding participants’ suggestions on techniques to cope with the detrimental impact of predatory journals. These themes were “Checking”, “Increasing education and awareness”, “Responsibility”, “Use of technology” and “Obstacles to the solution”. Conclusion The outcomes of this study will help us focus and channel efforts in the future to combat predatory journals and aid us in understanding what needs to be done.
We hope that this study will influence management strategies and encourage more education and awareness on a global scale.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FYGTDA6 ↗
landing page · from datasets iisg amsterdam
- Dataverse dataset page portal.odissei.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FYGTDA6 ↗
landing page · from portal odissei nl
- DOI doi.org/10.34894/ygtda6 ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 2
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FYGTD… ↗
metadata API · from datasets iisg amsterdam
- Dataverse API portal.odissei.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FYGTD… ↗
metadata API · from portal odissei nl
Topics
- Stated by source
- Social Sciences · Social Sciences
- From keywords
- Social Science · Social Science
Provenance · 2 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/YGTDA6 | 13 d ago | JSON v1 |
| ODISSEI Portal | doi:10.34894/YGTDA6 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:social-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |