Policies

Peer review: 

All articles undergo a double-blind peer review process. Therefore, the manuscript and all supplemental material that is subject to a peer-review must be anonymized.

To ensure anonymization, omit all directly identifying information (e.g., names, project identifiers). Whenever possible, references to your own works should stay visible in the text but it must be ensured that the wording does not explicitly link these references to the authors of the manuscript (e.g. rephrase sentences such as “In our previous study (Author Name, 2020), […]”). For a more comprehensive overview see our Submission Preparation Guidelines.

We follow, the ACL anonymity and preprint policy . Submission are anonymous during review, but authors are free to post and discuss non-anonymous preprints at any time, for example on arXiv.org, medRxiv.org or osf.io. Reviewers will be asked if they can guess the author(s) of a manuscript, and associate editors will prioritize reviews by those who are not aware of the author identities. Perhaps needless to say, an anonymous EJDH manuscript cannot refer to a preprint due to anonymity constraints.

Open access, copyright and licensing: Papers are published open access immediately under CC-BY 4.0 licence, which means that your paper may be freely shared and distributed, provided that it is appropriately attributed. This journal is an open access journal which means that all content is freely available without charge to the user or his or her institution. Users are permitted to read, download, copy, distribute, print, search, or link to the full texts of the articles, or to use them for any other lawful purpose, without asking prior permission from the publisher or the author. EJDH does not charge any Author Processing Costs (APCs): authors do not need to pay anything to publish their work. The fully copyright agreement can be found on the submissions page.

Open Science, transparency, replication studies, and pre-registration: EJDH encourages researchers to pre-register studies when possible, and to make their materials and data FAIR: Findable, Accessible, Interoperable, and Reusable. EJDH supports the inclusion of research instruments and data sets upon submission, and can publish these with accepted articles. If authors do not have easy access to GDPR-compliant online data storage options such as DataVerse, the Openjournals environment can provide such storage facilities. EJDH also explicitly invites the submission of replication studies.

Archiving: EJDH is part of openjournals, which makes use of Portico archiving systems and PKP PN to create permanent archives for the purposes of preservation and restoration.

Repository Policy: Authors are permitted to post and distribute all versions of their work in any format, including repositories, with an acknowledgement of its initial publication in this journal.

ORCID ID: Authors are encouraged to use their ORCID ID when submitting their manuscript.

Research Integrity: This journal adheres to the best practices in the ethics of scholarly publishing stated in the COPE’s (Committee on Publication Ethics) Code of Conduct and Best Practice Guidelines for all parties involved: Authors, Reviewers and the Publisher. If you have questions or concerns regarding research integrity or publishing ethics in this journal, you may contact the editors-in-chief.

Inquiries: All inquiries should be directed towards the editor by e-mailing the Editors-in-Chief Emiel Krahmer, Email: e.j.krahmer@tilburguniversity.edu, or Nynke van der Laan, Email: l.n.vdlaan@tilburguniversity.edu

Plagiarism

Plagiarism is not allowed. Submitted articles may be checked with duplication-checking software. It may be checked whether the article has plagiarised other work or included third-party copyright material without permission or with insufficient acknowledgement.

AI policy

Using Large Language Models (LLMs), such as ChatGPT or Claude, for research is becoming increasingly common. While LLMs can be helpful for a range of tasks, ranging from text editing to data analysis, they are also prone to make mistakes (hallucinations, incorrect claims, wrong references). In general, we therefore recommend limited and careful usage of these tools.

We do recognize that LLMs can be helpful for copy-editing: improving human authored text by correcting mistakes and suggesting rephrasings for style or readability. By the same token, the usage of LLMs for coding support can be helpful, especially for more skilled programmers. Other uses, such as co-creation of ideas, summarization of literature, and writing of whole sections are discouraged. Please note that the same rules that apply for authors also hold for reviewers. Finally: LLMs and other AI tools can also be a topic of investigation themselves in a paper. This, naturally, need not additionally be disclosed as AI usage.

In short, the core AI policy of EJDH can be summarized as follows: (1) any usage of LLMs (other than as a topic of study) should be disclosed in the paper. And (2) the authors are always responsible for the originality, correctness and quality of their work.

Please note that the capabilities of LLMs are fast evolving, as are the best practices for research purposes, so we expect to periodically review and update this policy.

Preprint policy

We follow, the ACL anonymity and preprint policy [https://aclrollingreview.org/anonymity/]. Submission are anonymous during review, but authors are free to post and discuss non-anonymous preprints at any time, for example on arXiv.org, medRxiv.org or osf.io. Reviewers will be asked if they can guess the author(s) of a manuscript, and associate editors will prioritize reviews by those who are not aware of the author identities. Perhaps needless to say, an anonymous EJDH manuscript can not refer to a preprint due to anonymity constraints.