Adherence to the Principles and Recommendations of COPE, WAME, DORA

Open Science Policy

The journal is committed to internationally recognized standards of publication ethics and best practices in scholarly publishing.

The editorial policy is based on the principles and recommendations of the following international organizations and initiatives:

Committee on Publication Ethics (COPE) — promoting ethical publishing practices and preventing plagiarism, data fabrication, data falsification, and other forms of research misconduct;

World Association of Medical Editors (WAME) — ensuring editorial independence, transparency, and editorial accountability;

San Francisco Declaration on Research Assessment (DORA) — supporting the fair and objective assessment of research outputs without undue reliance on journal-based metrics;

Other internationally recognized standards and recommendations in the field of scholarly publishing.

The journal ensures:

-      an impartial and transparent peer-review process;

-      adherence to the principles of academic integrity throughout all stages of the publication process;

-      prevention of and appropriate responses to breaches of publication ethics in accordance with COPE recommendations;

-      editorial independence and accountability in editorial decision-making;

-      equal treatment of all authors regardless of their institutional affiliation, nationality, gender, or any other personal characteristic.

All participants in the editorial process, including authors, reviewers, and editors, are required to comply with these principles and standards.

Applied Information Systems and Technologies in the Digital Society supports the principles of Open Science, including:

-      Early and open dissemination of research.

-      Responsible management of research outputs.

-      Ensuring the reproducibility of research results.

-      Open access to research outputs.

The Editorial Office encourages authors to adhere to ethical principles in the collection, management, and use of research data and to apply appropriate citation and attribution practices.

The journal implements the principles of Open Science by maintaining fair peer-review practices, ensuring transparent editorial procedures, and promoting the openness, transparency, and reproducibility of scientific research.

Responsible Research Assessment

The editorial practices of Applied Information Systems and Technologies in the Digital Society are aligned with the recommendations and principles set forth in the San Francisco Declaration on Research Assessment (DORA). Accordingly, the Editorial Board follows the central recommendation of DORA by refraining from using journal-based metrics, such as the Journal Impact Factor, as surrogate indicators of the quality of individual research articles.

The journal implements the following DORA principles:

1.     It presents journal performance using a broad range of indicators and metrics, including, where available, the five-year Journal Impact Factor, Eigenfactor, SCImago Journal Rank (SJR), h-index, average editorial processing time, average publication time, and other relevant indicators, thereby providing a more comprehensive evaluation of the journal.

2.     It makes article-level metrics available, where appropriate, to encourage assessment based on the scientific quality and contribution of individual articles rather than on the bibliometric indicators of the journal in which they are published.

3.     It promotes responsible authorship practices by encouraging transparent disclosure of the specific contributions made by each author.

4.     It places no restrictions on the reuse of reference lists and makes them available under the terms of the Creative Commons Public Domain Dedication (CC0) where applicable.

5.     Where appropriate, it encourages authors to cite original research articles rather than review papers in order to give proper credit to the researchers who first reported the findings.

6.     It recognizes and welcomes diverse forms of scholarly outputs in addition to conventional research articles.

Commitment to the FAIR Principles

The Editorial Board of Applied Information Systems and Technologies in the Digital Society believes that all research data associated with published studies should be Findable, Accessible, Interoperable, and Reusable (FAIR).

Authors are therefore requested to preserve the data underlying their research in appropriate, trusted repositories.

The journal encourages authors to evaluate the FAIRness of their datasets using the following tools:

FAIRAware: https://fairaware.dans.knaw.nl/

FAIR Data Self-Assessment Tool: https://ardc.edu.au/resource/fair-data-self-assessment-tool/

The Editorial Board also recommends that authors develop and maintain a Data Management Plan (DMP) throughout the research lifecycle. Authors may use the following resources:

https://lnu.se/en/medarbetare/researcher/researcher5/Research-data/

https://dmponline.dcc.ac.uk/

https://dmptool.org/

The implementation of a Data Management Plan helps ensure research integrity and minimizes the risk of data loss, distortion, or mismanagement during the research process.

Research Data Deposition Policy

Applied Information Systems and Technologies in the Digital Society actively supports open access to research data associated with published articles.

Authors are required to deposit the data underlying their research in the eKNUTSHIR Institutional Repository (https://ir.library.knu.ua/home), the Taras Shevchenko National University of Kyiv community in Zenodo (https://ir.library.knu.ua/entities/publication/7d490eeb-3f9d-476e-bac2-d9561eb7edbe), or another recognized disciplinary or general-purpose repository listed in re3data (https://www.re3data.org/).

Depositing datasets in trusted repositories ensures their long-term preservation and enables the assignment of persistent identifiers, such as Digital Object Identifiers (DOIs).

References to all publicly available datasets must be included in the article metadata and cited appropriately within the manuscript where relevant.

The Editorial Board encourages authors to describe research datasets in accordance with FAIR principles and, whenever possible, to make them openly available under permissive licenses, such as Creative Commons Attribution (CC BY) or Creative Commons CC0 Public Domain Dedication (CC0).