Open Science Policy
The journal "Current Issues of Mass Communication" supports the principles of open science, which include the practices of:
1. Early and open dissemination of research.
2. Management of research results.
3. Ensuring reproducibility of results.
4. Open access to research results.
The editorial board of the journal encourages authors to adhere to ethical principles in the collection and use of data, and to apply proper citation.
The journal implements the principles of open science, adhering to fair review practices, conducting transparent editorial processes, and promoting openness and reproducibility of research results.
Principles of responsible assessment
The editorial practices of the journal "Current Issues of Mass Communication" embody the recommendations and approaches set out in the San Francisco Declaration on Research Assessment (DORA). Therefore, the editorial board adheres to the general DORA recommendation:
- Do not use journal metrics, such as impact factor, as an auxiliary indicator of the quality of individual scientific articles.
The publication applies the following DORA approaches:
1. Presents a system of indicators in the context of various journal metrics (for example, 5-year impact factor, EigenFactor, SCImago, h-index, average time to edit and publish articles, etc.), which allows you to form a more complete picture of the journal.
2. Makes available a number of indicators at the level of an individual article to stimulate the transition to an assessment based on the scientific content of the article, rather than on the bibliometric indicators of the journal in which it is published.
3. Promotes the practice of responsible authorship and providing information about the specific contribution of each author.
4. Has no restrictions on the reuse of references in scientific articles and makes them available in accordance with the terms and conditions of the Creative Commons Public Domain Dedication.
5. Does not require, where appropriate, citing original research instead of review articles to give credit to the group(s) that first presented the results.
6. The journal recognizes and accepts for publication a variety of scientific results, not just articles.
Compliance with FAIR principles
The editorial board of the journal “Current Issues in Mass Communication” believes that all data related to research should be searchable, open, compliant with generally accepted standards, and suitable for reuse (FAIR — Findable, Accessible, Interoperable, Reusable).
We ask authors to store the data underlying their research in appropriate repositories.
We encourage authors to assess research data 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 advises authors to manage research data, in particular to draw up a Data Management Plan according to the models (https://lnu.se/en/medarbetare/researcher/researcher5/Research-data/ , https://dmponline.dcc.ac.uk/ , https://dmptool.org/ ) and adhere to it, in order to avoid data distortion during the research process.
Scientific Data Deposit Policy
Current Issues in Mass Communication encourages open access to scientific data related to publications.
The publication "Current Issues in Mass Communication" requires authors to deposit data related to the research in the institutional repository eKNUTSHIR (https://ir.library.knu.ua/home ), in the KNU community in Zenodo (https://ir.library.knu.ua/entities/publication/7d490eeb-3f9d-476e-bac2-d9561eb7edbe ) or in any other subject or general repository (register of repositories - https://www.re3data.org/ ), since placing datasets in the repository ensures long-term storage and assignment of permanent identifiers (for example, DOI).
References to all published datasets must be included in the article metadata.
The editorial board encourages authors to describe research datasets in accordance with the principles and, where possible, to make them available under open licenses (e.g., CC BY or CC0).
FAIR Principles for Research Data
Modern scientific communication is undergoing a number of technological transformations, driven by the rapid development of computer technology and the global scientific community's commitment to the principles of open science policy. The optimal online presentation of research data, both in terms of data obtained from research and data related to the research process (for example, information about the scientific equipment used or funding information), is an important problem that requires practical, timely solutions and the care of the entire academic community. Today, a growing number of scientific stakeholders agree that key aspects of open science, such as the storage, management and sharing of research data, should comply with the FAIR (Findability, Accessibility, Interoperability, Reusability) guidelines, developed by specialists concerned with the integration of scientific activity data in electronic information systems, in order to make these data accessible, interoperable and allow for legal multiple use and facilitate the search for information on the Internet.
The term FAIR was introduced at the Lorenz Workshop in 2014 and published in 2016.
Findability:
F1. Data (metadata) is permanently assigned a globally unique and persistent identifier.
F2. Data is described by a large amount of metadata.
F3. Data (metadata) is registered or indexed in a resource that is reasonably easy to find.
F4. Metadata specifies the identifier of the data.
Accessibility:
A1. Data (metadata) can be found by their identifier using a standardized communication protocol.
A1.1. The protocol is open, free of charge, and universally implemented.
A1.2. The protocol provides for authentication and authorization procedures where necessary.
A2. Metadata are accessible even when the data is no longer available.
Interoperability:
I1. Data (metadata) uses a formal, accessible, common, and widely used language to represent knowledge.
I2. Data (metadata) uses a lexicon that is consistent with the principles of the VDS.
I3. Data (metadata) includes qualified references to other data (metadata).
Reusability:
R1. Data (metadata) has a large number of accurate and relevant features.
R1.1. Data (metadata) is released with a clear and accessible license for using the data.
R1.2. Data (metadata) is linked to its origin.
R1.3. Data (metadata) complies with community domain standards.
