Publication Ethics and Malpractice Statement
A publication ethics and publication malpractice statement
are composed using the Publishing ethics resource kit and in compliance with Elsevier recommendations.

General Statement
The Publishing Ethics and Malpractice Policies of the SGEM WORLD SCIENCE (SWS) Society follow the Principles of Transparency & Best Practice in Scholarly Publishing (by COPE, DOAJ, WAME and OASPA) and NISO Recommended Practices for the Presentation and Identification of e-Journals (PIE-J).
Privacy statement
The personal information used on our websites is to be used exclusively for the stated purposes of SWS Journal. It will not be made available for any other purpose or to any other party. More you could read here (
Open access
SWS Society Journals adhere strictly to gold open access to accelerate the barrier-free dissemination of scientific knowledge in the International Scientific World. All published papers are made freely available to read, download, and distribute immediately upon publication, given that the original source and authors are cited (Creative Commons Attribution License (CC BY 4.0)).
Open data publishing and sharing
SWS Society strictly follow the Panton’s Principles and FAIR Data Principles – “Science is based on building on, reusing and openly criticizing the published body of scientific knowledge. For science to effectively function, and for society to reap the full benefits from scientific endeavors, it is crucial that science data be made open…”.
Data can be published in various ways, such as preservation in data repositories linked to the respective paper or as data files or packages supplementary to the paper. Datasets should be deposited in an appropriate, trusted repository and the associated identifier (URL or DOI) of the dataset(s) must be included in the data resources section of the article. Reference(s) to datasets should also be included in the reference list of the article with DOIs (where available). Where no discipline-specific data repository exists authors should deposit their datasets in a general repository such as, for example Zenodo or others.