Reproducibility and Robustness

Our goal is to publish only scientific findings that are trustworthy and that the authors have attained using tried-and-true methods and models. To ensure that there is no error, the author must test the models and methods for generating findings as many times as needed. Data manipulation or the authors' use of unreliable information is unethical and unacceptable.

The author should be prepared to give access to primary data (in accordance with Databases, data sets, and data accessibility – views and practices of scholarly publishers) and to explain how and using which meticulous and detailed accounts of methodologies and analytical procedures, methods and techniques the results were obtained, which are presented in the submitted article.

Additionally, we ask that our authors maintain primary data and calculations for a reasonable amount of time, and if at all possible, post research outputs, including sets or subsets of data used in the preparation of the article, on the open Internet without incurring any costs or being covered by copyright. We wholeheartedly endorse our writers' efforts to share info.

The procedure (algorithm) for obtaining the result must be clearly and unambiguously written out with an indication of all nuances and limitations. This procedure (algorithm) should be such as to enable, if required, another person (skilled sufficiently) to re-conduct experiments, calculations or other actions and obtain the same result. We understand that in some cases or in some branches of knowledge, it is difficult or even impossible to provide reproducibility, but we defer to our authors professionalism and their well-reasoned approach to the issue.