Data sharing enables others to reuse the results from previous experiments and supports the development of new knowledge that is built on previous findings, thereby making the research process more efficient. Data sharing also supports transparency and reproducibility, which are essential ingredients for enhancing trust in science.
The precise notion of what constitutes research data is different from field to field, but broadly speaking it refers to the result of observations or experiments that validate research findings and which are not already published in an article. Although many data are usually already disseminated as part of an article, there are several types of additional data which are not made available through publication. This can include, but is not limited to, raw data, processed data, software, algorithms, protocols, methods, materials, etc. Athena International Publishing endorses the Transparency and Openness Promotion (TOP) Guidelines and encourages Authors to make data underlying the findings in their research easily accessible for reproducibility purposes as outlined in this policy.