Data sharing enables others to reuse the results of experiments and supports the creation of new science that is built on previous findings, making the research process more efficient. Data sharing also supports transparency and reproducibility, building trust in science. BEIESP and its journal is playing a key role in supporting researchers who want to store, share, discover and reuse data and we are committed to working with other stakeholders to address challenges in making data more effective.
Although much research data is disseminated as part of journal articles, a host of other data is not made available through article publication. This policy concerns research data that often underlies, but exists outside of research articles. Publishers can help make this hidden data discoverable and our research data policy provides the framework for our support and engagement in this important area. The precise notion of what constitutes research data will differ from field to field but broadly speaking it refers to the result of observations or experimentations that validate research findings and which are not already published as part of a journal article. Research data can include but are not limited to: raw data, processed data, software, algorithms, protocols, methods, materials.