The American Association for the Advancement of Science (AAAS), the non-profit publisher of the Science family of journals, has announced a four-year collaboration with the publisher Bio-protocol, as part of its continued efforts to foster transparency and reproducibility in life science research.
The launch of the agreement between AAAS and Bio-protocol comes amid a growing demand for sharing experimental materials and methods and aims to raise the standards for reproducibility by directly connecting researchers with high-quality, reliable and free access to protocols.
Bio-protocol, an online publisher of both established and novel life science protocols, has built a platform for reviewing, sharing, discussing, and updating protocols tied to research papers published in high-quality research journals.
The collaboration between AAAS and Bio-protocol will offer authors publishing in the Science family journals the option to publish their protocols on the Bio-protocol website, where they will be made freely available. A link to the Bio-protocol website will be included in the Materials and Methods section of all relevant research articles published in the Science family journals.
For Science family journal articles in the biological sciences, authors will be invited to submit a protocol to Bio-protocol and a link will be provided that directs readers to the Bio-protocol site. If the authors have published protocols derived from their Science family journal article on Bio-protocol, the link will direct readers to those protocols.
If a related protocol is not available on the Bio-protocol site, the link will instead take readers to Bio-protocol's ‘Request a protocol’ service webpage. The request for a protocol will then be relayed to the author. Protocols that may be related to the methods in the paper will also be displayed at the link, but it will be clear that these are not provided by the author and do not directly relate to the paper.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
