The Neuroscience Peer Review Consortium (NPRC), to help cut down on publication times and reviewer load; a Neuroinformatics channel on F1000 to provide an affordable, open publishing option with transparent review; and Research Resource IDs to enable clear identification of scientific tools and experimental components.
The Neuroscience Peer Review Consortium (NPRC) is a cross-publisher alliance of over 60 journals that share manuscript reviews with other NPRC members at the author’s request. NPRC aims to reduce the time and effort involved in peer review and publication of neuroscience research. Learn more
INCF has a community gateway on the F1000 platform, which provides an affordable, open publishing channel to capture research from the INCF Neuroinformatics Congress and workshops, plus research articles from the neuroinformatics field. Articles will be published using F1000Research’s immediate publication and transparent peer review model, without limitation on article size, type, or perceived impact. Learn more
The Resource Identification Initiative enables resource transparency within the biomedical literature through promoting the use of unique Research Resource Identifiers (RRIDs). In addition to being unique, RRIDs meet three key criteria, they are: machine readable, free to generate and access, and consistent across publishers and journals. Learn more
Why digital scholarship?
“An article about a computational result is advertising, not scholarship. The actual scholarship is the full software environment, code, and data that produce the result” - Claerbout and Karrenbach, Proceedings of the 62nd Annual International Meeting of the Society of Exploration Geophysics, 1992
FAIR data principles aim to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows
Scientific Paper of the Future Initiative is an initiative to encourage geoscientists, although applicable to neuroscientists, to publish papers together with the following associated digital products of their research:
Data requirements: Making data available in a public repository, including documented metadata, a clear license specifying conditions of use, and citable using a unique and persistent identifier
Software requirements: Making software available in a public repository, with documentation, a license for reuse, and a unique and citable persistent identifier. This includes not only modeling software, but also other ancillary software for data reformatting, data conversions, data filtering, and data visualization
Provenance requirements: Documenting the provenance of results by explicitly describing the series of computations and their outcome in a workflow sketch, a formal workflow, or a provenance record, possibly in a shared repository and with a unique and persistent identifier