Open science publishing platform F1000Research is working in partnership with the International Neuroinformatics Coordinating Facility (INCF) to create a dedicated, digital, open publishing solution for INCF's members and the expanding neuroinformatics community.
The new INCF Community Journal will provide 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.
The journal, which will be launched in August and will be the first of its kind for INCF, will also enable the organisation's congress and workshop attendees to share and publish academic posters and slides in one searchable domain.
Helena Ledmyr, Development Officer, INCF, said: "F1000Research offers us a unique opportunity to provide the neuroinformatics community with a publishing platform designed to make research and its underlying data openly accessible to everyone. The amount of data that can be generated in a typical neuroscience lab is growing at an amazing rate and the neuroinformatics community is working hard to facilitate the integration and sharing of this data in order to advance brain research.
"We believe that having a dedicated space to publish this research will help us meet INCF's goals of advancing understanding of the brain through collaborative research".
Michael Markie, Associate Publisher of F1000Research, said: "Having worked closely with the INCF for several years, it has become apparent that they would benefit from a publication of their own to capture all the exciting research that is coming out of the field. The INCF community has been growing year on year, and so it was the natural move to expand our existing relationship and provide them with the full services of F1000Research's publishing capabilities."
Rebecca Lawrence, Managing Director of F1000Research, said: "We are delighted to be collaborating with the INCF on creating and publishing the INCF Community Journal. F1000 and the INCF have always had closely aligned goals in wanting to find ways to enable the rapid dissemination of all types of research outputs, in particular the sharing of research data. We, therefore, look forward to working together to maximise the benefits we can bring to the neuroinformatics community through this important partnership."
For more information: Andrew Baud, Tala (on behalf of F1000 Research), +44 (0) 20 3397 3383 or +44 (0) 7775 715775
F1000Research is an open science publishing platform for life scientists that offers immediate publication and transparent peer review, avoiding editorial bias and ensuring the inclusion of all source data. This process helps scientists to avoid the traditional, anonymous, pre-publication peer-review process that can cause long delays before new results become visible.
All articles must pass an initial in-house quality check prior to publication on F1000Research. Following open, invited peer review where the referee's name and affiliation and the referee reports are published alongside the article, authors can make revisions that are then published as new article versions.
Since its launch in January 2013, F1000Research has published more than 800 articles across the life sciences, written by more than 2,000 authors. For more details on F1000Research go to http://www.
INCF is an international organization launched in 2005, following a proposal from the Global Science Forum of the OECD to establish international coordination and collaborative informatics infrastructure for neuroscience - and currently has 18 member countries across North America, Europe, Australia and Asia. INCF establishes and operates scientific programs to develop standards for neuroscience data sharing, analysis, modeling and simulation while coordinating an informatics infrastructure designed to enable the integration of neuroscience data and knowledge worldwide and catalyze insights into brain function in health and disease.