Open Access

Immediate & Transparent Publishing

F1000Research is an Open Science publishing platform offering immediate publication of articles, posters and slides with no editorial bias. All articles benefit from transparent peer review and the inclusion of all source data.

Ebola Virus Particles by NIAID, used under CC BY. Desaturated from original.

Why Publish on ?


Immediate Publication
The traditional anonymous pre-publication peer review of research articles can cause long delays before new results become visible. F1000Research uses an author-led process, publishing all scientific research within a few days. Open, invited peer review of articles is conducted after publication, focusing on scientific soundness rather than novelty or impact.
To see a paper in 5 days, in a professional layout, is quite astounding. Two useful referee reports appeared in less than two weeks, supporting the notion that peer review can be done openly.
Jurgen Schnermann, NIDDK/NIH Bethesda, USA
Why fast publication is important// 63 sec

Why transparency is essential// 62 sec
Transparent Refereeing
of Articles
Open peer review of articles removes the secrecy and anonymity that can bias the way scientists critique each others’ work. In F1000Research, signed referee reviews and author responses are published alongside each article. Authors can publish revised versions of their articles at no extra cost. All articles that pass peer review are indexed in PubMed.

Transparent Refereeing of Articles
Open peer review of articles removes the secrecy and anonymity that can bias the way scientists critique each others’ work. In F1000Research, signed referee reviews and author responses are published alongside each article. Authors can publish revised versions of their articles at no extra cost. All articles that pass peer review are indexed in PubMed.
Why transparency is essential// 62 sec

No Editorial Bias
Much valid science remains unpublished, wasting the investment of the researchers’ time and funding, and biasing the scientific record. F1000Research encourages the publication of all findings, including null/negative results, small findings, case reports, data notes and observation articles.
Why all findings should be published// 53 sec

Why data should be available// 75 sec
Data Included
Access to the data underlying new findings is crucial to enable reanalysis, replication attempts and data reuse. All research articles published by F1000Research are accompanied by the data on which the reported results are based (being sensitive to genuine data protection concerns).

Data Included
Access to the data underlying new findings is crucial to enable reanalysis, replication attempts and data reuse. All research articles published by F1000Research are accompanied by the data on which the reported results are based (being sensitive to genuine data protection concerns).
Why data should be available// 75 sec

Free Sharing of Posters and Slides
Publishing academic posters and slides is the first step to openly sharing research. F1000Research enables free, immediate publication of these formats, making them fully citable, increasing their visibility and enabling early feedback from the scientific community.
FIND OUT MORE ABOUT OUR MODEL
  • F1000Research F1000Research @F1000Research 30 Jun

    We support the @GBSIorg antibody validation initiative; take a look at the survey and join the community discussion: https://t.co/9KQXGpuKjb

  • F1000Research F1000Research @F1000Research 30 Jun

    New in the @Bioconductor channel: workflow for analyzing cancer genomic and epigenomic data https://t.co/rgYx4QDD66 https://t.co/wpfH4ZdUvs

  • FOR_Chicago FORChicago @FOR_Chicago 30 Jun

    Our #FORChi2015 symposium report is now available! Revitalizing biomedical research: https://t.co/AxohkErWlM @F1000Research

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  • Where are the female science professors?

    Almost 300 years after Laura Maria Caterina Bassi became the first woman to earn a professorship at a university in Europe, women still comprise less than one fifth of professors across that continent. In an opinion article published this month on F1000Research, Lynn Kamerlin, who runs a lab in the cell and [...]

    23 Jun 2016
  • Giving Researchers Credit for their Data enters Phase 3

    This is a guest post by Fiona Murphy, Project Manager for the Giving Researchers Credit for their Data project. It has been a few months since our last update, but we haven’t been idle. Once we learned we had been funded for a further phase to develop our helper app that supports publication of [...]

    22 Jun 2016
  • The INCF Neuroinformatics 2016 article series

    This September the INCF’s annual congress Neuroinformatics 2016 comes to Reading, UK, so we will be hopping on the Great Western Railway from Paddington to be there. If you are attending, please swing by our exhibit to say hello and/or pick up some free stuff! If you haven’t registered yet, the [...]

    13 Jun 2016
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