Open Access: First Articles Published on F1000 Research
From a F1000.com Post by Adie Chan:
At the start of this year, we announced our plans to develop a new project – F1000 Research – an attempt to create a new open access, open data publishing model within biology and medicine, with open and transparent peer review. Well, we’re pleased to announce that the first few F1000 Research articles have been published!
Those who have been following our project on the F1000 Research blog will have seen that we’ve put together an Editorial Board of over 1000 eminent scientists and clinicians. And, as you can imagine, the complexities of citing an article that will be in an evolving state of refereeing over time are huge, but, with the help of our Advisory Panel and major indexers, we’ve now finalised our article citation details. The article will be indexed once it has received a minimum of two positive reviews, and the citation will include the referee status of the article and an article version number.
The first three articles vary greatly in terms of topic, but each is fascinating in its own right. Each article is accompanied by data sets (there is no limit to the amount of data that can be submitted with F1000 Research articles), which are viewable through a specially designed widget developed in conjunction with figshare in order to enable readers to preview these data files before deciding whether to download the data itself. The tool means that even readers without the suitable viewers for these files can view the datasets in a friendly format.
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.