Figuring out FigShare (@FigShare) & Digging into Digital Science (@digitalsci) #OpenData
Welcoming FigShare, an open data project, to the Digital Science family - DIGITAL SCIENCE: Applications and services for researchers
Digital Science I do not really know much about but am learning because, well, a big supporter of open science, Kaitlin Thaney (who I note, is also a friend), moved there relatively recently and I want to figure out what she does and what they do.
Digital Science has some detail in the "about" section on their home page. Some key points:
Digital Science provides software and information to support researchers and research administrators in their everyday work, with the ultimate aim of making science more productive through the use of technology. As well as developing our own solutions, we also invest in promising start-ups and other partners, working closely with them to help them realise their full potential.We are a business unit of Macmillan Publishers Ltd. and our activities build on the reputation for editorial and technological excellence of its sister company, Nature Publishing Group (NPG).
FigShare is an interesting take on the movement to get people to share and release more unpublished/prepublication data sets. From their website:
FigShare is is a permanent, citable archive for pre-publication research and preliminary findings.So in essence FigShare is trying to be an ArXiv for data sets (and figures presenting summaries of data).
FigShare is the first online repository for storing and sharing all of your prelimonary findings in the form of individual figures or datasets. Post preprint figures on FigShare to claim priority and receive feedback on your findings prior to formal publication.
One very nice thing - under FigShare data sets are published under a CC0 license which in essence puts the data into the public domain. And Figures and Media are published under a CC BY3.0 license which is pretty broad (attribution required).
They also emphasize a goal of getting people to deposit so-called negative results (which might be hard to publish in a traditional paper I suppose). However, it seems that this system is really for any type of prepublication release of data or media or figures.
Lots of cool things happening these days in terms of data sharing efforts. Most of it I am still learning about so maybe I should not even try to summarize it. But if others out there want to post links to other open data efforts that would be great.
Anyway - the Digital Science and FigShare thing caught my eye and just thought I would dig a little into them and post a few details.
UPDATE: Decided to post some Figures from Fig Share for people to check out: