Archive for the ‘Early-adopter’ Category

March 23, 2011 0

Bollocks to waiting 10 years for progress

By in e-Science, Early-adopter, Open data, Social Media, Software, Web 2.0, Wikis

Tweet Open Data warrior Mark Hahnel (@science3point0), the creator of FigShare, explains in this guest post the motivation behind the project and asks researchers why they aren’t publishing their research data. I read a good quote the other day: “Bollocks to waiting 10 years for progress. I want people to know about it now, and [...]

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June 12, 2010 7

The Future of the Journal, by Anita de Waard

By in Early-adopter, Hacks, Opinion, Social Media

Tweet I just found this presentation, and thought it’s worth bringing it to the attention of ap.com readers: The Future of the Journal Anita de Waard is the director of Disruptive Technologies at Elsevier. A company that has a position with such a name has my sympathy. Looks like publishers are slowly realizing that they [...]

March 17, 2010 9

Paperpile: A new kid on the block

By in Computing tips, Early-adopter, Reference management, Software

Tweet The first public beta of Paperpile–the latest entry in the crowded arena of free reference management software–has been recently announced. As I write, a test version is available for Linux, but Mac and Windows versions should be released soon. From the screenshots gallery, it looks like Paperpile will feature a streamlined (although quite typical) [...]

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January 29, 2010 4

Introducing citeproc-js

By in Computing tips, Early-adopter, FOSS, Reference management, Software, Web 2.0, Writing

citeproc-js is a citation processor driven by CSL (Citation Style Language), an open standard for describing citation and bibliography formats. It is a low-level tool, developed in connection with the Zotero project, that aims to provide a uniform engine for handling references across a wide variety of platforms.

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November 2, 2009 6

LaTeX rendering of equations in Google Wave – LaTeXy

By in Early-adopter, Reading, wave, Web 2.0, Wikis, Writing

Tweet It was a matter of time before someone wrote a robot that grabbed latex  and returned an image after latex processing. LaTeXy does exactly that and has just increased tenfold the usefulness of wave for academics.