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The Taxonomies Interest Group would like to invite Crossref members to an informal drop-in at the Frankfurt Book Fair:

4-5pm on Wednesday 14th October at the TEMIS booth H76

In the next few weeks, authors with an ORCID iD will be able to have Crossref automatically push information about their published work to their ORCID record. It’s something that ORCID users have been asking for and we’re pleased to be the first to develop the integration. 230 publishers already include ORCID iDs in their metadata deposits with us, and currently there are 248,000 DOIs that include ORCID iDs.

We’d like to invite the scholarly publishing community to get together in Boston this November with the Crossref Annual Meeting as a rally point. This is the event we hold just once a year to get the whole team under one roof, host a lively discussion with the leading voices in scholarly communications, present technical workshops, and offer you the chance to get hands’ on with our latest metadata services. Our free two-day event takes place from November 17-18, 2015 in Boston, MA.

Publishers, researchers, funders, institutions and technology providers are all interested in better understanding how scholarly research is used. Scholarly content has always been discussed by scholars outside the formal literature and by others beyond the academic community. We need a way to monitor and distribute this valuable information.

Crossref’s funding data initiative (FundRef) encourages publishers to deposit information about the funding sources of authors’ research as acknowledged in their papers. The funding data comprises funder name and identifier, and grant number or numbers. Funding data can be deposited on its own or with the rest of the metadata for an item of content.

We regularly see developers using regular expressions to validate or scrape for DOIs. For modern Crossref DOIs the regular expression is short

/^10.\d{4,9}/[-._;()/:A-Z0-9]+$/i

For the 74.9M DOIs we have seen this matches 74.4M of them. If you need to use only one pattern then use this one.

Anybody who knows me or reads this blog is probably aware that I don’t exactly hold back when discussing problems with the DOI system. But just occasionally I find myself actually defending the thing…

We’ve been collecting citation events from Wikipedia for some time. We’re now pleased to announce a live stream of citations, as they happen, when they happen. Project this on your wall and watch live DOI citations as people edit Wikipedia, round the world.

View live stream »

In the hours since this feature launched, there are events from Indonesian, Portugese, Ukrainian, Serbian and English Wikipedias (in that order).

Background

On January 20th, 2015 the main DOI HTTP proxy at doi.org experienced a partial, rolling global outage. The system was never completely down, but for at least part of the subsequent 48 hours, up to 50% of DOI resolution traffic was effectively broken. This was true for almost all DOI registration agencies, including Crossref, DataCite and mEDRA.

At the time we kept people updated on what we knew via Twitter, mailing lists and our technical blog at CrossTech. We also promised that, once we’d done a thorough investigation, we’d report back. Well, we haven’t finished investigating all implications of the outage. There are both substantial technical and governance issues to investigate. But last week we provided a preliminary report to the Crossref board on the basic technical issues, and we thought we’d share that publicly now.

TL;DR

Watch a real-time stream of DOIs being cited (and “un-cited!” ) in Wikipedia articles across the world: https://live.eventdata.crossref.org/live.html

Background

For years we’ve known that the Wikipedia was a major referrer of Crossref DOIs and about a year ago we confirmed that, in fact, the Wikipedia is the 8th largest refer of Crossref DOIs. We know that people follow the DOIs, too. This despite a fraction of Wikipedia citations to the scholarly literature even using DOIs. So back in August we decided to create a Wikimedia Ambassador programme. The goal of the programme was to promote the use of persistent identifiers in citation and attribution in Wikipedia articles. We would do this through outreach and through the development of better citation-related tools.