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As part of our Event Data work we’ve been investigating where DOI resolutions come from. A resolution could be someone clicking a DOI hyperlink, or a search engine spider gathering data or a publisher’s system performing its duties. Our server logs tell us every time a DOI was resolved and, if it was by someone using a web browser, which website they were on when they clicked the DOI. This is called a referral.

I had a great chat with Danielle Padula of Scholastica, a journals platform with an integrated peer-review process that was founded in 2011. We talked about how journals get started with Crossref, and she turned our conversation into a blog post that describes the steps to begin registering content and depositing metadata with us. Since the result is a really useful description of our new member on-boarding process, I want to share it with you here as well.

Back in 2014, Geoffrey Bilder blogged about the kick-off of an initiative between Crossref and Wikimedia to better integrate scholarly literature into the world’s largest knowledge space, Wikipedia. Since then, Crossref has been working to coordinate activities with Wikimedia: Joe Wass has worked with them to create a live stream of content being cited in Wikipedia; and we’re including Wikipedia in Event Data, a new service to launch later this year.

We will shortly be adding a new feature to Crossmark. In a section called “Clinical Trials” we will be using new metadata fields to link together all of the publications we know about that reference a particular clinical trial. Most medical journals make clinical trial registration a prerequisite for publication. Trials should be registered with one of the fifteen WHO-approved public trial registries , or with clinicaltrials.gov which is run by the US National Library of Medicine.

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…

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.

TL;DR

Crossref’s “DOI Event Tracker Pilot”- 11 million+ DOIs & 64 million+ events. You can play with it at: http://goo.gl/OxImJa

Tracking DOI Events

So have you been wondering what we’ve been doing since we posted about the experiments we were conducting using PLOS’s open source ALM code? A lot, it turns out. About a week after our post, we were contacted by a group of our members from OASPA who expressed an interest in working with the system. Apparently they were all about to conduct similar experiments using the ALM code, and they thought that it might be more efficient and interesting if they did so together using our installation. Yippee. Publishers working together. That’s what we’re all about.

tl;dr http://chronograph.labs.crossref.org

At Crossref we mint DOIs for publications and send them out into the world, but we like to hear how they’re getting on out there. Obviously, DOIs are used heavily within the formal scholarly literature and for citations, but they’re increasingly being used outside of formal publications in places we didn’t expect. With our DOI Event Tracking / ALM pilot project we’re collecting information about how DOIs are mentioned on the open web to try and build a picture about new methods of citation.

Was outraged (outraged, I tell you) that one of my favorite online comics, PhD, didn’t include DOIs in their recent bibliography of Christmas-related citations.. So I’ve compiled them below. We care about these things so that you don’t have to. Bet you will sleep better at night knowing this. Or perhaps not… A Christmas Reading List… with DOIs. Citation: Biggs, R, Douglas, A, Macfarlane, R, Dacie, J, Pitney, W, Merskey, C & O’Brien, J, 1952, ‘Christmas Disease’, BMJ, vol.

Inspired by Google’s recent promotion of QR Codes, I thought it might be fun to experiment with encoding a Crossref DOI and a bit of metadata into one of the critters. I’ve put a short write-up of the experiment on the Crossref Labs site, which includes a demonstration of how you can generate a QR Code for any given Crossref DOI. Put them on postcards and send them to your friends for the holidays.