Joe Wass – 2016 November 04
As the linking hub for scholarly content, it’s our job to tame URLs and put in their place something better. Why? Most URLs suffer from link rot and can be created, deleted or changed at any time. And that’s a problem if you’re trying to cite them.
Joe Wass – 2016 August 02
One of the cool things about working in Crossref Labs is that interesting experiments come up from time to time. One experiment, entitled “what happens if you plot DOI referral domains on a chart?” turned into the Chronograph project. In case you missed it, Chronograph analyses our DOI resolution logs and shows how many times each DOI link was resolved per month, and also how many times a given domain referred traffic to DOI links per day.
We’ve released a new version of Chronograph. This post explains how it was put together. One for the programmers out there.
Joe Wass – 2016 May 31
This is a joint blog post with Dario Taraborelli, coming from WikiCite 2016.
In 2014 we were taking our first steps along the path that would lead us to Crossref Event Data. At this time I started looking into the DOI resolution logs to see if we could get any interesting information out of them. This project, which became Chronograph, showed which domains were driving traffic to Crossref DOIs.
You can read about the latest results from this analysis in the “Where do DOI Clicks Come From” blog post.
Having this data tells us, amongst other things:
Joe Wass – 2016 May 19
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.
This information is interesting because it shows not only where DOI hyperlinks are found across the web, but also when they are actually followed. This data allows us a glimpse into scholarly citation beyond references in traditional literature.
Jennifer Lin – 2016 January 08
In the 2015 Crossref Annual Meeting, I introduced a metaphor for the work that we do at Crossref. I re-present it here for broader discussion as this narrative continues to play a guiding role in the development of products and services this year.
At Crossref, we make content easy to find, link, cite, and assess through DOIs. Publishers register their publications and deposit metadata through a variety of channels (XML, CSV, PDF, manual entry), which we process and transform into Crossref XML for inclusion into our corpus. This data infrastructure which makes possible scholarly communications without restrictions on publisher, subject area, geography, etc. is far more than a reference list, index or directory.
Joe Wass – 2015 December 02
If you’re anything like us at Crossref Labs (and we know some of you are) you would have been very excited about the launch of the Raspberry Pi Zero a couple of days ago. In case you missed it, this is a new edition of the tiny low-priced Raspberry Pi computer. Very tiny and very low-priced. At $5 we just had to have one, and ordered one before we knew exactly what we want to do with it. You would have done the same. Bad luck if it was out of stock.
Joe Wass – 2015 September 30
Skimming the headlines on Hacker News yesterday morning, I noticed something exciting. A dump of all the submissions to Reddit since 2006. “How many of those are DOIs?”, I thought. Reddit is a very broad community, but has some very interesting parts, including some great science communication. How much are DOIs used in Reddit?
(There has since been a discussion about this blog post on Hacker News)
We have a whole strategy for DOI Event Tracking, but nothing beats a quick hack or is more irresistible than a data dump.
Joe Wass – 2015 March 03
Watch a real-time stream of DOIs being cited (and “un-cited!” ) in Wikipedia articles across the world: http://goo.gl/0AknMJ
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.
Geoffrey Bilder – 2015 March 02
Crossref’s “DOI Event Tracker Pilot”- 11 million+ DOIs & 64 million+ events. You can play with it at: http://goo.gl/OxImJa
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.
Joe Wass – 2015 January 12
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.
2017 February 15
2017 January 17
2016 December 05
2016 December 01