Read more about Joe Wass on their team page.
This is a long overdue followup to 2016’s “URLs and DOIs: a complicated relationship”. Like that post, this accompanies my talk at PIDapalooza, the premier festival of PIDs (Persistent Identifiers). I don’t think I need to give a spoiler warning when I tell you that it’s still complicated. But this post presents some vocabulary to describe exactly how complicated it is. Event Data has been up and running and collecting data for a couple of years now, but this post describes changes we made toward the end of 2018.
You want to hear more from us. We hear you. We’ve spent the past year building Crossref Event Data, and hope to launch very soon. Building a new piece of infrastructure from scratch has been an exciting project, and we’ve taken the opportunity to incorporate as much feedback from the community as possible. We’d like to take a moment to share some of the suggestions we had, and how we’ve acted on them.
Hello from sunny Girona! I’m heading to PIDapalooza, the Persistent Identifier festival, as it returns for its second year. It’s all about to kick off.
One of the themes this year is “bridging worlds”: how to bring together different communities and the identifiers they use. Something I really enjoyed about PIDapalooza last year was the variety of people who came. We heard about some “traditional” identifier systems (at least, it seems that way to us): DOIs for publications, DOIs for datasets, ORCIDs for researchers.
I’m here in Toronto and looking forward to a busy week. Maddy Watson and I are in town for the 4:AM Altmetrics Conference, as well as the altmetrics17 workshop and Hack-day. I’ll be speaking at each, and for those of you who aren’t able to make it, I’ve combined both presentations into a handy blog post, which follows on from my last one.
But first, nothing beats a good demo. Take a look at our live stream.
There’s a saying about oil, something along the lines of “you really don’t want to see how it’s made”. And whilst I’m reluctant to draw too many parallels between the petrochemical industry and scholarly publishing, there are some interesting comparisons to be drawn.
Oil starts its life deep underground as an amorphous sticky substance. Prospectors must identify oil fields, drill, extract the oil and refine it. It finds its way into things as diverse as aspirin, paint and hammocks.
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.
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.
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:
- where people are using DOIs in unexpected places
- where people are using DOIs in unexpected ways
- where we knew people were using DOIs but the links are more popular than we realised
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.
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.