Test out the early preview of Event Data while we continue to develop it. Share your thoughts. And be warned: we may break a few eggs from time to time!
Want to discover which research works are being shared, liked and commented on? What about the number of times a scholarly item is referenced? Starting today, you can whet your appetite with an early preview of the forthcoming Crossref Event Data service. We invite you to start exploring the activity of DOIs as they permeate and interact with the world after publication.
Jennifer Lin – 2016 January 08
In Crossref LabsDataEvent DataFundersIdentifiersLinked DataMetadataOrcidXml
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 research outputs easy to find, cite, link, 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.
Forty wire telephone switchboard, 1907, Author unknown, Popular Science Monthly Vol 70, Wikimedia Commons.
A few months ago Crossref announced that we will be launching a new service for the community in 2016 that tracks activities around DOIs recording user content interactions. These “events” cover a broad spectrum of online activities including publication usage, links to datasets, social bookmarks, blog mentions, social shares, comments, recommendations, etc. The DOI Event Tracking (DET) service collects the data and make it available to all in an open clearinghouse so that data are open, comparable, audit-able, and portable. These data are all publicly available from external platform partners, and they meet the terms of distribution from each partner.
Crossref goes live in tandem with DataCite to push both publication and dataset information to ORCID profiles automatically. All organisations that deposit ORCID iDs with Crossref and/or DataCite will see this information going further, automatically updating author records.Â
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.
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.
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.
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