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Crossref Event Data: early preview now available

Crossref Event Data logo

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!

Egg

Chicken by anbileru adaleru from the The Noun Project

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.

Event Data: open for your interpretation

What happens to a research work outside of the formal literature? That’s what Event Data will aim to answer when the service launches later this year. Following the successful DOI Event Tracker pilot in Spring 2014, development has been underway to build our new service, newly re-named Crossref Event Data. It’s an open data service that registers online activity (specifically, events) associated with Crossref metadata. Event Data will collect and store a record of any activity surrounding a research work from a defined set of web sources.

Crossref & the Art of Cartography: an Open Map for Scholarly Communications

 

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.

Metadata enable connections

Cartography BorgesAt 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.

Distributed Usage Logging: A private channel for private data

Jennifer Lin

Jennifer Lin – 2015 December 04

In DataIdentifiersUsage

image 1907 forty wire telephone switchboard

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.

DOI Event Tracker (DET): Pilot progresses and is poised for launch

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.

DataCite supporting content negotiation

In April In April for its DOIs. At the time I cheekily called-out DataCite to start supporting content negotiation as well. Edward Zukowski (DataCite’s resident propellor-head) took up the challenge with gusto and, as of September 22nd DataCite has also been supporting content negotiation for its DOIs. This means that one million more DOIs are now linked-data friendly. Congratulations to Ed and the rest of the team at DataCite. We hope this is a trend.

Citation Typing Ontology

I was happy to read David Shotton’s recent Learned Publishing article, Semantic Publishing: The Coming Revolution in scientific journal publishing, and see that he and his team have drafted a Citation Typing Ontology.* Anybody who has seen me speak at conferences knows that I often like to proselytize about the concept of the “typed link”, a notion that hypertext pioneer, Randy Trigg, discussed extensively in his 1983 Ph.D. thesis.. Basically, Trigg points out something that should be fairly obvious- a citation (i.

Word Add-in for Scholarly Authoring and Publishing

Last week Pablo Fernicola sent me email announcing that Microsoft have finally released a beta of their Word plugin for marking-up manuscripts with the NLM DTD. I say “finally” because we’ve know this was on the way and have been pretty excited to see it. We once even hoped that MS might be able to show the plug-in at the ALPSP session on the NLM DTD, but we couldn’t quite manage it.

DataNet

thammond

thammond – 2007 October 12

In Data

Last week, my colleague Ian Mulvany posted on Nascent an entry about NSF’s recent call for proposals on DataNet (aka “A Sustainable Digital Data Preservation and Access Network”). Peter Brantley, of DLF, has set up a public group DataNet on Nature Network where all are welcome to join in the discussion on what NSF effectively are viewing as the challenge of dealing with “big data”. As Ian notes in a mail to me:

Citing Data Sets

thammond

thammond – 2007 March 30

In CitationData

This D-Lib paper by Altman and King looks interesting: “A Proposed Standard for the Scholarly Citation of Quantitative Data”. (And thanks to Herbert Van de Sompel for drawing attention to the paper.) Gist of it (Sect. 3) is

_“We propose that citations to numerical data include, at a minimum, six required components. The first three components are traditional, directly paralleling print documents. … Thus, we add three components using modern technology, each of which is designed to persist even when the technology changes: a unique global identifier, a universal numeric fingerprint, and a bridge service. They are also designed to take advantage of the digital form of quantitative data.

An example of a complete citation, using this minimal version of the proposed standards, is as follows:

**Micah Altman; Karin MacDonald; Michael P. McDonald, 2005, “Computer Use in Redistricting”,

hdl:1902.1/AMXGCNKCLU UNF:3:J0PkMygLPfIyT1E/8xO/EA==

http://id.thedata.org/hdl%3A1902.1%2FAMXGCNKCLU**

“_

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