In the first half of this year we’ve been talking to our community about post-publication changes and Crossmark. When a piece of research is published it isn’t the end of the journey—it is read, reused, and sometimes modified. That’s why we run Crossmark, as a way to provide notifications of important changes to research made after publication. Readers can see if the resesarch they are looking at has updates by clicking the Crossmark logo.
We’re happy to note that this month, we are marking five years since Crossref launched its Grant Linking System. The Grant Linking System (GLS) started life as a joint community effort to create ‘grant identifiers’ and support the needs of funders in the scholarly communications infrastructure.
The system includes a funder-designed metadata schema and a unique link for each award which enables connections with millions of research outputs, better reporting on the research and outcomes of funding, and a contribution to open science infrastructure.
In our previous blog post about metadata matching, we discussed what it is and why we need it (tl;dr: to discover more relationships within the scholarly record). Here, we will describe some basic matching-related terminology and the components of a matching process. We will also pose some typical product questions to consider when developing or integrating matching solutions.
Basic terminology Metadata matching is a high-level concept, with many different problems falling into this category.
Update 2024-07-01: This post is based on an interview with Euan Adie, founder and director of Overton._
What is Overton? Overton is a big database of government policy documents, also including sources like intergovernmental organizations, think tanks, and big NGOs and in general anyone who’s trying to influence a government policy maker. What we’re interested in is basically, taking all the good parts of the scholarly record and applying some of that to the policy world.
Following up on his earlier post (which was also blogged to CrossTech here), Leigh Dodds is now [Following up on his earlier post (which was also blogged to CrossTech here), Leigh Dodds is now]3 the possibility of using machine-readable auto-discovery type links for DOIs of the form
These LINK tags are placed in the document HEAD section and could be used by crawlers and agents to recognize the work represented by the current document. This sounds like a great idea and we’d like to hear feedback on it.
Concurrently at Nature we have also been considering how best to mark up in a machine-readable way DOIs appearing within a document page BODY. Current thinking is to do something along the following lines:
which allows the DOI to be presented in the preferred Crossref citation format (doi:10.1038/nprot.2007.43), to be hyperlinked to the handle proxy server (<a href="http://dx.doi.org/10.1038/nprot.2007.43">http://dx.doi.org/10.1038/nprot.2007.43</a>), and to refer to a validly registered URI form for the DOI (info:doi/10.1038/nprot.2007.43). Again, we would be real interested to hear any opinions on this proposal for inline DOI markup as well as on Leigh’s proposal for document-level DOI markup.
(Oh, and btw many congrats to Leigh on his recent promotion to CTO, Ingenta.)