In the first half of this year weâve been talking to our community about post-publication changes and Crossmark. When a piece of research is published it isnât the end of the journeyâit 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.
Weâre 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 âgrant identifiersâ 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.
Continuing our blog series highlighting the uses of Crossref metadata, we talked to David Sommer, co-founder and Product Director at the research dissemination management service, Kudos. David tells us how Kudos is collaborating with Crossref, and how they use the REST API as part of our Metadata Plus service.
Introducing Kudos
At Kudos we know that effective dissemination is the starting point for impact. Kudos is a platform that allows researchers and research groups to plan, manage, measure, and report on dissemination activities to help maximize the visibility and impact of their work.
We launched the service in 2015 and now work with almost 100 publishers and institutions around the world, and have nearly 250,000 researchers using the platform.
We provide guidance to researchers on writing a plain language summary about their work so it can be found and understood by a broad range of audiences, and then we support researchers in disseminating across multiple channels and measuring which dissemination activities are most effective for them.
As part of this, we developed the Sharable-PDF to allow researchers to legitimately share publication profiles across a range of sites and networks, and track the impact of their work centrally. This also allows publishers to prevent copyright infringement, and reclaim lost usage from sharing of research articles on scholarly collaboration networks.
How is Crossref metadata used in Kudos?
Since our launch, Crossref has been our metadata foundation. When we receive notification from our publishing partners that an article, book or book chapter has been published, we query using the Crossref REST API to retrieve the metadata for that publication. That data allows us to populate the Kudos publication page.
We also integrate earlier in the researcher workflow, interfacing with all of the major Manuscript Submission Systems to support authors who want to build impact from the point of submission.
More recently, we started using the Crossref REST API to retrieve citation counts for a DOI. This enables us to include the number of times content is cited as part of the âbasket of metricsâ we provide to our researchers. They can then understand the performance of their publications in context, and see the correlation between actions and results.
A Kudos metrics page, showing the basket of metrics and the correlation between actions and results
What are the future plans for Kudos?
We have exciting plans for the future! We are developing Kudos for Research Groups to support the planning, managing, measuring and reporting of dissemination activities for research groups, labs and departments. We are adding a range of new features and dissemination channels to support this, and to help researchers to better understand how their research is being used, and by whom.
What else would Kudos like to see in Crossref metadata?
We have always found Crossref to be very responsive and open to new ideas, so we look forward to continuing to work together. We are keen to see an industry standard article-level subject classification system developed, and it would seem that Crossref is the natural home for this.
We are also continuing to monitor Crossref Event Data which has the potential to provide a rich source of events that could be used to help demonstrate dissemination and impact.
Finally, we are pleased to see the work Crossref are doing to help improve the quality of the metadata and supporting publishers in auditing their data. If we could have anything we wanted, our dream would be to prevent âfunny charactersâ in DOIs that cause us all kinds of escape character headaches!
Thank you David. If you would like to contribute a case study on the uses of Crossref Metadata APIs please contact the Community team.