Continuing our blog series highlighting the uses of Crossref metadata, we talked to the team behind new search and discovery tool Dimensions: Daniel Hook, Digital Science CEO; Christian Herzog, ÜberResearch CEO; and Simon Porter, Director of Innovation. They talk about the work they’re doing, the collaborative approach, and how Dimensions uses the Crossref REST API as part of our Metadata Plus service, to augment other data and their workflow.
Dimensions is a next-generation approach to discovering, connecting with and contextualising research. Modern academics need data about the research ecosystem in which they exist as much as the administrators who develop institutional research strategies. All academics are now required to think long-range about their research projects, contextualise their research, and demonstrate the impact of their program. Additionally, they need to find funding, ensure that students go on to good positions, and hire talented colleagues whose skills fit well with ongoing projects. Dimensions gives the first fully-linked view of publications, grants, patents and clinical trials in an analytically-centred user experience.
For an article to appear in Dimensions it must have a Crossref DOI, so it would not be possible to create Dimensions’ Publication index without Crossref’s data. Dimensions is built on several principles that we’ve talked about before. Here the most relevant of those principles are:
In the context of these principles, Crossref makes a perfect starting place to create a tool like Dimensions. We use the Crossref data to know about our possible “universe” of articles. We then enhance the Crossref core with data from several different places: open access publications in the DOAJ, PubMed, BioArXiv, and through relationships with publishers. In all, 60 million of the 95 million articles in the Dimensions index have a full text version that we can text and data mine for additional information.
In Dimensions’ enhancement stage we can extract address information (where not included in the original Crossref record) and map it to GRID funding information and the list of funders in Crossref’s Funder Registry as well as to our database of grants in Dimensions.
Access to citations has historically been a thorny issue for citations databases. However, I4OC celebrated its first anniversary in April this year and this project has been a key driver in helping us to build Dimensions with the level of citation coverage that we managed –– it is a fantastic enabling initiative and should be warmly welcomed by the sector. Crossref is not the only source we were able to use to gather citation data; some text mining was needed to get a full graph. Dimensions goes beyond inter-article citations and includes links between patents and publications, links between clinical trials and publications, and Altmetric mentions of publications.
Given that there is so much open data in Dimensions, it was always our intention to give a free version to the community. If you visit http://app.dimensions.ai then you’ll be able to play with the system and use it for your research. While only the publications index is fully open, when you see a link to a grant, patent or clinical trial in an article detail page, you’ll be able to navigate to that record so that you can see the full context of the data.
Beyond the ability to link the publications, Dimensions also displays the CV information which the researcher made visible publicly.
Most recently, we’ve integrated ORCID into Dimensions. This means that you can push data from Dimensions into ORCID if you connect your ORCID account to your Dimensions account.
Dimensions is still moving quickly and adding more functionality. Our aim is to release more data facets very soon. We plan to add a Policy Document archive and a Research Data archive. We’ve already found some fascinating insights from joining the existing data together and these two new archives should add even more interesting data.
Open access information is something that we work with Unpaywall to source for Dimensions right now. It would be great if Crossref and Unpaywall could work together to make this data higher quality and more ubiquitous.
Thank you Daniel, Christian and Simon.
If you would like to contribute a case study on the uses of Crossref Metadata APIs please contact the Community team.
2020 January 14
2020 January 13
2019 December 17
2019 December 11