Continuing our blog series highlighting the uses of Crossref metadata, we talked to Ulf Kronman, Bibliometric Analyst at the National Library of Sweden about the work they’re doing, and how they’re using our REST API as part of their workflow.
The NLS is a state agency, has a staff of about 320, and its main offices in Stockholm. Its primary duty is to preserve the Swedish cultural heritage by collecting everything printed in Sweden, and has been doing so since 1661. Nowadays the library also collects Swedish TV and radio programs, movies, videos, music, and computer games.
The National Library coordinates services and programs for all publicly funded libraries in Sweden and runs the national library catalogue system Libris and the national database for Swedish scholarly output, SwePub. The library also runs the Bibsam consortium, negotiating national subscription licenses and open access publishing agreements with publishers.
Images left to right: External and internal view of the National Library of Sweden, and Ulf Kronman, Bibliometric Analyst at NLS.
The metadata in the national scholarly publication database SwePub is harvested from the Swedish universities’ local publication systems, where data often is entered manually by librarians and researchers. This means that the metadata can contain a lot of omissions, synonyms, spelling variants and errors. Using Crossref, we can enhance and correct the metadata delivered to us, if we just have a correct DOI.
The Crossref metadata is presently used in two projects; Open APC Sweden and in our local analysis database for publication statistics used in negotiations with publishers.
Open APC Sweden is a pilot project to gather data on open access publication costs (APC’s – Article Processing Charges) from Swedish universities. The project is modelled from the German Bielefeld University Open APC initiative, which is a part of the INTACT project. After APC data has been delivered to the APC system, scripts are run against the Crossref API to fetch information about publishers and journals. A description of Open APC Sweden can be found here.
When building our local analysis database for publisher statistics, we download data from the SwePub database, use the Crossref DOIs for API lookup against Crossref to add correct ISSN and publisher data to the records and then match the records against a list of publisher serials. In this way, we can get information about how much Swedish researchers have been publishing with a certain publisher and use this data when negotiating conditions for open access publishing with the publisher in question.
In Open APC Sweden, a Python script supplied by staff at the Bielefeld University is used to pull metadata about publisher and journal names and ISSN’s from the Crossref API. The result is entered into an enriched version of the APC data files delivered by the universities and then statistics can be calculated on the result using an R script. The result can be seen here.
In the local analysis database, a modified copy of the Bielefeld Python script is used to add the same metadata to the records before matching them against publisher serial ISSNs.
In Open APC Sweden, the Python script is developed and maintained at the Bielefeld University and an exact copy is being run in the Swedish project.
In the local analysis system, the Python script is somewhat modified to suit the special demands of this system.
But sometimes it is very convenient just to use the main DOI lookup link to do a manual check-up of problematic records.
In Open APC Sweden, usually about two-three times a month, when new datasets are delivered from the universities. In the local analysis database, usually lookups are being done on a daily basis as development of the database continues.
In Open APC Sweden, the metadata is going into the APC data files for processing of statistics. In the local analysis database, the metadata is used to match against publisher journal ISSN’s.
For the Open APC Sweden I would like to build a database system to make the system more scalable than just working with flat data files.
With both the SwePub system and the local analysis system, we are now using the new service oaDOI and their API to look up metadata about the open access status of the publications to enrich our local systems.
In the process of normalising the publishers’ names, the names returned are sometimes at a “too high” or on a too generic level to be used to generate good statistics. For instance, Springer Nature are sometimes returned as Springer Nature, sometimes as Springer Science + Business Media and sometimes as Nature Publishing Group. A similar thing is valid for Taylor & Francis, where the mother company Informa UK Limited is returned instead of the publishing subsidiary of the company. One thing to wish for here is that we could agree on some kind of normalisation of the publishers’ names and that Crossref could return this as a supplement to the present metadata.
Thanks Ulf! If you would like to contribute a case study on the uses of Crossref Metadata APIs please contact the Community team.
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