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News

dblp dump releases now have a DOI

Categories:

Since this December’s release, hosting the monthly dblp dump snapshots (in both XML and RDF/N-Triples format) has moved to the Dagstuhl Research Online Publication Server (DROPS). This step brings many advantages over the old Apache Directory Listings solution that dblp has been using since the mid-1990s: The DROPS digital library provides a clean and well-structured user interface, metadata and BibTeX records for all datasets are readily available, and required auxiliary files (like the matching DTD files for the XML releases) are always just one click away.

However, the probably most important improvement is that each dblp data release is now (finally!) properly registered for and labeled with a DOI.

DOIs for dblp data releases

All persistently stored dataset releases have moved to the new platform and are now accessible via DOI. This includes all monthly XML releases since March 2015 and all RDF/N-Triple releases since October 2021.

For instance, the latest dblp release from November 2024 is available via:

As the dblp XML release files also depend on a DTD file, the matching DTD versions are also linked in the UI and made accessible via DOI, e.g.:

Additionally, to find the latest version of the dblp XML, DTD, or RDF/N-Triple releases, you can always use the following DOIs:

Just please keep in mind that, conceptually, those DOIs describe the whole collection of dblp XML, DTD, or RDF/N-Triple releases as a whole. If you want to keep your research with dblp data reproducible, it is still best practice to cite the DOI of the actual, time-stamped dataset release you used in your experiments.

The previous dblp.org URLs pointing to the *.gz files of the release files will remain valid, but now serve a 301 Moved Permanently HTTP redirect to the new home of these files.

The Dagstuhl Research Online Publication Server

DROPS is Dagstuhl Publishing‘s open-access publication platform. It hosts (among other content) the documentation of Dagstuhl Seminars and Perspectives Workshops, as well as proceedings for world-class computer science conferences in its prestigious LIPIcs series. Schloss Dagstuhl developed DROPS in-house to enable the fast, uncomplicated publication of the latest research findings.

Access to all content of DROPS is free of charge for readers, in line with the Open Access vision, in order to promote unrestricted access to scientific results. Comprehensive metadata for each published item is provided in accordance with the current state of the art. In this way, online publications are made easily citable and permanently accessible to a wide range of readers.