Announcement: Springer Nature SciGraph Data Explorer and SciGraph Datasets

We are pleased to announce ​a new full data release of Springer Nature SciGraph [1]. Following up on our earlier five-year release [2] this release includes bibliographic metadata for the complete archive of Springer Nature publications. This release can be accessed using the new Springer Nature SciGraph Data Explorer [3] tool. 

Springer Nature SciGraph is a Linked Open Data platform aggregating data sources from Springer Nature and key partners from the scholarly domain.

1. SciGraph Data Explorer

See: http://scigraph.springernature.com

The Data Explorer has two main functionalities:

a. Get rich data descriptions for SciGraph things by traversing the knowledge graph and using content negotiation on SciGraph URLs.

b. Explore the SciGraph data landscape in an interactive manner through the application UI.

2. SciGraph Datasets

See: http://scigraph.springernature.com/explorer/downloads/

The SciGraph datasets are being distributed as RDF data in a set of 78 files (.tar.bz2), which include an N-Triples data file (.nt) and a LICENSE.txt file.

These datasets comprise our SciGraph ontology, SKOS taxonomies and instance data covering the complete archive of Springer Nature publications, i.e. books and journals (1801-2017), conferences, affiliations, funders, research projects and grants. The data is current to end of 2017Q3.

The dataset consists of almost 1 billion triples (23.2 GB compressed, or 205.2 GB uncompressed). The RDF data is dereferenceable (Turtle, N-Triples, RDF/XML) and both HTTP and HTTPS protocols are supported.

The majority of SciGraph data is being released under a Creative Commons Attribution (CC BY) 4.0 International License, with a small portion of the data (specifically abstracts and grants) separately licensed under a Creative Commons Attribution-NonCommercial (CC BY-NC) 4.0 International License.

To align the SciGraph ontology with other well-known vocabularies we include several mappings and have used extensively two external datasets: ANZSRC (Australian and New Zealand Standard Research Classification) Fields of Research codes [4], and GRID (Global Research Identifier Database) identifiers [5].

We are looking forward to seeing you in the upcoming Springer Nature hackathon in London on November 29th [6]. 

The SciGraph Team


[1] https://www.springernature.com/scigraph
[2] https://lists.w3.org/Archives/Public/public-lod/2017Mar/0012.html
[3] https://scigraph.springernature.com
[4] https://vocabs.ands.org.au/anzsrc-for
[5] https://grid.ac/
[6] http://www.springernature.com/gp/researchers/campaigns/sn-hack-day​


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Received on Thursday, 9 November 2017 13:44:06 UTC