10.5281/zenodo.1438356
https://zenodo.org/records/1438356
oai:zenodo.org:1438356
La Bruzzo, Sandro
Sandro
La Bruzzo
0000-0003-2855-1245
Institute of Information Science and Technology - CNR
Manghi, Paolo
Paolo
Manghi
0000-0001-7291-3210
Institute of Information Science and Technology - CNR
Mannocci, Andrea
Andrea
Mannocci
0000-0002-5193-7851
Knowledge Media Institute - Open University
DOIBoost Dataset Dump
Zenodo
2018
dataset
CrossRef
Microsoft Academic Graph
Unpaywall
Spark
aggregation
metadata
enrichment
ORCID
2018-09-28
eng
10.5281/zenodo.1441058
10.5281/zenodo.1441072
10.5281/zenodo.1438355
https://zenodo.org/communities/openaire-research-graph
https://zenodo.org/communities/openaire
https://zenodo.org/communities/eu
2.0
Creative Commons Attribution 4.0 International
Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation, researchers in this domain end up struggling with daily integration problems producing a plethora of ad-hoc datasets, therefore incurring in a waste of time, resources, and infringing open science best practices. DOIBoost is a metadata collection that enriches CrossRef with inputs from Microsoft Academic Graph, ORCID, and Unpaywall for the purpose of supporting high-quality and robust research experiments, saving times to researchers and enabling their comparison.
This entry consists of two files: doiBoost.tar.gz (which contains a set of part.gz files, each one containing the JSON files realtive to the enriched CrossRef records) and termsOfUse.doc (which contains details on the terms of use of DOIBoost).
Note that this records comes with two relationships to other results of this experiment:
link to the data paper: for more information on how the dataset is (and can be) generated;
link to the software: to repeat the experiment .
European Commission
10.13039/501100000780
777541
OpenAIRE Advancing Open Scholarship