November 2020: Please check out the newer version of the OpenAIRE Research Graph dump available at https://doi.org/10.5281/zenodo.4201546. The newer version contains json files that are more compact and easy to process. learn more about the OpenAIRE Research Graph at https://graph.openaire.eu. The OpenAIRE Research Graph is exported as several dumps, so you can download the parts you are interested into. publication.gz: metadata records about research literature (includes types of publications listed here) dataset.gz:: metadata records about research data (includes the subtypes listed here) software.gz:: metadata records about research software (includes the subtypes listed here) orp.gz: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here) organization.gz: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders. datasource.gz: metadata records about providers whose content is available in the OpenAIRE Research Graph. They includes institutional and thematic repositories, journals, aggregators, funders' databases. project.gz: metadata records about projects funded by a given funder. <funder>_result.gz: metadata records about research results (publications, datasets, software, and other research products) funded by a given funder. Please go to http://develop.openaire.eu/graph-dumps.html for instructions on how to consume the dumps. Libraries: this blog describes the openairegraph libraries, which can be used to perform analytics on this dataset.

{"references": ["Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839", "K. Wang et al., \"A Review of Microsoft Academic Services for Science of Science Studies\", Frontiers in Big Data, 2019, doi: 10.3389/fdata.2019.00045", "Microsoft Academic Graph: https://aka.ms/msracad"]}