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Dataset Open Access

OpenAIRE Research Graph Dump

Manghi, Paolo; Atzori, Claudio; Bardi, Alessia; Schirrwagen, Jochen; Dimitropoulos, Harry; La Bruzzo, Sandro; Foufoulas, Ioannis; Löhden, Aenne; Bäcker, Amelie; Mannocci, Andrea; Horst, Marek; Baglioni, Miriam; Czerniak, Andreas; Iatropoulou, Katerina; Kokogiannaki, Argiro; De Bonis, Michele; Artini, Michele; Ottonello, Enrico; Lempesis, Antonis; Nielsen, Lars Holm; Ioannidis, Alexandros; Bigarella, Chiara; Summann, Friedrich

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.

Files (292.7 GB)
Name Size
aka_results.gz
md5:f5eb5d0270406bfdbd7352a1a1806a28
52.9 MB Download
dataset.gz
md5:dbf89bfc64fb70f7861b3b338ac3626d
22.8 GB Download
datasource.gz
md5:c86aa08444279c596f5888996f98edb7
31.1 MB Download
fct_results.gz
md5:2c681d99d234cc80527e4a27132aef69
285.6 MB Download
fp7_results.gz
md5:1184f8d7e714413242aea4ffe5b01001
1.8 GB Download
fwf_results.gz
md5:7d886f16310b636734410354b058e4b2
123.4 MB Download
h2020_results.gz
md5:756e385d5670c3d08ce830d73a4c7e78
518.6 MB Download
hrzz_results.gz
md5:d1e6e2c86aace7dcdc09b571b9468993
7.5 MB Download
mestd_results.gz
md5:707337c1ed496a2f84254f070eda3c5a
51.0 MB Download
mzos_results.gz
md5:6914b0092b8bccc85f15e59f57af6f6c
17.0 MB Download
nih_results.gz
md5:68d46cac9f6f6679db1e2a45b1c8924a
2.4 GB Download
nsf_results.gz
md5:537f51cce0791e53d1eeeb222812616e
1.2 GB Download
nwo_results.gz
md5:b9838ead4dfb8340e60cccf6a581246a
123.5 MB Download
organization.gz
md5:4623a8bd1b2e7fc6bf175747b819fb0d
311.0 MB Download
orp.gz
md5:1f954672812b3ac8600363d82c04500c
12.7 GB Download
project.gz
md5:97c3adb69a32c2522fd5f14c7fd35c77
3.6 GB Download
publication.gz
md5:0ac4dc63cfecff22be5a1961e6c2fb8f
245.6 GB Download
sfi_results.gz
md5:aab730bcb793ef3756ca348a8a70f7f9
27.9 MB Download
sgov_results.gz
md5:75cc55c8d383a36d4604d4257a837ef4
62.8 MB Download
software.gz
md5:de2c510559b67df38ec90da2546d8092
270.5 MB Download
TUBITAK_results.gz
md5:449218a78d50d238484b1ca7fb2e7b9e
13.4 MB Download
wt_results.gz
md5:243d22690f0009d1621bfead4bc1973e
560.4 MB Download
  • 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

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Data volume 137.2 TB68.3 TB
Unique views 9,3602,212
Unique downloads 4,258767

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