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Big Data in Chemistry

Big Data in Chemistry is a science project.

Event research_grant eu_cordis:676434
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Key Facts

  • Start time: January 1, 2016[1]
  • End time: December 31, 2019[2]
  • Participant: eu_cordis_org:999994729[3], University of Bonn[4], University of Strasbourg[5], eu_cordis_org:994623839[6], University of Modena and Reggio Emilia[7], eu_cordis_org:999941379[8], ETH Zurich[9], eu_cordis_org:999976493[10], eu_cordis_org:990776043[11], eu_cordis_org:999624092[12], eu_cordis_org:947825316[13], eu_cordis_org:998047066[14], eu_cordis_org:933821620[15], eu_cordis_org:997625892[16]
  • Short name: BIGCHEM[17]
  • Budget: 2540146.42 euro[18]
  • Funding scheme: Horizon 2020[19]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

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  18. [18] ↑ . wikidata.org.
  19. [19] ↑ . wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Big Data in Chemistry. Retrieved October 8, 2026, from https://4ort.xyz/entity/big-data-in-chemistry
MLA “Big Data in Chemistry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/big-data-in-chemistry.
BibTeX @misc{4ortxyz_big-data-in-chemistry_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Big Data in Chemistry}}, year = {2026}, url = {https://4ort.xyz/entity/big-data-in-chemistry}, note = {Accessed: 2026-10-08}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Big Data in Chemistry — https://4ort.xyz/entity/big-data-in-chemistry (retrieved 2026-10-08)

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