Automating the practice of science: Opportunities, challenges, and implications is a research paper published in Proceedings of the National Academy of Sciences (2025). On theSindex it has a DataRank of 0.510. It has been cited 29 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
Base Score Contribution
0.510
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology βUKRI Turing AI World-Leading Researcher Fellowship
Grant: EP/W002973/1
Finnish Center for Artificial Intelligence
Grant: 328813
Human Automata: Simulator-based Methods for Collaborative AI
EC | European Research Council
Grant: ERC-ADG-835002-GEMS
UK EPSRC
Grant: EP/R022925/2
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UK EPSRC
Grant: EP/W004801/1
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National Science Foundation
Grant: 2318549
Collaborative Research: HNDS-I:SweetPea: Automating the Implementation and Documentation of Unbiased Experimental Designs
European Research Council
Grant: 835002
Genetically Evolving Models of Science
NIBIB NIH HHS
Grant: R01 EB029272
NIBIB NIH HHS
Grant: R01 EB030896
FWCI
8.75
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
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