Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines
Description
Data availability
The raw MEDLINE data are available at the PubMed database (https://pubmed.ncbi.nlm.nih.gov/download/) and the processed MEDLINE data used in this study are open-access at Harvard Dataverse (https://doi.org/10.7910/DVN/NFSYYA). The APS data used in this study are available at https://journals.aps.org/datasets. These data can be obtained through APS by submitting a request. The US Patent data used in this study are open-access in the patentsview database at https://patentsview.org/download/data-download-tables. The "Nobel Prize Papers" data used in this study are open-access at Harvard Dataverse https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/6NJ5RN. The "General Award-Winning Papers" data used in this study are open-access at Harvard Dataverse https://doi.org/10.7910/DVN/NFSYYA). The "facultyopinions" data used in this study are open-access at Harvard Dataverse (https://doi.org/10.7910/DVN/NFSYYA). Source data are provided with this paper.
Code that supports the main findings of this study are available on GitHub: https://github.com/KnowledgeLab/hyper-novelty.
Files
Surprising-combinations-of-research-contents-and-contexts-are-related-to-impact-and-emerge-with-scientific-outsiders-from-distant-disciplines.pdf
Files
(10.9 MB)
| Name | Size | Download all |
|---|---|---|
|
Supplementary information md5:fff74193885c6af44745f17f889cfc19 |
2.0 MB | Preview Download |
|
Peer review file md5:ad1b4036c0ee3ed5d34803b5d34d93bd |
716.9 kB | Preview Download |
|
Reporting summary md5:9c5ce0e4fbce9bf2834a42e6b245d3b7 |
1.3 MB | Preview Download |
|
Source data md5:71f0dee8c7eefae2f21b8de23ad3838c |
915.9 kB | Preview Download |
|
Article md5:f39fc9d4c56118dfe7deeb6394441097 |
5.9 MB | Preview Download |
Additional details
Identifiers
- DOI
- 10.1038/s41467-023-36741-4
- Other
- oai:uchicago.tind.io:5673
Funding
- University of North Carolina at Chapel Hill
- Data@Carolina initiative
- John Templeton Foundation
- United States Air Force Office of Scientific Research
- FA9550-19-1-0354
- U.S. National Science Foundation
- 1829366
- Defense Advanced Research Projects Agency
- HR00111820006