https://github.com/bgyori/nsf_coa
Generate COA form co-authors for NSF proposals
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.5%) to scientific vocabulary
Repository
Generate COA form co-authors for NSF proposals
Basic Info
- Host: GitHub
- Owner: bgyori
- License: bsd-2-clause
- Language: Python
- Default Branch: main
- Size: 3.91 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Generate COA form for NSF proposals
Problem
NSF proposals require a collaborators and other affiliations (COA) form for each senior personnel. Table 4 of the COA form requires listing all co-authors and collaborators from the past 48 months. The general understanding is that every single author of a paper should be listed in the COA form without discretion. This is a tedious and error-prone task, especially for large collaborations.
Solution
This Python package implements an automated author extractor from PubMed entries. One or more PubMed IDs can be provided, and the package returns a table which can be saved as an xlsx file. The table has the same header as the official template and uses the same format and conventions.
Installation
The package can be installed locally as:
bash
pip install .
Usage
The package can be used as:
bash
python -m nsf_coa.coa 32365103 34664389 34860157
which dumps coa.xlsx in the current directory.
Web application
There is also a simple web application that can be used to generate the COA form. It can be run locally as:
bash
python -m nsf_coa.app
Then go to http://localhost:5000 in a web browser
and enter PMIDs into the text box.
Owner
- Name: Benjamin M. Gyori
- Login: bgyori
- Kind: user
- Location: Boston, MA, USA
- Company: Harvard Medical School
- Website: https://scholar.harvard.edu/bgyori
- Twitter: benjamingyori
- Repositories: 19
- Profile: https://github.com/bgyori
Sysbio & AI researcher. Leading indralab.github.io. Working on knowledge assembly, human-machine collaboration, text mining, probabilistic modeling.
GitHub Events
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Last Year
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Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Ben Gyori | b****i@g****m | 2 |
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