Kahi unicity for person
Kahi will use this plugin to do an author unicity process based on the ORCID, scholar, scopus, researchgate ids and DOIs of your works.
Description
This plugin will analyze the person collection and based on the ORCID, scholar, scopus, researchgate ids and DOIs of their works, it will merge records of authors that correspond to the same person.
Installation
You could download the repository from github. Go into the folder where the setup.py is located and run
pip3 install .
From the package you can install by running
pip3 install kahi_unicity_person
Dependencies
This plugin requires kahi's person collection, it is recommended to make a backup of the collection before executing it.
Usage
To use this plugin you must have kahi installed in your system and construct a yaml file such as
config:
database_url: localhost:27017
database_name: kahi
log_database: kahi
log_collection: log
workflow:
unicity_person:
collection_name: person
max_authors_threshold: 0
num_jobs: 20
task:
- scholar
- scopus
- researchgate
- orcid
- doi
verbose: 1
max_authors_threshold is used to filter the works to be processed with DOI according to their number of authors, use 0 to process all the works.
Task corresponds to a list of unicity processes, the available options by id are ['linkedin', 'orcid', 'publons', 'researchgate', 'scholar', 'scopus', 'ssrn', 'wos'] and by work is “doi”. It is possible to set only one option.
- WARNING *. The doi unicity process could take several minutes
License
BSD-3-Clause License
Links
Metadata
Release files for Kahi-unicity-person 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| kahi_unicity_person-0.1.0.tar.gz | 7.9 kB | Without provenance | Details for kahi_unicity_person-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| Kahi_unicity_person-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for Kahi_unicity_person-0.1.0-py3-none-any.whl |
Total release size: 15.8 kB
Release files / kahi_unicity_person-0.1.0.tar.gz
| Download URL | kahi_unicity_person-0.1.0.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.21
|
Release files / Kahi_unicity_person-0.1.0-py3-none-any.whl
| Download URL | Kahi_unicity_person-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
025b793af10bd14bf98ee22fa6c1bc13ac2d097b247b92ac0eacb43d2d032955
|
|
BLAKE2b-256 checksum How to use checksums |
1812ad4a2789dcc2cb37a7ad931e89f72337ce250fffefbfc18547d9d553c82b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.21
|
Security for Kahi-unicity-person 0.1.0
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