data-registry
The FAIR Data Registry is a Django website and REST API which is used by the FAIR Data Pipeline to store metadata about code runs and their inputs and outputs
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.6%) to scientific vocabulary
Repository
The FAIR Data Registry is a Django website and REST API which is used by the FAIR Data Pipeline to store metadata about code runs and their inputs and outputs
Basic Info
Statistics
- Stars: 0
- Watchers: 7
- Forks: 1
- Open Issues: 30
- Releases: 30
Metadata Files
README.md
FAIR Data Registry
The FAIR data registry is a component of the FAIR data pipeline that maintains a metadata catalogue for different data types utilised and generated within a typical epidemiological modelling workflow.
Implementation
The FAIR data registry is implemented as a Django web application and REST API. The FAIR data pipeline uses the data registry to store metadata about code runs and their inputs and outputs.
Documentation
Information on how to install and run a local FAIR data registry is available at the local registry section in the project website.
The installation documentation covers the scripts provided to install in different platforms, how to install a particular branch of the repository.
Installation, development and maintenance guides, especially for the remote registry, are available in the Wiki. User documentation for the remote registry is also available here.
Owner
- Name: FAIR Data Pipeline
- Login: FAIRDataPipeline
- Kind: organization
- Website: https://www.fairdatapipeline.org
- Repositories: 22
- Profile: https://github.com/FAIRDataPipeline
Citation (CITATION.cff)
abstract: "The FAIR data registry is a Django website and REST API which is used by the data-pipeline to store metadata about code runs and their inputs and outputs."
authors:
- family-names: Blackwell
given-names: Richard
- family-names: Brett
given-names: Alys
- family-names: Cook
given-names: James
- family-names: Cummings
given-names: Nathan
- family-names: Field
given-names: Ryan
orcid: "http://orcid.org/0000-0002-4424-9890"
- family-names: "Gonzalez-Beltran"
given-names: Alejandra
orcid: "http://orcid.org/0000-0003-3499-8262"
- family-names: Hollocombe
given-names: Jonathan
- family-names: Lahiff
given-names: Andrew
- family-names: Richard
given-names: Reeve
- family-names: Wilson
given-names: Antony
orcid: "https://orcid.org/0000-0001-7336-4823"
- family-names: Zarębski
given-names: Kristian
cff-version: 1.2.0
license: "BSD-2-Clause"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/FAIRDataPipeline/data-registry/"
title: "The FAIR Data Registry"
version: "v1.2.0"
doi: "10.5281/zenodo.5562750"
date-released: "2023-02-03"
CodeMeta (codemeta.json)
{
"@context": "https://w3id.org/codemeta/3.0",
"type": "SoftwareSourceCode",
"applicationCategory": "Software",
"author": [
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"familyName": "Blackwell",
"givenName": "Richard"
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"familyName": "Brett",
"givenName": "Alys"
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{
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"type": "Person",
"familyName": "Cook",
"givenName": "James"
},
{
"id": "_:author_4",
"type": "Person",
"familyName": "Cumming",
"givenName": "Nathan"
},
{
"id": "http://orcid.org/0000-0002-4424-9890",
"type": "Person",
"affiliation": {
"type": "Organization",
"name": "University of Glasgow"
},
"familyName": "Field",
"givenName": "Ryan"
},
{
"id": "http://orcid.org/0000-0003-3499-8262",
"type": "Person",
"familyName": "Gonzalez-Beltran",
"givenName": "Alejandra"
},
{
"id": "_:author_7",
"type": "Person",
"familyName": "Hollocombe",
"givenName": "Jonathan"
},
{
"id": "_:author_8",
"type": "Person",
"familyName": "Lahiff",
"givenName": "Andrew"
},
{
"id": "_:author_9",
"type": "Person",
"affiliation": {
"type": "Organization",
"name": "University of Glasgow"
},
"familyName": "Reeve",
"givenName": "Richard"
},
{
"id": "_:author_10",
"type": "Person",
"familyName": "Wilson",
"givenName": "Anthony"
},
{
"id": "_:author_11",
"type": "Person",
"familyName": "Zarebski",
"givenName": "Kristian"
}
],
"codeRepository": "git+https://github.com/FAIRDataPipeline/data-registry.git",
"dateCreated": "2020-05-07",
"dateModified": "2024-02-23",
"datePublished": "2021-06-22",
"description": "The FAIR data registry is a component of the FAIR data pipeline that maintains a metadata catalogue for different data types utilised and generated within a typical epidemiological modelling workflow.",
"downloadUrl": "https://github.com/FAIRDataPipeline/data-registry/archive/refs/tags/v1.2.1.tar.gz",
"identifier": "10.5281/zenodo.5562749",
"isPartOf": "https://www.fairdatapipeline.org",
"keywords": [
"FAIR",
"REST",
"Django",
"Data Pipeline"
],
"license": "https://spdx.org/licenses/GPL-3.0+",
"name": "FAIR Data Registry",
"operatingSystem": [
"Linux",
"Windows",
"MacOS"
],
"programmingLanguage": "Python 3",
"releaseNotes": "Full Changelog: https://github.com/FAIRDataPipeline/data-registry/compare/v1.1.0...v1.2.1",
"softwareRequirements": "Django",
"version": "1.2.1",
"codemeta:contIntegration": {
"id": "https://github.com/FAIRDataPipeline/data-registry/actions"
},
"continuousIntegration": "https://github.com/FAIRDataPipeline/data-registry/actions",
"developmentStatus": "active",
"issueTracker": "https://github.com/FAIRDataPipeline/data-registry/issues"
}
GitHub Events
Total
- Release event: 2
- Delete event: 7
- Issue comment event: 16
- Push event: 12
- Pull request event: 17
- Create event: 13
Last Year
- Release event: 2
- Delete event: 7
- Issue comment event: 16
- Push event: 12
- Pull request event: 17
- Create event: 13
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 76
- Total pull requests: 125
- Average time to close issues: about 2 months
- Average time to close pull requests: about 2 months
- Total issue authors: 12
- Total pull request authors: 13
- Average comments per issue: 3.96
- Average comments per pull request: 2.14
- Merged pull requests: 97
- Bot issues: 0
- Bot pull requests: 38
Past Year
- Issues: 0
- Pull requests: 11
- Average time to close issues: N/A
- Average time to close pull requests: 17 days
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.91
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 8
Top Authors
Issue Authors
- alahiff (18)
- agbeltran (16)
- richardreeve (9)
- soniamitchell (9)
- ghost (8)
- alysbrett (5)
- RyanJField (4)
- bobturneruk (3)
- claireh93 (1)
- antony-wilson (1)
- mjb3 (1)
- jholloc (1)
Pull Request Authors
- dependabot[bot] (53)
- RyanJField (37)
- alahiff (23)
- antony-wilson (11)
- ghost (8)
- agbeltran (6)
- jwscook (4)
- jholloc (3)
- rtblackwell (2)
- kzscisoft (1)
- bobturneruk (1)
- richardreeve (1)
- bruvio (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
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- Django 3.1.13
- Markdown 3.2.2
- coverage 5.5
- django-allauth 0.42.0
- django-bootstrap-breadcrumbs 0.9.2
- django-crispy-forms 1.9.2
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- python >=3.7.1, <3.11
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- Markdown ==3.2.2
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