Risk Data Library Standard
Provides a common description of the data used and produced in risk assessments, including hazard, exposure, vulnerability, and modelled loss, or impact, data.
https://github.com/GFDRR/rdl-standard
Category: Climate Change
Sub Category: Natural Hazard and Storm
Keywords
climate-data disaster-risk-management hazard-assessment json opendata risk-assessment standard
Keywords from Contributors
climate disaster hazard risk-analysis
Last synced: about 19 hours ago
JSON representation
Repository metadata
The Risk Data Library Standard (RDLS) is an open data standard to make it easier to work with disaster and climate risk data. It provides a common description of the data used and produced in risk assessments, including hazard, exposure, vulnerability, and modelled loss, or impact, data.
- Host: GitHub
- URL: https://github.com/GFDRR/rdl-standard
- Owner: GFDRR
- License: cc-by-sa-4.0
- Created: 2021-03-24T09:48:31.000Z (about 4 years ago)
- Default Branch: 0.2-dev
- Last Pushed: 2025-01-17T15:13:18.000Z (3 months ago)
- Last Synced: 2025-04-17T21:23:06.820Z (9 days ago)
- Topics: climate-data, disaster-risk-management, hazard-assessment, json, opendata, risk-assessment, standard
- Language: Python
- Homepage: https://docs.riskdatalibrary.org/
- Size: 22.1 MB
- Stars: 18
- Watchers: 13
- Forks: 1
- Open Issues: 47
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Governance: GOVERNANCE.md
README.md
Risk Data Library Standard
The Risk Data Library Standard is a data model for describing Hazard, Exposure,
Vulnerability and Loss data.
The model describes the common core metadata that applies to all risk datasets,
as well as standardised metadata that applies to Hazard, Exposure, Vulnerability and Loss
data.
This repository is used to coordinate the development of this data model. It will
be used to:
- publish working and released drafts of the data model specifications
- coordinate collaboration and discussion around the iterative development of those specifications
- provide an overview of the current status and roadmap
Intended audience
The repository is intended to support the work of those developing and contributing to the
Risk Data Library specifications.
This repository is intended to:
- support comments or feedback on the current specifications
- propose and discuss changes, e.g. in the form of revised wording or additions to the model
- answer questions about the governance and evolution of the standard
Other more useful resources exist if you have general questions about the scope and goals
of the Risk Data Library project, or are looking for a more high-level introduction to
the standard and its key concepts.
How to contribute
The Contributors guide covers the different ways in which you can contribute to this project to
support the development and adoption of the Risk Data Library Standard.
Project governance
Read the project governance documentation for more detail about our approach to making decisions and
agreeing changes to the standard.
Licence
The published specifications and all working documents in this repository are published under
a Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA 4.0) licence.
Visit the Creative Commons website for official translations of the licence text.
Owner metadata
- Name: Global Facility for Disaster Reduction and Recovery (GFDRR)
- Login: GFDRR
- Email:
- Kind: organization
- Description: GFDRR supports developing countries on disaster risk reduction and climate change adaptation
- Website: https://www.gfdrr.org/en
- Location:
- Twitter: GFDRR
- Company:
- Icon url: https://avatars.githubusercontent.com/u/708300?v=4
- Repositories: 83
- Last ynced at: 2024-04-15T14:43:00.778Z
- Profile URL: https://github.com/GFDRR
GitHub Events
Total
- Issues event: 5
- Watch event: 1
- Member event: 1
- Issue comment event: 4
- Push event: 2
Last Year
- Issues event: 5
- Watch event: 1
- Member event: 1
- Issue comment event: 4
- Push event: 2
Committers metadata
Last synced: 5 days ago
Total Commits: 753
Total Committers: 8
Avg Commits per committer: 94.125
Development Distribution Score (DDS): 0.627
Commits in past year: 1
Committers in past year: 1
Avg Commits per committer in past year: 1.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Duncan Dewhurst | d****t@o****p | 281 |
| odscjen | j****s@o****p | 216 |
| Stuart Fraser | s****t@d****k | 122 |
| Mamadio | m****o@g****m | 52 |
| Pierre Chrzanowski | p****i@g****m | 30 |
| odscrachel | r****t@o****p | 26 |
| Leigh Dodds | l****h@l****m | 16 |
| Takuya Iwanaga | t****i@g****m | 10 |
Committer domains:
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 94
Total pull requests: 60
Average time to close issues: 2 months
Average time to close pull requests: 8 days
Total issue authors: 7
Total pull request authors: 5
Average comments per issue: 3.62
Average comments per pull request: 1.33
Merged pull request: 40
Bot issues: 0
Bot pull requests: 0
Past year issues: 19
Past year pull requests: 1
Past year average time to close issues: about 2 months
Past year average time to close pull requests: N/A
Past year issue authors: 3
Past year pull request authors: 1
Past year average comments per issue: 0.79
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- matamadio (29)
- odscjen (23)
- stufraser1 (18)
- duncandewhurst (17)
- pzwsk (4)
- ldodds (2)
- odscrachel (1)
Top Pull Request Authors
- duncandewhurst (20)
- odscjen (20)
- stufraser1 (14)
- pzwsk (3)
- matamadio (3)
Top Issue Labels
- Docs (24)
- proposal (24)
- dataset (11)
- metadata (7)
- hazard (3)
- exposure (2)
- vulnerability (2)
- datapackage (2)
- question (1)
- bug (1)
- loss (1)
Top Pull Request Labels
Dependencies
- actions/cache v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
- actions/cache v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
Score: 6.253828811575472