rdl-standard

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.

https://github.com/GFDRR/rdl-standard

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.7%) to scientific vocabulary

Keywords

climate-data disaster-risk-management hazard-assessment json opendata risk-assessment standard
Last synced: 6 months ago · JSON representation

Repository

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.

Basic Info
Statistics
  • Stars: 19
  • Watchers: 11
  • Forks: 1
  • Open Issues: 41
  • Releases: 0
Topics
climate-data disaster-risk-management hazard-assessment json opendata risk-assessment standard
Created almost 5 years ago · Last pushed 7 months ago
Metadata Files
Readme Contributing License Governance

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

  • Name: Global Facility for Disaster Reduction and Recovery (GFDRR)
  • Login: GFDRR
  • Kind: organization

GFDRR supports developing countries on disaster risk reduction and climate change adaptation

GitHub Events

Total
  • Issues event: 23
  • Watch event: 4
  • Delete event: 6
  • Member event: 1
  • Issue comment event: 45
  • Push event: 18
  • Pull request review event: 1
  • Pull request event: 8
Last Year
  • Issues event: 23
  • Watch event: 4
  • Delete event: 6
  • Member event: 1
  • Issue comment event: 45
  • Push event: 18
  • Pull request review event: 1
  • Pull request event: 8

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 790
  • Total Committers: 13
  • Avg Commits per committer: 60.769
  • Development Distribution Score (DDS): 0.644
Past Year
  • Commits: 27
  • Committers: 3
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.296
Top Committers
Name Email Commits
Duncan Dewhurst d****t@o****p 281
odscjen j****s@o****p 199
Stuart Fraser s****t@d****k 138
Mamadio m****o@g****m 34
Pierre Chrzanowski p****i@g****m 31
Mattia Amadio 4****o@u****m 25
odscrachel r****t@o****p 24
odscjen 9****n@u****m 18
Leigh Dodds l****h@l****m 12
stufraser1 s****1@g****m 12
Takuya Iwanaga t****i@g****m 10
Leigh Dodds l****s@g****m 4
odscrachel 5****l@u****m 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 97
  • Total pull requests: 64
  • Average time to close issues: 7 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 7
  • Total pull request authors: 5
  • Average comments per issue: 2.82
  • Average comments per pull request: 1.33
  • Merged pull requests: 45
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 22
  • Pull requests: 6
  • Average time to close issues: 3 days
  • Average time to close pull requests: 2 months
  • Issue authors: 3
  • Pull request authors: 2
  • Average comments per issue: 0.68
  • Average comments per pull request: 0.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • matamadio (35)
  • odscjen (21)
  • stufraser1 (19)
  • duncandewhurst (15)
  • pzwsk (4)
  • ldodds (2)
  • odscrachel (1)
Pull Request Authors
  • stufraser1 (20)
  • duncandewhurst (19)
  • odscjen (17)
  • pzwsk (4)
  • matamadio (4)
Top Labels
Issue Labels
proposal (24) Docs (20) dataset (15) metadata (6) hazard (3) exposure (2) datapackage (2) question (1) vulnerability (1) bug (1) loss (1)
Pull Request Labels

Dependencies

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.github/workflows/publish.yml.bak actions
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.github/workflows/run-tests.yml actions
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  • actions/setup-python v2 composite