https://github.com/civicdatalab/ids-drr

https://github.com/civicdatalab/ids-drr

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 (7.9%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: CivicDataLab
  • License: agpl-3.0
  • Default Branch: main
  • Size: 22.5 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 15
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

About IDS-DRR

Intelligent Data Solution for Disaster Risk Reduction (IDS-DRR) is an open-source platform that helps state-level and district-level Disaster Management Authorities to make timely data-driven decisions, prioritise expenditure of public funds and conduct public procurement in a manner that strengthens long-term disaster risk reduction and protects the most vulnerable people from the adverse effects of extreme weather events and climate change. In this platform, we bring together diverse high-value datasets from satellite, environmental, social, economic, demographic, infrastructure, loss & damages to data regarding government response to derive timely insights.

Partners

This 4-year project led by CivicDataLab & Open Contracting Partnership is planned to improve disaster risk reduction processes & practices in the state of Assam. It is supported by The Rockefeller Foundation.

System Architecture

This project involves developing a comprehensive data management and analytics system with the following steps:

Identify: Determine required data, sources, and variables. Collect: Gather raw data via APIs, QGIS, or scraping; start the data pipeline by storing it. Process: Clean, transform, and standardize data, saving relevant variables in a database. Model: Perform data modeling and store the outputs. Analyze: Build a data analytics layer with access APIs. Front-End: Develop a front-end analytics page. Publish: Create a data publishing platform (opub) for historical and real-time data with admin-only upload access. List: Implement a frontend page for accessing published datasets.

data flow

Owner

  • Name: CivicDataLab
  • Login: CivicDataLab
  • Kind: organization
  • Email: info@civicdatalab.in
  • Location: India

Harnessing Data, Tech, Design and Social Science to strengthen the course of Civic Engagements in India.

GitHub Events

Total
  • Public event: 1
Last Year
  • Public event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 12
  • Total Committers: 4
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.333
Past Year
  • Commits: 9
  • Committers: 2
  • Avg Commits per committer: 4.5
  • Development Distribution Score (DDS): 0.111
Top Committers
Name Email Commits
bhavabhuthi b****i@r****t 8
Archit Dubey p****7@g****m 2
baali b****i@m****n 1
Ruthvik Mandpati 3****9 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 1 year ago


Dependencies

docker-compose.yml docker
  • postgis/postgis 14-3.5