https://github.com/alan-turing-institute/data-study-group-

Data Study Group Organisers Hub

https://github.com/alan-turing-institute/data-study-group-

Science Score: 13.0%

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
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Data Study Group Organisers Hub

Basic Info
Statistics
  • Stars: 6
  • Watchers: 4
  • Forks: 2
  • Open Issues: 30
  • Releases: 0
Created over 6 years ago · Last pushed over 5 years ago
Metadata Files
Readme

README.md

Important Notice - This repo should be cloned for individual projects. However, we welcome your suggestions to improve this guide. Please submit pull requests as per usual.

The Data Study Groups (DSG)

What are Data Study Groups?

Intensive five day 'collaborative hackathons' hosted at the Turing, which bring together organisations from industry, government, and the third sector, with talented multi-disciplinary researchers from academia. Organisations act as Data Study Group 'Challenge Owners', providing real-world problems and datasets to be tackled by small groups of highly talented, carefully selected researchers. Researchers brainstorm and engineer data science solutions, presenting their work at the end of the week.

Dates

We usually hold the event 3 times a year; April/May, Spetemebr, December

Key Terms

CO = Challenge Owner, the organisation/academic that is proposing the challenege

PI = Principal Investigator, the academic matched with the project to guide the scientific elements of the challenge

Participant= A Data Study Group attendee who will attend the week and work on one of the challenges

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

GitHub Events

Total
  • Pull request event: 1
  • Fork event: 1
Last Year
  • Pull request event: 1
  • Fork event: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 29
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.03
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • DaisyParry (29)
Pull Request Authors
  • Preshh0 (2)
Top Labels
Issue Labels
Must do (12) Event Materials (6) General Organisation (6) documentation (2) enhancement (1)
Pull Request Labels