https://github.com/dissco/annotate-dissco-hack2025

1st DiSSCo Machine Annotation Service Hackathon

https://github.com/dissco/annotate-dissco-hack2025

Science Score: 13.0%

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Repository

1st DiSSCo Machine Annotation Service Hackathon

Basic Info
  • Host: GitHub
  • Owner: DiSSCo
  • License: apache-2.0
  • Default Branch: main
  • Size: 15.6 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 12 months ago
Metadata Files
Readme License

README.md

annotate-dissco-hack2025

1st DiSSCo Machine Annotation Service Hackathon March 24th–26th 2025

This is the central repository used during the DiSSCo Machine Annotation Service Hackathon

hackathon-25-dissco

The hackathon is a hands-on event to develop annotation services for digital specimens. The participants will work on extracting and enriching specimen data and integrating their service into the DiSSCover architecture to enhance FAIR data.

Background

What is a Machine Annotation Service?

A Machine Annotation Service (MAS) is an automated service that annotates a target in DiSSCo. These services are scheduled by users on individual specimen or media in DiSSCo. What a MAS offers is broad. From sophisticated AI services to taxonomic services to linking to other infrastructures, MASs add value to natural science collections data in all sorts of ways.

More information: https://dissco.github.io/mas-developers-documentation/

Datasets

Would you like to have a specific dataset ingested into the DiSSCover sandbox environment? Only data within the sandbox environment may be annotated by a MAS. Datasets ingested into the sandbox environment are harmonized to the OpenDS specification and are publicly available.

In order to be ingested, data must made available through an endpoint, and it must be either in the Darwin Core or ABCD(EFG) format. If you would like your data ingested, please provide: - The endpoint your data is available on - The host organisation (including ROR if possible) - A brief description of your dataset

Owner

  • Name: DiSSCo
  • Login: DiSSCo
  • Kind: organization
  • Email: info@dissco.eu
  • Location: Europe

Distributed System of Scientific Collections - pan-European Research Infrastructure. Updates on DiSSCo and natural science collections

GitHub Events

Total
  • Watch event: 1
  • Member event: 4
  • Push event: 6
Last Year
  • Watch event: 1
  • Member event: 4
  • Push event: 6