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data-spaces · GitHub Topics · GitHub

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data-spaces

A data space is a decentralized, federated infrastructure that facilitates the secure and trustworthy exchange of data between multiple participants. Unlike centralized data lakes or platforms, a data space preserves data sovereignty, meaning the data owner retains complete control over who can access their data and under what conditions. It relies on common governance frameworks, shared standards, interoperability protocols, and trust services to enable a fair and competitive data economy.

Here are 31 public repositories matching this topic...

This is the main repository of International Data Spaces Association on GitHub, where you can find general overview and useful information on IDS Landscape.

  • Updated May 7, 2026

The Dataspace Protocol is a set of specifications designed to facilitate interoperable data sharing between entities governed by usage control and based on Web technologies. These specifications define the schemas and protocols required for entities to publish data, negotiate Agreements, and access data in a data space

  • Updated Mar 13, 2025

A collection of data space building blocks based on the Eclipse Dataspace Components

  • Updated Jun 10, 2026
  • Python

Minimum Viable Dataspace on AWS

  • Updated Aug 5, 2026
  • Shell

Dataspace Connector on AWS

  • Updated Aug 19, 2026
  • Kotlin

Implementation and evaluation of an autonomous SSI-enhanced iSHARE framework, enabling decentralized identity management, schema alignment for property matching, and automated generation of alternative verification requests, improving scalability, privacy, and flexibility in data spaces and SSI ecosystems.

  • Updated Apr 10, 2025
  • Python

A tool to help in the process of building and signing Gaia-X Credentials

  • Updated Dec 11, 2024
  • JavaScript

AgoraOWL: ontology for data-space assets aligned with IDSA & BIGOWL; SHACL shapes enable discovery, interoperability & governance in Andalusian Agrifood Data Space Demonstrator Center.

  • Updated Jul 28, 2026
  • Python

Prediction of absenteeism at work, with machine learning models for classification.

  • Updated Dec 3, 2024
  • Jupyter Notebook

List of adopters of the mobilityDCAT-AP specification

  • Updated Jun 22, 2026

A repository to keep the vocabulary for datasets and models developed in Inesdata project

  • Updated May 6, 2024

Reference repository for the thorough assessment of multiple potential data space technology stacks for the EMDS

  • Updated Aug 14, 2026
  • Python

Parameterized deployment toolkit for Eclipse EDC dataspaces based on the MVD, supporting local development and internet-exposed environments

  • Updated Apr 8, 2026
  • Python

Tools to help participants set up the services they need to join the Data Cellar data space and guide them through the onboarding process

  • Updated Feb 9, 2026
  • Go Template

Sort-Stratified Semantics for Temporal Conflict Detection between pairs of ODRL policies

  • Updated Jul 25, 2026
  • Python

Code for the master thesis: Contract-based data validation framework

  • Updated Jun 17, 2025
  • Jupyter Notebook

SEDIMARK: A Decentralised Data and AI Marketplace

  • Updated Apr 20, 2026

An example of deploying a Data Cellar connector and running a data transfer against a public example provider connector

  • Updated Mar 28, 2025
  • Python

A reference model for transparent, community-governed football.

  • Updated Jul 27, 2026

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