Data collaboration with trust and transparency
Be it cross-sector or cross-border collaboration, regardless of any partners' current data technology, any institution can onboard fast.
Functional Features
Data Ecosystem
Unlock the value of data through collaboration within Data Ecosystems. A proper governance is key for the Data Ecosystem to be fair and trustworthy.
Govern
Define your rulebook consisting of a code of conduct and membership agreements and make the participants complying with them.
Onboard
Self-serve approach to register as a participant and get approval by the governance authority.
Transact
Immediate data transacting upon onboarding results in optimized time to value.
Ecosystem
Product ABC
Data Products
Data Products are at the heart of any flourishing Data Ecosystem and build the core of data sharing transactions.
Discover
Define your Data Product using industry standards. Publish them and make them findable for everyone in the Data Ecosystem.
Consume
Request access to a Data Product and agree to its usage terms. Consume the data through the channels offered by the owner of the Data Product.
Monitor
As the owner of a Data Product, monitor its usage and manage the Data Product driven by the demand of the data consumers.
Data Sharing Agreements
Data Sharing Agreements define the legal terms of use of a Data Product, including structure, format, semantics, quality and SLAs.
Draft
As an owner of a Data Product, draft your Data Sharing Agreement in an efficient manner using a wizard.
Simplify
Define your Data Sharing Agreements based on curated templates (i.e. provided by IPI) and following best practice in your jursidiction.
Execute
Make your Data Sharing Agreement legally binding by signing it electronically and decreasing administrative burden.
Agreement 2024
Code of ethics
Computational Governance
Increase process efficiency and mitigate risks through Computational Governance.
Convert
Make your Data Sharing Agreements smart by converting them into enforceable policies using open standards.
Automate
Automate the policies creation and avoid timely translation from natural languge to system interpreteable rules.
Enforce
Let the system enforce the terms and conditions stated in the Data Sharing Agreement.
Technical Features
DATA CONNECTORS
- • SQL Databases (Postgres, MariaDB, SQL Server, Oracle)
- • NoSQL Databases
- • Datafiles
- • Blob storage (S3, Azure Storage, Minio)
- • HTTP Endpoints
- • Eclipse Data Space Connector
DATA FORMATS
- • CSV & CSVH
- • TSV & TSVH
- • JSON
- • XLS & XLSX
- • PARQUET
QUERY
- • Support for ANSI SQL query
- • Distributed query engine
SECURITY
- • Access Key authN for APIs
- • Supports ID Federation
- • Web-based CLI authN
- • HSM-based secret storage
DEVELOPER SUPPORT
- • Developer portal
- • Command Line Interface
- • JSON-RPC Query endpoints
Pricing
Starter
CloudPragmatic and actually useful. Ideal for early-stage data space initiatives, startups and PoCs.
Hands-on
- ✓Simple user management
- ✓Basic data sharing agreements
- ✓Data space dashboard
Soon available on Azure Marketplace