AwardedBelgiumServices€300,000
Study to assess the feasibility of a central registry of Text and Data Mining opt-out expressed by rightsholders
- Published
- Published 23 January 2025
- Deadline
- Closed 5 March 2025
Overview
The main purpose of this study is to assess both the opportunity and feasibility of developing a work-based registry of content identifiers and associated metadata that would support – whether centrally or within a federated network– the effective expression of Text and Data Mining (TDM) opt-outs for copyright-protected works and other subject matter and facilitate their identification by AI developers. The study should explore how a registry could support the expression of the TDM opt-out on individual copyright protected works, on the basis of work-based identifiers and associated metadata supporting right reservation, as well as rights licensing when relevant.
Key details
- Country
- Belgium
- Status
- Awarded
- Category
- Services
- Estimated value
- €300,000
- Procedure
- Open
- Published
- 23 January 2025
- Deadline
- Closed
IT services: consulting, software development, Internet and supportCopyright consultancy servicesMarket research services
Award outcome
- Award date
- 16 April 2025
- Contract period
- — → 11 January 2026
- CAPGEMINI ESPANA SL
- VISIONARY ANALYTICS UAB
Contract ending soon? Skim tracks incumbents and flags recompetes early. Book a demo to set up alerts.
Notice history
Every published notice in this contracting process, newest first.
Contract Award Notice
2 May 2025
Contract Notice
10 February 2025
Contract Notice
23 January 2025
Contracting authority
European Commission, DG CNECT - Communications Networks, Content and Technology
Procuring entityBrussels, Belgium
Authority website ↗
Get the full picture
AI analysis, bid scoring, and expert strategy for this tender
Skim analyses every tender against your company profile and tells you whether to bid, how to win, and who you are up against.
See which competitors are winning the contracts you're chasing.
15-minute call. We'll pull the win data on your real pipeline and show you what Skim does with it.