Consultation participation and their own register declarations, side by side. Counts, not judgments — participation is not influence.
Counts here are a floor, never a total: they cover the 583 consultation files tracked so far (42,224 submissions, mostly 2025–26), so an organization's real filing history is larger, not smaller.
Register facts self-declared (snapshot 2 Sept 2026); cost bands are floors. Shared files are shared attention, not evidence of coordination.
What each said, in their own words
Their opening passages on the files they share, verbatim and in filing order. We do not summarize, compare, or characterize positions — read them at source.
Please find attached our detailed feedback. Summary: The future EU data spaces, as outlined in the Commission’s Data strategy, will be key to create a Single Market for data that will drive the EU’s digital transformation.
The purpose of Chapter II is to provide for re-use of data which is subject to third party rights. In recognition of the fact that this goal involves a delicate balancing act, we offer the following comments in support of clearer protections for those third party rights: IPRs Chapter II applies to data held by a public sector body (PSB) which is protected on grounds of, inter alia, “protection of IPRs of third…
DIGITALEUROPE welcomes the proposal for a Data Governance Act (DGA) and the possibility to provide feedback to the Commission. We are still finalising an in-depth analysis, but we already share below a set of early comments. Scope: The scope of the DGA needs to be clarified.
Intel welcomes the opportunity to comment on the Commission’s plans towards establishing High Value Datasets (HDVs) in accordance with the Open Data Directive. Intel is one of the world’s largest chipmakers. Intel (through its subsidiary Mobileye) is also the leading supplier of software that enables Advanced Driver Assist Systems (ADAS), with more than 25 automaker partners.
Please find attached our detailed feedback. Summary: The development of high-value datasets (HVDs) in specific fields will have major positive consequences for society. Such datasets offer significant potential for citizens and businesses, to help address societal challenges and to develop innovative services and products.
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