Book Commonist Tendencies. Mutual Aid Beyond Communism by Jeff Shantz, Punctum Books, 2013, ISBN 978-0-615-84978-2, license CC BY-ND 3.0 Official website Open Library Inventaire Dataspace

Background: The European #health Dataspace (EHDS) expands #health data sharing beyond direct care and introduces governance, transparency, trust, and secondary-use considerations that are not fully captured by established technology acceptance models such as the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). To address this gap, we developed the #health dataspace technology acceptance model (HDS-TAM) and evaluated it using the German electronic #patient record (ePA) as an illustrative #health dataspace (HDS) application. Objective: This study aimed (1) to derive an HDS-oriented technology acceptance framework from the literature and (2) to assess its applicability in explaining acceptance of the ePA from a #patient perspective. Methods: A structured literature review screened 1788 records, reviewed 134 full-text papers, and retained 68 studies for model development. HDS-TAM was subsequently applied in a scenario-based online survey conducted between March and April 2025. Of 235 questionnaire accesses and 163 submitted responses, 149 valid responses were analyzed. Data were analyzed using multiple imputation, exploratory factor analysis, and partial least squares structural equation modeling (PLS-SEM). The association between behavioral intention and actual ePA use was examined using logistic regression. Results: The model explained 75.9% of the variance in behavioral intention to use (BI, ²=0.759), 67% in perceived usefulness (PU, ²=0.670), and 54% in perceived risk (PR, ²=0.540). PU showed the strongest positive association with BI (=.670,

🏆 YOU HAVE ONLY 1 WEEK TO STILL APPLY for the Data Spaces Support Centre - European Data Spaces Awards 2027❗ 🛑 DEADLINE: 2 November 2026, 23:59 CET Apply now 👉 https://lnkd.in/ejAFVsYC 🎯 The Europe...

🏆 YOU HAVE ONLY 1 WEEK TO STILL APPLY for the Data Spaces Support Centre - European Data Spaces Awards 2027❗ 🛑 DEADLINE: 2 November 2026, 23:59 CET Apply now 👉 https://lnkd.in/ejAFVsYC 🎯 The Europe...

When you deploy Eclipse Dataspace Components (EDC) connectors on AWS, one of the first challenges you face is predicting and controlling the cost of the required infrastructure. Without clear benchmarks, it is difficult to make informed decisions about workload sizing, environment configuration, and long-term investment. Part 1 of this 3-part blog series covered the fundamentals […]

This three-part blog series guides you through implementing Eclipse Dataspace Components (EDC) on AWS, from foundational concept to production deployment. Part 1 establishes the theoretical foundation with IDSA standards, the Dataspace Protocol (DSP), and core EDC architecture. Part 2 provides production-ready AWS deployment patterns using services like Amazon Elastic Container Service (Amazon ECS), Amazon Aurora, […]

Running Eclipse Dataspace Components (EDC) connectors in production on AWS requires deliberate architecture decisions around isolation, managed services, and security layering. In Part 1 of this series, we covered the fundamentals of data space architectures and EDC per the International Data Space Association’s (IDSA) standards. If you are new to EDC, we recommend starting there. […]

Participating in a data space still requires the Dataspace Protocol (DSP) negotiation flow to be hand-coded against each provider's access policy. We present a multi-agent architecture that automates this process using natural language requests. Built on LangGraph over an Eclipse Dataspace Componen…

I was reading through Open Resource Discovery this morning — SAP’s protocol, now under the Linux Foundation Europe’s NeoNephos, for a system to describe the ...

Public AI and the Cultural Heritage sector At the Royal Irish Academy (RIA) today with Irish Tech News for “Winds of Change: Ireland’s Cultural Heritage Sector and Public AI.” Event explores the role...

Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a c...