Nothing Special   »   [go: up one dir, main page]
Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Emerging Technologies

arXiv:2309.11282 (cs)
[Submitted on 20 Sep 2023 (v1), last revised 9 Jan 2024 (this version, v2)]

Title:A Survey of Dataspace Connector Implementations

Authors:Tobias Dam, Lukas Daniel Klausner, Sebastian Neumaier, Torsten Priebe
View PDF HTML (experimental)
Abstract:The concept of dataspaces aims to facilitate secure and sovereign data exchange among multiple stakeholders. Technical implementations known as "connectors" support the definition of usage control policies and the verifiable enforcement of such policies. This paper provides an overview of existing literature and reviews current open-source dataspace connector implementations that are compliant with the International Data Spaces (IDS) standard. To assess maturity and readiness, we review four implementations with regard to their architecture, underlying data model and usage control language.
Comments: 12 pages, 5 figures, CEUR-WS: this https URL
Subjects: Emerging Technologies (cs.ET)
Cite as: arXiv:2309.11282 [cs.ET]
  (or arXiv:2309.11282v2 [cs.ET] for this version)
  https://doi.org/10.48550/arXiv.2309.11282
Journal reference: Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023

Submission history

From: Tobias Dam [view email]
[v1] Wed, 20 Sep 2023 13:05:44 UTC (152 KB)
[v2] Tue, 9 Jan 2024 10:58:26 UTC (150 KB)
Full-text links:

Access Paper:

view license
Current browse context:
cs.ET
< prev   |   next >
new | recent | 2023-09
Change to browse by:
cs

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)