NFDI4Culture Metadata API
Metadata of all resources as Linked Open Data
The NFDI4Culture portal offers all content as Linked Open Data over this RESTful API. The API implements the Hydra-Specification of the W3C Hydra Community Group. The semantic description of this API can be retrieved by clients via the Hydra documentation file (JSON). Each metadata record offered via this API can also be retrieved in one of following machine-readable LOD serializations. The API is the basis for the Culture Research Information Graph, which together with the Culture Research Data Graph forms the Culture Knowledge Graph (for more details see this presentation).
Persistent Identifier: <https://nfdi4culture.de/id/E3627>
NFDI Infra Talk "How to Define the Quality of Data and Data Models? A Perspective from the Cultural Heritage Domain" on 06/03/2023
Retrieve record as:
- image
-
- url
- https://nfdi4culture.de/news/nfdi-infra-talk-how-to-define-the-quality-of-data-and-data-models-a-perspective-from-the-cultural-heritage-domain-on-06-03-2023.html
- name
- NFDI Infra Talk "How to Define the Quality of Data and Data Models? A Perspective from the Cultural Heritage Domain" on 06/03/2023
- headline
- NFDI Infra Talk "How to Define the Quality of Data and Data Models? A Perspective from the Cultural Heritage Domain" on 06/03/2023
- text
Dear Culture Community,
Don't miss the next NFDI Infra Talk focusing on data quality and quality management of cultural heritage data.
Date & Time: 6th March 2023 at 4pm
Speakers: Regine Stein and Prof Dr Gabriele Taentzer
Topic: How to Define the Quality of Data and Data Models? A Perspective from the Cultural Heritage Domain
About the talk
Data quality is a much-discussed topic, not only in the NFDI. But what is data quality? The definition of quality dimensions varies widely in the literature. We use a feature-based analysis to review existing quality definitions for data and data models, focusing on semi-structured, linked data. Our aim is to contribute to a common understanding of data quality and data model quality for this type of data. This work is a result of the BMBF-funded KONDA project on the continuous quality management of dynamic research data on objects of material culture. The results of this project will be incorporated into NFDI4Culture in particular.
The event will be held in English. More information on the NFDI Talks series can be found on the NFDI website.
Zoom
https://us02web.zoom.us/j/87966293929?pwd=ME1YSTBhY1NZWHo1bWhtcVFNaFZVQT09
Meeting-ID: 879 6629 3929
Code: 931849
YouTube Stream
- datePublished
- 2023-03-02T10:46:00+01:00