Abstract
Principles of Findable, Accessible, Interoperable, and Reusable data for humans
and computers (FAIR)1are widely endorsed by organizations such as the Euro-
pean Open Science Cloud, the life science data infrastructure ELIXIR, the NIH
via its commons program, the biobanking infrastructure consortium BBMRI-
ERIC, the G20 and the G7. Implementing a data ecosystem based on FAIR
principles requires guidelines, tools, and training, and FAIR data stewards to
help apply them. The principles as such do not recommend any particular im-
plementation: user communities will have to decide the most appropriate imple-
mentation for their domain. Here, we demonstrate the use of a suite of Semantic
Web-based middle-ware services that help communities implement FAIR data
principles2. Aiming to facilitate adoption, the services are made to complement
existing data infrastructures, including local and centralised data resources, and
thus establish a robust, federated ecosystem of FAIR resources. The services
are also particularly suited for training data stewards. We demonstrate the ap-
plication of the services by rare disease and plant breeding communities where
the combination of Ontologies, Linked Data, and light-weight FAIR services are
being explored as the means to implement FAIR data principles.
and computers (FAIR)1are widely endorsed by organizations such as the Euro-
pean Open Science Cloud, the life science data infrastructure ELIXIR, the NIH
via its commons program, the biobanking infrastructure consortium BBMRI-
ERIC, the G20 and the G7. Implementing a data ecosystem based on FAIR
principles requires guidelines, tools, and training, and FAIR data stewards to
help apply them. The principles as such do not recommend any particular im-
plementation: user communities will have to decide the most appropriate imple-
mentation for their domain. Here, we demonstrate the use of a suite of Semantic
Web-based middle-ware services that help communities implement FAIR data
principles2. Aiming to facilitate adoption, the services are made to complement
existing data infrastructures, including local and centralised data resources, and
thus establish a robust, federated ecosystem of FAIR resources. The services
are also particularly suited for training data stewards. We demonstrate the ap-
plication of the services by rare disease and plant breeding communities where
the combination of Ontologies, Linked Data, and light-weight FAIR services are
being explored as the means to implement FAIR data principles.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017) |
| Editors | A. Paschke, A. Burger, A. Splendiani, M. Scott Marshall, P. Romano, V. Presutti |
| Number of pages | 2 |
| Volume | 2042 |
| Publication status | Published - 2017 |
| Event | 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4LS 2017 - Rome, Italy Duration: 4 Dec 2017 → 7 Dec 2017 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | Rheinisch-Westfaelische Technische Hochschule Aachen |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4LS 2017 |
|---|---|
| Country/Territory | Italy |
| City | Rome |
| Period | 4/12/17 → 7/12/17 |