Published August 12, 2024
| Version 1
Output management plan
Open
AI4EOSC Data Management Plan
Authors/Creators
- 1. KIT - Steinbuch Centre for Computing, Institute of Physics of Cantabria (IFCA), Spanish National Research Council (CSIC), Madrid, Spain
Contributors
Project members:
- 1. KIT - Steinbuch Centre for Computing, Institute of Physics of Cantabria (IFCA), Spanish National Research Council (CSIC), Madrid, Spain
- 2. orcid
Description
The primary objective of the initial Data Management Plan (DMP) for the AI4EOSC project is to ensure compliance with GDPR regulations and to provide a comprehensive overview of how the project is managing the data generated within the scope of AI4EOSC in accordance with the relevant principles of making data findable, accessible, interoperable, and reusable (FAIR). The DMP outlines the type of data that the project is generating, how it will be made accessible for verification and re-use, and how it will facilitate potential re-use of the collected and processed data.
Within the list of objectives, work packages and tasks of the project, some FAIR-related activities can be found. For example, Task 7.2 aims to support the different use cases to ensure that the different digital objects potentially reusable along the workflow, adopt the FAIR principles: data, models, predictions, metadata, publications, software, etc. This means that, appart from the datasets used as input for model training, the complete workflow will connected to identify the different components, trying to make all the sicentific pipeline reproducible.
Files
DMP_Artificial_Intelligence_for_the_European_Open_Science_Cloud_1.pdf
Additional details
Related works
- Is identical to
- https://argos.openaire.eu//external/zenodo/b620ffa8-d99a-4a41-a042-cdf4af42a6ef (URL)