Deliverable “D1.5 Data Management Plan” has been successfully submitted.

11/05/2020.

Deliverable “D1.5 Data management plan, report aligned to the H2020 suggested template and FAIR principles” has been successfully uploaded in the EE platform.

This report summarizes NEANIAS activities and actions towards comprehensive Data Management which is aligned to EC guidelines and FAIR Data principles. In particular, it describes NEANIAS data management plan and discusses the data management lifecycle to answer questions regarding both Ethical and Research data management.

NEANIAS cloud services will be able to support the data life cycle management of relatively large and heterogeneous datasets, will be based on best practices in coherence with the developments of the current and next generation EOSC frameworks. NEANIAS will secure openness and accessibility of the science results, data publishing in a useful manner and FAIR principles that are considered as baseline. By making NEANIAS data Findable, Accessible, Interoperable and Reusable new ways of interdisciplinary collaborations will be enabled and complex and global challenges could be addressed through EOSC.

The plan besides addressing which data, data types and data sources will be considered in the context of NEANIAS answers questions regarding the overall Research Data Management plan, including:

  • how can data be employed and exploited by NEANIAS services
  • how long will datasets and products be kept
  • which methodology and standards will be applied
  • whether data will be shared/ made open access
  • how data will be curated and preserved (including after the end of the project).

Further questions related to ethical data management are addressed, including:

  • the employed privacy policies
  • use and process of (end-) user data for research purposes
  • ethical vs. compliance aspects of privacy
  • any ethical implications of algorithms used
  • lawful bases for data processing.

 

 

EU Flag  NEANIAS is a Research and Innovation Action funded by European Union under Horizon 2020 research and innovation programme via grant agreement No.863448.