Published October 5, 2022 | Version 1.0
Poster Open

Lessons learned from applying the FAIR Data Maturity Model to a prototypical data pipeline in Matter

Authors/Creators

  • 1. Helmholtz-Zentrum Berlin für Materialien und Energie

Description

A central mission of HMC is to support the data producers of the Helmholtz community in making their data FAIR. Developing a sustainable strategy for doing so requires a detailed understanding of community-specific practices, strengths, and limitations related to the application of each FAIR data guideline. We have applied the FAIR Data Maturity Model, developed by the respective RDA working group, to a prototypical data pipeline in the research field Matter. In our poster presentation, we would like to provide an overview of our approach and discuss the lessons learned that helped us identify key activities for meeting community needs.

Files

HMC_Conf_2022_Poster_Manual_FAIR_Assessment.pdf

Files (1.3 MB)