Exploring the FAIR data principles across disciplines
The FAIR data principles was published in 2016 as an attempt to maximize the re-usability of research data. Realizing that “open data is more than disclosure” on one hand and that “not all data can be open” on the other hand, the 15 principles have been designed to guide researchers, research institutions and service providers to make data Findable, Accessible, Interoperable and Reusable. They have since found their way into policies of funding agencies, publishers and universities.
However, applying these principles in practice is not straightforward, in particular considering the vast amount of data types and traditions in the different disciplines. This conference presented the highlights and conclusions of the “FAIR across” (“FAIR på tværs”) project, that 6 Danish institutions (Copenhagen University, DTU, Aalborg University, CBS, the Royal Library and the Danish National Archives) have conducted throughout 2018 for the Danish National Research Data Management Forum, investigating the challenges and benefits of FAIR data within different fields of research.
PROGRAMME WITH SLIDE SETS (open a new window)
The conference program featured presentations from FAIR data experts, data management specialists and researchers, that each gave their take on what ‘FAIR’ means for them, what barriers they encounter when trying to make data FAIR and which tools can be used to overcome these barriers. Finally, we will discuss how ‘FAIR’ is not only a technical concept, but also a mindset.
You can read more about the project HERE.
The conference was in English and open to all that have an interest in FAIR data principles e.g. data management professionals and researchers.
For more details, please contact project manager Zaza Herbert-Hansen at email@example.com.