The FAIR Data Principles in practice: an application to the Plant Science domain

7 Dezembro 2018, 14:30 • Catia Luisa Santana Calisto Pesquita

Title: The FAIR Data Principles in practice: an application to the Plant Science domain



Summary:

The increasing scale of data production in several scientific domains poses challenges to knowledge discovery. It is critical to ensure that data is published in a manner that facilitates discovery, integration and analysis by both humans and machines. To this effect, the FORCE11 community published the FAIR Data Principles, which detail the criteria that data must meet to be Findable, Accessible, Interoperable and Reusable, and thus enable knowledge discovery. These principles have since been endorsed by several research infrastructures, namely by ELIXIR, Europe’s distributed infrastructure for biological data.

Plant Science is one of the scientific domains that raises more challenges to data FAIRness due to its heterogeneity and complexity. It is also one of ELIXIR’s communities, which is precisely tackling the challenge of making plant phenotypic data FAIR and enabling integration between phenotypic and genotypic data.

In this talk, I will dissect the FAIR Data Principles, identify the main hurdles to implementing them, then delve into the efforts of ELIXIR’s Plant Science community towards doing so in practice.




Biography:

Daniel Faria is a post-doctoral researcher in the Instituto Gulbenkian de Ciência under the ELIXIR-EXCELERATE project, and a member of BioData.pt, the Portuguese infrastructure for biological data and national ELIXIR node. In his work, he is putting his semantic web and knowledge management expertise to the service of ELIXIR’s Plant Science community and aiding in its goal of attaining data FAIRness.

Prior to his work on ELIXIR, he worked as a post-doctoral researcher at FCUL under the SOMER project, wherein he was (and remains) the lead developer of the ontology matching tool AgreementMakerLight, which continues to be highly successful to this day.

He obtained his PhD in Informatics (specialty Bioinformatics) at FCUL in 2012, and his graduate degree in Biological Engineering at the IST in 2004.