FAIR Data training coming up

With the FAIR Data principles gaining momentum, many people want to learn more about FAIR Data. DTL and its partners frequently organise FAIR Data trainings, ranging from general introductions to highly specialised trainings.

FAIR training for Technology Hotels
DTL and ZonMw are currently organising a series of FAIR data training events for Technology Hotel beneficiaries. The aim is to help researchers (hotel guests and managers) that have obtained a grant in the 4th round of the Enabling Technologies Hotels programme to apply FAIR data management in their research. The first event in this series took place on 26 March 2018. Read more about DTL’s FAIR Data training activities on the dedicated page.

FAIR Data courses
DTL partner Phortos Consultants is organising two FAIR Data courses in collaboration with the GO FAIR Foundation. On 14-18 May 2018, the ‘Semantics for FAIR Data Interoperability’ course will take place in Leiden. This course is aimed at data scientists working in interdisciplinary teams within large organisations, who are dealing with an ever growing complexity of data integration. More information and sign up. On 25-29 June 2018, the ‘Data FAIRification for Data Stewards’ course will take place in Leiden, co-funded by the Irish Health Research Board. This course aims at librarians or data experts at universities and research institutions who are dealing with the ever growing complexity of data integration. More information and sign-up.

Pistoia Alliance Workshop on FAIR
On 5 June 2018, DTL partner the Hyve is organising a workshop on FAIR in Pharma Research & Development IT in collaboration with the Pistoia Alliance. The goal is to share best practices and tools for the FAIRification and the FAIR data management of internal preclinical and clinical datasets in Pharma IT. In this workshop, they will focus on concrete practical approaches and tools that exist today to bring existing pharma data assets in line with the FAIR Guiding Principles. They will evaluate key topics around the Findability, Accessibility and Interoperability of datasets, and discuss the role in this of recent developments such as Bioschemas. More information and sign up.

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