BioData.pt Talks: AI + Biology for Sustainable Chemicals
BioData.pt Talks comprise a series of monthly webinars given by BioData.pt collaborators and guest experts.
Data management
BioData.pt Talks: What makes it challenging to establish a Federated EGA node? The experience of ELIXIR Norway
BioData.pt Talks comprise a series of monthly webinars given by BioData.pt collaborators and guest experts.
About this Event
Kjell Petersen, ELIXIR Norway's Technical Coordinator, is one of the people involved in the implementation of Norway's local instance of the European Genome-Phenome Archive (EGA). Therefore, he will showcase the challenges associated with the establishment of a Federated EGA.
1st Microbiome PT Summit
BioData.pt | ELIXIR-PT is setting a national microbiome community to align with ELIXIR's mission.
Ready for BioData Management | DMP double course, Nov 9-10
Ready For BioData Management? is hosting a back-to-back online edition of the "Introduction to Data Management Plans" and "Advanced Data Management Plans" courses on November 9th and 10th.
Registration
Participants can register for one day or both through this form.
After registration, they will be required to pay a registration fee as listed in the table below.
Ready for BioData Management @ CNC-UC
Ready For BioData Management? – Introduction to Data Management Plans is coming (virtually) to the Centre for Neuroscience and Cell Biology - University of Coimbra next September 24th.
Registration is exclusive to members and collaborators of the University of Coimbra.
Course Description
Ready For BioData Management?
Ready for BioData Management?
Ready for BioData Management? is a capacity building program in data management for the life sciences to empower researchers and institutions in managing their data more effectively and efficiently.
Plant Phenotyping-Genotyping Data Management
Plant phenotyping research has gone through a data revolution with the automation of plant phenotyping platforms, making it critical to adopt good data management practices in order to exploit the torrent of data to its full potential. Concretely, data should be published in a Findable, Accessible, Interoperable and Reusable (FAIR) way in order to enable the integration of data from disparate sources and the discovery of new knowledge.
