
ELITMa is a ELIXIR training program in Management, developed for Node Coordinators by ELIXIR-CONVERGE WP6 and WP2 in collaboration. ELITMa is directed to ELIXIR middle management people, namely, the already mentioned Node Coordinators, who could benefit from the complete program. In addition it is also designed for people involved in training, computing, data or bioinformatics services, who are interested in selected modules, according to their needs and previous background. Program summary M2 Data management strategy This module aims to guide Node Coordinators and Node Data Managers (f.i. ELIXIR-CONVERGE WP1 member) in strengthening data management in their Node. Its focus are best practices from the ELIXIR portfolio of data management tools and services. After this module, trainees should be able to navigate the ELIXIR data management portfolio and plan for consolidation of the relevant tools and services in their Nodes, aimed at strengthening data management life science research for and by the Nodes’ data stewards and researchers. The module aims to inspire Node Coordinators and Node Data Managers, providing them with new ideas to optimise (if applicable: create) their Nodes' DM strategy in the context of the ELIXIR Programme. You can find more information in the documents Event The training (two days) is part of a three-day event (27-29 June 2023), in Espoo, Finland. Funding ELIXIR-CONVERGE has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 871075
RDM, Research Data Management, Strategy, Training, ELIXIR
RDM, Research Data Management, Strategy, Training, ELIXIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
