This module is a part of the introductory online course “Data Steward Training”. In this course learners will develop the skills and gain knowledge on how to be a successful data steward. By the end of this module, learners will: Be able to explain the difference between FAIR and Open Data to researchers. Be able to make data FAIR by using a set of practical guidelines and tools. Understand the range of skills and knowledge associated with data stewardship. Be aware of different approaches to stewardship service provision. Be able to identify key elements that help make research data discoverable, accessible, interoperable and reusable. Be able to practise making data FAIR. This module is suitable for da...
This quiz and learning activity are part of the introductory online course “Bringing synergy to bett...
Diverse initiatives are being developed and implemented by universities across Europe to foster the...
Research projects are usually composed of three or more smaller but highly complex project units tha...
This module is a part of the introductory online course “Data Steward Training”. In this course lear...
This module is a part of the introductory online course “Data Steward Training”. In this course lear...
FAIRsFAIR together with EOSC Synergy have launched an introductory level online Data Steward Trainin...
The Data Management course has been organised by AREA Science Park and tailored to their researchers...
This module is a part of the introductory online course “Data Steward Training”. In this course lear...
Introduction to RDM primarily for researchers. Can be seen as primer to all other materials in this ...
Collecting, processing and analyzing data are central activities for virtually every researcher. Hen...
The learning objective of the presentation is to define the role and tasks of a data steward in the ...
Training Course for PhD Students, composed of four modules. It aims to introduce early-career resea...
The learning objective of the presentation is to understand FAIR principles by distinguishing betwee...
The course on FAIR Data Stewardship in Life Science organised by ELIXIR Italy, EOSC-Pillar Project, ...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...
This quiz and learning activity are part of the introductory online course “Bringing synergy to bett...
Diverse initiatives are being developed and implemented by universities across Europe to foster the...
Research projects are usually composed of three or more smaller but highly complex project units tha...
This module is a part of the introductory online course “Data Steward Training”. In this course lear...
This module is a part of the introductory online course “Data Steward Training”. In this course lear...
FAIRsFAIR together with EOSC Synergy have launched an introductory level online Data Steward Trainin...
The Data Management course has been organised by AREA Science Park and tailored to their researchers...
This module is a part of the introductory online course “Data Steward Training”. In this course lear...
Introduction to RDM primarily for researchers. Can be seen as primer to all other materials in this ...
Collecting, processing and analyzing data are central activities for virtually every researcher. Hen...
The learning objective of the presentation is to define the role and tasks of a data steward in the ...
Training Course for PhD Students, composed of four modules. It aims to introduce early-career resea...
The learning objective of the presentation is to understand FAIR principles by distinguishing betwee...
The course on FAIR Data Stewardship in Life Science organised by ELIXIR Italy, EOSC-Pillar Project, ...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...
This quiz and learning activity are part of the introductory online course “Bringing synergy to bett...
Diverse initiatives are being developed and implemented by universities across Europe to foster the...
Research projects are usually composed of three or more smaller but highly complex project units tha...