Data-driven research is becoming increasingly common in a wide range of academic disciplines, from Archaeology to Zoology, and spanning Arts and Science subject areas alike.
- which data can be open and which need to be protected
- how to go about writing a data management plan
- understand the FAIR principles
- select which data to keep and find an appropriate repository for them
- tips on how to get maximum impact from research data
For a citable version or to use this course offline, please refer to the print version which is available from Zenodo.
The course has been imported from the FOSTER project.
Title: Managing and Sharing Research Data
URL to Resource: https://training.ni4os.eu/course/view.php?id=28
Resource URL Type: URL
Description: Data-driven research is becoming increasingly common in a wide range of academic disciplines, from Archaeology to Zoology, and spanning Arts and Science subject areas alike. which data can be open and which need to be protected how to go about writing a data management plan understand the FAIR principles select which data to keep and find an appropriate repository for them tips on how to get maximum impact from research data For a citable version or to use this course offline, please refer to the print version which is available from Zenodo. The course has been imported from the FOSTER project.
Keywords: data management plan, FAIR, funders, librarians, open data, open data use and reuse, PhD students, policy makers, publishers, repository managers, research administration, research data management, researchers, self-paced, students, open data definition, data management tools
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Tuesday, 3 December 2019, 12:18 PM
Learning Resource Type: Other, Other
Learning Outcome(s): Data-driven research is becoming increasingly common in a wide range of academic disciplines, from Archaeology to Zoology, and spanning Arts and Science subject areas alike. which data can be open and which need to be protected how to go about writing a data management plan understand the FAIR principles select which data to keep and find an appropriate repository for them tips on how to get maximum impact from research data For a citable version or to use this course offline, please refer to the print version which is available from Zenodo. The course has been imported from the FOSTER project.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic