Nettsider med emneord «Research data management»
A hands-on workshop for developing and sharing a Data Management Plan for your research.
In this half-day course in research data management, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management, participants will gain insight into planning for data storage, organisation and documentation and working with Data Management Plans.
In this half-day course in research data management, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
A hands-on workshop for developing and sharing a Data Management Plan for your research.
In this course, you will learn to use Zotero to boost your analysis, gathering all your research material, tags, annotations, and notes in one place for easy retrieval. In Zotero you can highlight, annotate, and tag your texts, facilitating your analysis and retrieval. Zotero also allows you to easily collaborate on your analysis and share your bibliographies and research, including your notes and annotations.
In this half-day course in research data management, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
Join us for a hands-on workshop on writing a Data Management Plan (DMP) with the web tool FAIR Wizard!
In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
I dette halvdagskurset i forskningsdatahåndtering modul 2, vil deltakerne få kjennskap til potensialet ved deling av forskningsdata i tråd med FAIR prinsippene om gjenfinnbare, tilgjengelige, interoperable og gjenbrukbare data.
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
I dette halvdagskurset i forskningsdatahåndtering modul 2, vil deltakerne få kjennskap til potensialet ved deling av forskningsdata i tråd med FAIR prinsippene om gjenfinnbare, tilgjengelige, interoperable og gjenbrukbare data.
In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
I dette halvdagskurset i forskningsdatahåndtering modul 2, vil deltakerne få kjennskap til potensialet ved deling av forskningsdata i tråd med FAIR prinsippene om gjenfinnbare, tilgjengelige, interoperable og gjenbrukbare data.
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.