DALIA Portal
How to be FAIR with your data
How to be FAIR with your data
Authors
Description

The teaching and training manual is intended to support higher education institutions in integrating FAIR-specific content into curricula. It offers a comprehensive presentation of all FDM and FAIR topics, arranged by competence profiles, and includes practical material.

Einführung in die Arbeit mit Datenbanken
0
0
0
Einführung in die Arbeit mit DatenbankenThe Digital Humanities Virtual Laboratory Lab ("DHVLab", Digital Teaching and Research Infrastructure for the Humanities) at Ludwig-Maximilians-Universität München has developed a modular teaching and research infrastructure within the project framework and for students of art, history and linguistics who are particularly concerned with methods of the Digital Humanities. In the process, manuals as well as detailed descriptions of user cases have also been produced, including an introduction to dealing with databases. The manuals offer an insight into information technology fields that have been developed with practical relevance and the demands of students in the humanities in mind.
File Format
Unknown
Languages
German
Publication Date
2016-01-01
License
CCBYSA
Authors
Research Data Management for Biodiversity Data
0
0
0
Research Data Management for Biodiversity DataThis course provides an introduction to research data management specifically tailored to the needs of biologists and is offered by the Biodiversity Data Consortium NFDI4Biodiversity in cooperation with the Hessian Research Data Infrastructure HeFDI.
Learning Resource Type
Assessment
File Format
MD, PNG
Languages
English
Media Type
Code, Image, Text
Publication Date
2024-06-03
License
CCBY
Size
2.9 MB
Authors
Winter School Lectures - Slides
0
0
0
Winter School Lectures - SlidesThe Winter School aimed on Early-Career-Researcher (ECR´s) with a background in biodiversity and environmental science and took place in December 2022. It was a collaborative event between the Ecological Society (GfÖ) and the consortium NFDI4Biodiversity within the National Research Data Infrastructure Germany (NFDI). Various experts from the partner network (universities, data centers and research institutions) shared their widespread knowledge and trained participants in the fundamentals of Research Data Management (RDM) as well as cutting-edge technologies in handling environmental and biodiversity data across the Data Life Cycle (DLC). This is a collection of presentations from this Winter School 2022.
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Presentation
Publication Date
2022-12-09
License
CCBY
Authors
Open Science Advanced Course
0
0
0
Open Science Advanced CourseThis course is based on the "Basic Course" offer of the KIM Open Science Center of the University of Konstanz. It offers a collection of seven modules aiming at research and training related aspects around Open Science, like Policies and Strategies, Research Data Management and perspectives across ERUA countries and Planning Data Management, Models and Publishing, Citizen Science, Legal Aspects and Alternative Measures of Research Impact in the context of Open Science and Open Educational Resources.
File Format
Unknown
Languages
English
Publication Date
2023-08-23
License
CCBY
Authors
FDM-Lehrvideos
0
0
0
FDM-LehrvideosThe instructional videos from RWTH Aachen offer a good first introduction to the topic of FDM. The offer is generic and covers the basics of good FDM in six videos (<10 minutes). The videos are linked by a narrative thread based on an example, but each video is stand-alone and can be understood without viewing previous videos.
File Format
Unknown
Languages
German
Publication Date
2022-04-27
License
CCBY
Authors
MANTRA Research Data Management Training
0
0
0
MANTRA Research Data Management TrainingThe MANTRA Research Data Management Training self-study course of the University of Edinburgh offers a good, English-language introduction to the topic of research data and research data management, with minor restrictions. The content of the course is rather generic and is aimed at all those who deal with the topic of research data in the context of a research project. The course is divided into eight content modules, each of which is concluded with exercises, as well as a further module containing tutorials with existing data sets for various software solutions. It should be noted that the statements on funding policy, funding institutions and DMP requirements focus predominantly on the UK.
File Format
Unknown
Languages
English
Publication Date
2017-10-23
License
CCBY
Authors

Data
Literacy
Alliance
Sign up to our newsletterThe DALIA newsletter informs you about upcoming events and milestones.
Follow