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FAIR Multidimensional Data

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This resource aims to support better understanding of multidimensional media available over the web which might serve various educational, research, as well as storytelling and audience engagement processes. Learners will engage in methods for managing media in a way which promotes the FAIR principles, and be introduced to the concept of a Virtual Research Environment to support retrieval and curation of multidimensional data for storytelling via interoperable frameworks.

Learning Outcomes

After completing this course, learners will:

  • Define the different types of multidimensional media.
  • Recognise the advantages of delivering and retrieving multidimensional content over the web via URLs and PIDs.
  • Reflect on FAIR and CARE principles and their application on digital heritage research data.
  • Understand the usefulness of Virtual Research Environments (VRE) and deploy VREs to support retrieval and curation of multidimensional data for storytelling via interoperable frameworks.
Interested in learning more?

Check out the tutorial FAIR Multidimensional Data

Go to this resource

Cite as

Karina Rodriguez Echavarria (2023). FAIR Multidimensional Data. Version 1.0.0. Digital Skills in Visual and Material Culture, University of Brighton. [Training module]. https://universityofbrighton.github.io/2023-fair-multidimensional-media/

Reuse conditions

Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter

Full metadata

Title:
FAIR Multidimensional Data
Authors:
Karina Rodriguez Echavarria
Domain:
Social Sciences and Humanities
Language:
en
Published to DARIAH-Campus:
9/19/2024
Originally published:
11/23/2023
Content type:
Training module
Licence:
CCBY 4.0
Sources:
DARIAH
Topics:
Augmented reality, Big data, Computational Imaging, Data management, Data modeling, Digital Archives, eHeritage, FAIR, Open science
Version:
1.0.0