M4M

The FAIR Principles call for findable, accessible, interoperable, and reusable data for humans and machines. They don’t provide detailed instructions on how to achieve these goals. This course provides a thorough understanding of the FAIR Principles.

Interested in this course? Email us at [email protected]

Course curriculum

1

1 - What is metadata
- Video
2

2 - Example of a Metadata schema development
- Video
3

3 - What is FAIR Metadata
- Video
4

4 - M4M: a method for building FAIR metadata
- Video
5

5 - Benefits of FAIR metadata
- Video
6

6 - Metadata Schema - Definitions
- Video
7

7 - Generic vs Domain Specific Schemas
- Video
8

8 - DCAT and DCAT profiles
- Video
9

9 - Nanopublications introduction
- Video
10

10 - Nanopublication template
- Video
11

11 - Nanopub queries
- Video
12

12 - Knowledge models in the Data Stewardship Wizard
- Video
13

13 - Annotations in knowledge models
- Video