Data and the FAIR Principles: Reference

Key Points

Module Overview: Data and the FAIR Principles
  • There are a number of practical guidelines and best practices for ensuring data supports reproducible research

  • This module is in line with our overall goal of making science (including scientific training) more open by ensuring that data is made FAIR (Findabile, Accessible, Interoperable, and Reusable).

Lesson 1: Introduction to the Web of Data
  • Understanding the FAIR Data principles

  • Understanding identification of FAIR data

Lesson 2: Ethics
  • Understanding ethics surrounding the data ecosystem

Lesson 3: Data Publishing
  • There exist well defined recommendations for publishing data.

  • There are prctical guidelines and tools to assist in the publication of data.

Lesson 4: Your Labortory Datastore
  • There are a number of tools, developed by the research community and also by companies, to assist in stewardship of laboratory data.

  • There are a number of options for developiong your own custom database solution.

Lesson 5: Semantic Data Representations
  • How to develop a semantic data representation for your data.

FIXME: more reference material.