Introduction

Estimated time: 40 minutes

Overview

Questions

• Why interoperability is important when dealing with research data?

Objectives

• Understand the importance of interoperability for data reuse
• Identify the key elements of an interoperable data format
• Identify characteristics that make a NetCDF dataset interoperable

Understand the importance of interoperability for data reuse

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Challenge

Understand the importance of interoperability for data reuse

Make it a multiple choice (or transform it to think-pair-share to enable more discussions) You have two datasets about ocean temperature — one in CSV format with unclear column names, and one in NetCDF format following CF conventions. Which dataset would be easier to reuse and why?

1. CSV — because it’s a simple text file

2. NetCDF — because it follows shared conventions

3. Both are equally reusable

Show me the solution

2. NetCDF — because it follows shared conventions

Challenge

True/False or Agree/Disagree with discussion afterwards

• “As long as data are open access, they are interoperable.”
• “Metadata standards help ensure interoperability.”
• “As long as data is using an open standard format is interoperable” (hint to connect to the next section)

Show me the solution

F,T,F

Instructor Note

This exercise is for discussion in Plenum nad it can serves as a good link to the next section

Identify the key elements of an interoperable data format

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Identify characteristics that make a NetCDF dataset interoperable

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Key Points

• Interoperability in the context of research data refers to the ability of systems, datasets, and tools to work together seamlessly.
• Interoperability can occur at multiple levels: technical(compatible formats), semantic(shared vocabularies), organizational (common policies),legal(licensing)
• etc.