Introduction

Overview

Teaching: 8 min
Exercises: 0 min

Questions

• Who are we and what are we going to learn?

Objectives

• Introduce ourselves and the course

• Setup Hydroshare our example FAIR data platform

• Better research by better sharing

Introductions

Introductions

• Sean Cleveland, Cyberinfrastructure Scientist, The University of Hawai’i Cyberinfrastructure & Hawaii Data Science Institute
• Bjarne Bartlett, CI-TRACS Data Science Fellow, The University of Hawai’i Cyberinfrastructure & Hawaii Data Science Institute

Hello everyone, and welcome to the FAIR Data Management Security and Ethics workshop.

Better research by better sharing

For many of us, data management or output sharing in general are considered a burden rather than a useful activity. Part of the problem is our bad timing and lack of planning.

Data management is a continuous process

Figure credits: Tomasz Zielinski and Andrés Romanowski from https://carpentries-incubator.github.io/fair-bio-practice/06-being-precise/index.html

When should you engage in data sharing and open practices?

• Data management should be done throughout the duration of your project.
• If you wait till the end, it will take a massive effort on your side and will be more of a burden than a benefit.
• Taking the time to do effective data management will help you understand your data better and make it easier to find when you need it (for example when you need to write a manuscript or a thesis!).
• All the practices that enable others to access and use your outcomes directly benefit you and your group

In this workshop we will discuss how your research outputs can be made readily available for re-use by others.

Key Points

• You can do more impactful research if you plan to share your outputs!

• You can more efficiently publish if you plan to share your outputs!