Fair Data Management Security and Ethics

This workshop focuses on introducing FAIR data management practices – FAIR stands for Findability, Accessibility, Interoperability, and Reusability. Attendees will learn how to incorporate these concepts into data management, additionally the seminar will address data security and ethics. Attendee will learn about FAIR data and practice these concepts using Hydroshare and some other FAIR data tools.

To get the most out of this worskshop attendees should:

Have a web browser
Have a Hydroshare account

Presenters Today:

Sean Cleveland Ph.D. - Cyberinfrastructure Research Scientist - Information Technology Services - University of Hawaii - System
Bjarne Bartlett - HI-DSI Data Science Fellow - Molecular Biosciences & Bioengineering - University of Hawaii - Manoa

Acknowledgements:

Some of the materials presented today have been derived from other workhsop efforts in FAIR:

FAIR in (biological) practice - https://carpentries-incubator.github.io/fair-bio-practice/
FAIR data for climate sciences - https://esciencecenter-digital-skills.github.io/Lesson-FAIR-Data-Climate/

Funding provided by:

CyberInsfrastructure TRaining to Advance Climate Science (CI-TRACS) NSF #2118222

Schedule

	Setup	Setup account on Hydroshare
00:00	1. Introduction	Who are we and what are we going to learn?
00:08	2. Open Science	What is Open Science? How can I benefit from Open Science? Why has Open Science become a hot topic?
00:20	3. Intellectual Property, Licensing, and Openness	What is intellectual property? Why should I consider IP in Open Science?
00:30	4. FAIR Introduction	What are the FAIR principles? Why should I care to be FAIR? How do I get started?
00:35	5. Findable	What is a persistent identifier or PID? What types of PIDs are there?
00:45	6. Accessible	What is a protocol? What types of protocol are FAIR?
00:55	7. Interoperable	What does interoperability mean? What is a controlled vocabulary, a metadata schema and linked data? How do I describe data so that humans and computers can understand?
01:03	8. Reusable	What makes data reusable?
01:11	9. Metadata	What is metadata? What do we use metadata for?
01:33	10. Public repositories	Where can I deposit datasets? What are general data repositories? How to find a repository?
01:43	11. Exercises	What makes this dataset FAIR?
01:53	12. Ethics	What ethical considerations are there when making data public?
02:01	13. Security	What measures will you take to secure your data?
02:09	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.