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Introduction to Data Management Best Practices for SIO

July 23 & 30, 2021

10:00 am - 12:00 pm

Instructors: Stephanie Labou (Library), Reid Otsuji (Library), Mary Linn Bergstrom (Library), Steve Diggs (SIO), Kimberly Thomas (RITS), David Minor (Library)

Helpers: N/A

General Information

This is the website for the Data Management Best Practices for SIO short 2 day course focusing on basic data management best practices for research projects. This workshop will introduce you to best practices for data management, preparation and representation of your research data.

Who: The course is for SIO students. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Zoom Meeting. Zoom - link will be sent to registered attendees

Requirements: Participants must bring a laptop with a few specific software packages installed (listed below).

Contact: Please mail, for more information.

Need help?:

Credits: The course materials are adpated from previous Library and SIO Data Management lectures, 23-Research Data Things. Many thanks to the authors of those lessons.


Date Class Topics
July 23 Lecture Intro to Basic Data Management (Lecture), Data Management Planning, Data Handling, "FAIRness", Hands-on lesson
July 30 Discussion Hands-on lesson, Cont. discussion about Data Management best practices, library resources

We will use this HackMD for collaborative notes, sharing URLs and bits of code.



Data Management Best Practices

  • TIER Protocol - A defined protocol for structuring and managing code, data and output of your researcher
  • 23-Research-Data-Things - 23 (research data) Things is a self-guided training concept for anybody interested in data.
  • RDCP - Library unit who can help you with your research data needs
  • Workflow for Data Analysis using Stata by Scott Long - A book that has informed many efforts to produce reproducible workflows in Stata