Research Data Management - Workshop Series

Upcoming Workshops

Research Data Management - Workshop Series
Efficient, effective, and enduring data management for the TAMU community.

The University Libraries offer workshops on a variety of research data management topics that provide best practices for all disciplines. Attendance at these workshops fulfill requirements for the G.R.A.D. Aggies Certificate Program and the Responsible Conduct of Research Supplemental Training ProgramAll workshops are online via Zoom.

Texas A&M University Libraries strives to provide equitable and accessible programming to all. If you need an accommodation to ensure your ability to participate, please see the event registration page for accommodation request information.

Workshop Tracks

Research often includes personal, sensitive, or restricted data that must be handled with consideration to legal requirements or to protect personal privacy. In this workshop we will examine common sensitive data types, how Texas A&M’s Research Compliance and Biosafety program expects you to protect that data throughout your project’s lifecycle and the resources available to you for sensitive data storage and analysis, data de-identification, and data archiving and sharing.

Audience: 

This workshop is most helpful for faculty, staff, and students who engage in research with restricted or sensitive data.

Register:

Tuesday, October 25 | 12:30 p.m. – 1:30 p.m.

Attendees will learn the principles of data management with some real data samples by:

  • Discovering and downloading a publicly available data set
  • Analyzing the dataset for attributes of well-managed data
  • Scoring a Data Management Plan for qualities of well-curated research data

Audience: 

This workshop is helpful for researchers in any discipline and stage in their career.

Register:

Monday, October 17 | 9:00 a.m. – 10:00 a.m.

This workshop on the CARE Indigenous Data Governance principles is intended to introduce attendees to the concept of equitable data governance with Indigenous research. Attendees will be able to identify Indigenous data and discuss the role of data governance in a research project. Case studies will be discussed to analyze the concepts in practice.

Audience: 

This workshop is helpful for researchers in any discipline and stage in their career.

Register:

Friday, September 23 | 12:00 p.m. – 1:00 p.m.

Sound data management practices can ensure long-term usability of your data, increase your productivity, and promote collaboration. This interactive workshop will teach you how to think about your data so that you can manage it more easily throughout your research process. We will cover best practices for workflows, file management, documentation, storage, and preservation.

Audience: 

This workshop is helpful for researchers in any discipline and stage in their career. Attendees currently planning or conducting research will benefit most from this workshop.

Register:

Thursday, September 22 | 12:30 p.m. – 1:30 p.m.

Publishing research data is more than uploading a few spreadsheets and a readme file, but it doesn’t have to be intimidating either. This workshop demonstrates tools to locate common data collection standards, reviews funder and publisher data sharing requirements and suggests criteria to evaluate repositories for preserving or sharing your research data.

Audience: 

This workshop is helpful for anyone who works with research data. Those currently planning or conducting research who are already familiar with research data management or have attended Managing Research Data: A Guide to Good Practice will benefit most from this learning experience.

Register:

Tuesday, October 11 | 12:30 p.m. – 1:30 p.m.

Researchers are often required by journals and funders to publish research data. The University Libraries provides access to the Texas Data Repository; a platform for publishing and archiving datasets created by Texas A&M faculty, staff, and students. This workshop will introduce participants to FAIR Data Principles, share how to select a data repository, and demonstrate how to publish data in the Texas Data Repository.

Audience: 

This workshop is most helpful for faculty, staff, students who plan to publish research data.

Register:

Thursday, October 6 | 12:00 p.m. – 1:00 p.m.

Tuesday, October 25 | 3:00 p.m. – 4:00 p.m.

Researchers are a community, and research integrity is a primary community principle. In this workshop, we will explore how research integrity translates to data. Attendees will be able to accurately define research data integrity and identify specific issues regarding data fabrication and falsification. Through case study analysis and discussion, attendees will describe and appraise the merits of their responses to issues of data fabrication and falsification in research.

Audience: 

This workshop is targeted at early-stage researchers, faculty or graduate students, or anyone interested in research integrity.

Register:

Thursday, December 1 | 4:00 p.m. – 5:00 p.m.

Learning how to structure data is an important skill when starting to work with computing and analyzation of data in biology. Learn the fundamentals of good data entry practices, learn how to avoid common formatting problems, learn how to approach date entry, and learn basic quality control and data manipulation techniques. Finally, learn to export your data so that you can manipulate this content with other programming systems. Learning these skills will help prepare you for future skills needed when applying more advanced lessons such as SQL data management and visualization using R and Python.This is part of the Data Carpentries curriculum.

Audience: 

This workshop is targeted at early-stage researchers, undergraduate and graduate students studying biology and particularly Ecology.

Register:

Thursday, October 13 | 2:00 p.m. – 3:30 p.m.

Databases are useful for storing and using data. SQL is a relational database that can help you process your data while keeping your analysis and data separate.  Learn to query data, aggregate and group data, and combine data together from multiple tables.  This workshop assumes no prior knowledge of SQL programming. Consider taking advantage of Data Spreadsheets before registering for this workshop. This is part of the Data Carpentries curriculum.

Audience: 

This workshop is targeted at early-stage researchers, undergraduate and graduate students studying biology and particularly Ecology.

Register:

Thursday, November 3 | 2:00 p.m. – 3:30 p.m.