Workshops and Education

This class is designed for new Research Electronic Data Capture or REDCap users and those interested in learning the basic elements of REDCap project creation. In this class students will learn: 1.) What is REDCap and who to contact to get started with project creation 2.) Basic terminology and how to navigate the REDCap interface 3.) How to start/set-up a REDCap project 4.) Basic data entry and report building. Please note: This is a beginner class that will offer students the opportunity to observe the development of a REDCap project.

This class is designed to acclimate new users of Research Electronic Data Capture or REDCap to features of the tool. The advanced class is an extension of our REDCap for Beginners class, and will encourage students to participate in hands-on activities using REDCap. Students will be able to help design and set up studies while learning many of the tools and features of REDCap. Some of what will be covered includes the following: 1.) The Basics of REDCap 2.) How to distribute a survey using REDCap 3.) How to analyze, import and export data using REDCap 4.) How to set up a longitudinal study in REDCap 5.) How to assign user rights. Please be aware that a REDCap training account will be created for you to use in class when you sign up. In order to get the most out of the class, we highly encourage you to sign-up in advance if you plan to take the class.

In this workshop, participants will be using R to perform different statistical analyses on given data and understand when to choose a statistical analysis for answering a type of research question. All programming codes in R along with dummy medical record data will be provided for demonstration during this workshop. Some basic statistical analyses that will be covered include one sample t-test, two-sample t-test, and different types of regression. At the end of both workshops participants will gain a practical experience of using R programming for Data Analysis.

This interactive and hands-on workshop will address universal data management best practices. While much of the focus is on STEM fields, this course will be useful for anyone interested in learning more about data management practices and principles.

This workshop is a hands-on, practical approach to ensure your digital data is accessible whenever you need it.  Participants will work collaboratively with the instructor to prepare a digital image dataset for long term storage in a digital repository.  The skills learned in this workshop should be transferrable to any discipline and participants are encouraged to compare to their own projects and datasets.  This workshop will demonstrate the process of describing and documenting data and explore library and open source tools and resources available to assist researchers in this process. 

R, a statistical software, will help you analyze data and create graphs. In this workshop, participants will be introduced to the basic R function including installing package, importing and exporting data, and creating plots and graphs. This workshop will also provide the procedure to choose the fit analyzing method for the data and demonstrate exploratory data analysis.

Learn tools and tips to maximize your personal research impact factor and understand the difference between journal impact factors and your own. Maximizing your personal research impact can help you in your career especially when you come up for promotion and tenure.  In this workshop, we will discuss the difference between journal impact factor and researcher impact factor.  We will explore how publishers measure a publication’s impact factor and a researcher’s through indexes such Eigen-factors and H-index.  We will also discuss how publishers collect social media data for a real time assessment of your personal research impact.  

Managing your data has many benefits.  And more and more funding agencies are requiring it.  Learn how to save time and increase your research efficiency as well as preserve your data and facilitate new discoveries with these top 10 Data Management tips.

Want to work with ARCGIS but are not sure where to start?  This workshop is for individuals who want to visualize spatial patterns in data but have no experience with geographic information system (GIS) software or who want to learn about resources available to the UC community through UC Libraries and the Department of Geography.  Workshop instructors will guide participants as they create a GIS using the software ARCGIS to geocode a dataset and create a map providing further insight into the data. 

• Workshop 1 - Data Generation and Collection

This hands-on workshop will cover topics such as:  types and formats of data, file naming conventions, Readme files, data templates, metadata, and roles and responsibilities with data.

• Workshop 2 -Working with data

A hands-on workshop that covers topics such as data versioning, data backup, and UC’s new Box system (unlimited storage!).

• Workshop 3: Data Preservation and Sharing

This hands-on, interactive workshop covers important aspects of data at UC and beyond including policies at the University and national levels,  copyright and data, and how UC’s systems (Scholar@UC, Research Directory)  integrate and use data.

Spreadsheets are a great way to organize and analyze data.  In this hands on workshop focused on research data, attendees will work with a data set in tabular format and improve the machine readability and function of the spreadsheet through implementing best practices for spreadsheets.  Principles taught in the workshop can apply to any spreadsheet generating program like Libre Office or Excel. 

This class is designed for researchers who regularly use NCBI and its associated databases as well as for those looking for more detailed instruction on NIH Biosketch design using SciENcv. The first part of the workshop will provide hands on instruction of many of the features of MyNCBI while the second half of the workshop will discuss recent NIH Biosketch changes and instruct participants on how to design a NIH Biosketch using SciENcv.

In this workshop researchers will learn to navigate the bioinformatics tools Ensembl and Cytoscape to discover information about genes, gene variants, proteins, biological pathways, comparative genomics, molecular interactions, and phenotypes associated with disease.

This workshop is designed for both researchers and clinicians who are looking to identify NCBI resources for research, clinical and educational purposes. Participants will learn about NCBI, NCBI’s “Information Hubs”, and NCBI’s experimental databases. The bulk of the workshop will involve an interactive hands on demonstration of a case study where participants will assist in the diagnosis of a genetic condition, identify genetic tests for disease confirmation, and help determine of the molecular etiology of the disease all while using NCBI resources. Many of the resources used for the demonstration are new or often over looked resources that are highly useful to the basic, translational and clinical research communities.