Class Type: Data Science

R for Genomics

This workshop, presented by Pitt CRC consultant Fangping Mu, will introduce the R and Bioconductor environment on the HTC cluster. The hands-on session will use Rstudio server on Open Ondemand.

Please bring a laptop to this session.

Register here:  https://crc.pitt.edu/spring19workshop

Discover Data & Peruse Preprints with Europe PMC

HSLS Coffee breaks are 30-minute classes on a focused topic.  Coffee will be provided. You already conduct literature searches with PubMed and read free full-text articles from PubMed Central (PMC), so why try Europe PMC? Quite simply, because your current search strategy might not be finding all of the relevant information.  This Coffee Break will focus on two specific features of Europe PMC: (1) preprint searching and (2) direct linking within articles to public gene, protein, and chemical compound databases.

File Naming Best Practices

HSLS Coffee breaks are 30-minute classes on a focused topic.  Coffee will be provided. “What's in a name?”  When you create a new file, do you give much thought to the name you save it as? This coffee break focuses on best practices for naming files so that they are easily found, understood, and sharable in the future.

Create Biological Diagrams with ePath3D

HSLS Coffee breaks are 30-minute classes on a focused topic.  Coffee will be provided.  This coffee break focuses on the easy creation of publication-ready scientific illustrations using a drag-and-drop, web-based, HSLS-licensed software--ePath3D.

Excel Techniques for Data Visualization

Microsoft Excel is a commonly used program to record and store datasets with headings, rows, and columns. In this class, we will look at transforming that data into summary tables and charts. You will work through data examples to create pivot tables and pivot charts, apply conditional formatting to your tables and sheets, and prepare your figures for use in other programs.

Data Sharing

Many funders, publishers, and institutions require researchers to make their research data public, but practical challenges can act as a barrier to sharing data, especially in the health sciences. This hands-on workshop will guide participants through the data sharing process, from initial study design to data deposit. Exercises will prompt participants to think through issues of data documentation, reuse value, and promotion of their own research projects.

Box for Storing and Sharing Research Data

Your Pitt Box account provides unlimited online/cloud storage and allows individual files, up to 15 GB, to be uploaded. In this class you will learn how to access your Box account, upload files, streamline your workflow with Box Drive, share files and folders (with or without password protection), plus more.

This class is designed for people who have a regular Pitt account as a University student, faculty, or staff member. Those without a Pitt account will not be able to participate in class exercises.

Access to your Pitt account is through Pitt Passport, which requires multifactor authentication (MA) when logging in. If you have already set up MA, bring your mobile device with the Duo app installed to class. If you haven't set up MA, please do so before arriving at class and bring your mobile with Duo installed. For instructions, see http://technology.pitt.edu/node/2703 or call 412-624-HELP. 

Note: Cellular reception is not always available in the library.  If you use a phone with only basic features (NOT a smartphone) please request a hardware token before coming to class.   

Introduction to the Pitt Data Catalog

Have you shared your data in an open-access repository or to accompany a publication? Are you interested in sharing data with potential collaborators, but you need to maintain control over who can access it? Come share your experiences in this drop-in session and learn about a new data-discovery platform from the Pitt HSLS team that can help you increase the visibility of your datasets without necessarily making them public.

Electronic Research Notebooks: Introduction to LabArchives

This workshop will focus on LabArchives, the Electronic Research Notebook selected by the University of Pittsburgh. We will cover how to get started using it, including planning strategies, access, lab notebook creation and organization, adding and editing entries, linking, and sharing data.

This class is designed for people who have a regular Pitt account as a University student, faculty, or staff member. Those without a Pitt account will not be able to participate in class exercises.

Access to your Pitt account is through Pitt Passport, which requires multifactor authentication (MA) when logging in. If you have already set up MA, bring your mobile device with the Duo app installed to class. If you haven't set up MA, please do so before arriving at class and bring your mobile with Duo installed. For instructions, see http://technology.pitt.edu/node/2703 or call 412-624-HELP.

Bioinformatics Data Analysis: Options 4 Rigor

Do you have data that require bioinformatics analysis?  Are you concerned about scientific rigor and reproducibility? Come learn about the “4 C’s” available to Pitt researchers: Core facilities, Collaboration with bioinformaticians, Coding, and Commercially-licensed tools.  Make an informed decision on the best option(s) for your data needs.