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Love Data Week PGH

♥ Pittsburgh loves data! ♥

Join us for Love Data Week 2021, February 8-12, for a full slate of workshops and presentations designed to help you work more effectively with your research data and code.

What is Love Data Week? It’s a time to celebrate working with and managing research data and code, brought to you by your friendly neighborhood data librarians.

Want to make it social media official? Follow #LoveDataPgh on Twitter!

This year, LabArchives, providers of the electronic lab notebook (ELN) software platform of the same name, are offering several free online events as well. Check out their listings if ELN software interests you.

Love Data Week at a glance

Date Events
Mon
2/8
Tues
2/9
Weds
2/10
Thurs
2/11
Fri
2/12

Monday, 2/8

12-1pm // hosted by the Carnegie Mellon University Libraries

Data visualization, or the techniques used to visually display or communicate data, is an obvious output of our research or data analysis. Being able to effectively communicate your data to an audience is a necessary part of any project. How to harness visualization tools to tell a story will be presented in this short workshop. We will discuss how different types of graphs and charts are perceived and how they can be used to answer different questions, as well as what aspects of graphs make for effective storytelling.

More info and RSVP: https://cmu.libcal.com/event/7395150

Introduction to Research Data Management

2-3 PM // hosted by the Health Sciences Library System @ The University of Pittsburgh

In this class, learn the fundamentals of keeping your data secure and organized through brief introductions to the core areas of data management: file storage and organization, file documentation, data preservation, and data publication and/or data sharing. This class is intended for graduate students and researchers who are working on long-term research projects, or for anyone who wants to make sure their personal files are safe for the long-term.

More info and RSVP: https://www.hsls.pitt.edu/instruction/introduction-research-data-management/3074

Tuesday, 2/9

Data Management in R (Pitt credentials required)

11 AM-12:30 PM // hosted by the Health Sciences Library System @ The University of Pittsburgh

This course will consist of a flipped classroom – a pre-recorded video and a hands-on workshop – which will cover the more advanced topics in R programming for data analysis and graphics. Upon completion participants will be able to: Import and export data; Merge datasets; Transform data; Create basic summaries of data

More info and RSVP (registration limited to the Pitt community only): https://www.hsls.pitt.edu/instruction/data-management-r/5515

Data Love Letters: How to Write a Data Management Plan for your Grant Proposal

1-2 PM // hosted by the University Library System @ The University of Pittsburgh

A data management plan is like a love letter to your data. Data management planning is important for funding, but it also sets you up for success with best practices—this Valentine’s Day, show future-you how much you care. In this online presentation, we’ll discuss the salient features of a data management plan, and what funders look for.

More info and RSVP: https://pitt.libcal.com/event/7347355

Wednesday, 2/10

Social Justice and Publicly Available Data

10-11 AM // hosted by the Health Sciences Library System @ The University of Pittsburgh

The health of a population is significantly influenced by the environment in which they live. This workshop will utilize publicly available data sources to provide a means by which we can examine the intersection of health with income, education, pollution, housing, and healthy/risky behaviors.

More information and RSVP: https://www.hsls.pitt.edu/instruction/social-justice-and-publicly-available-data/4997

Cleaning Untidy Data with OpenRefine

12-1pm // hosted by the Carnegie Mellon University Libraries

Tired of spending hours and hours cleaning messy data in Excel spreadsheets? Come learn OpenRefine, an easy-to-use, open source tool for data cleaning. OpenRefine (formerly Google Refine) helps you prepare your data for analysis. Quickly and easily transform data, split and merge columns, remove whitespace, and perform many more common data cleaning tasks. With OpenRefine, you can also easily create JSON scripts for repeating series of tasks across multiple datasets. No previous experience required.

More info and RSVP: https://cmu.libcal.com/event/7336588

Increase Your Data’s Discoverability with the Pitt Data Catalog

1:30-2:30 PM // hosted by the Health Sciences Library System @ The University of Pittsburgh

The Pitt Data Catalog (PDC) is a platform to help University of Pittsburgh health sciences researchers share and discover datasets, software, and code. This workshop will highlight how the catalog can be used to increase visibility of your research outputs and act as a low-barrier way to make data discoverable without the need to deposit into a data repository.

More info and RSVP: https://www.hsls.pitt.edu/instruction/increase-your-datas-discoverability-pitt-data-catalog/3707

Thursday, 2/11

Command Line Basics: Question Hour

12-1 PM // hosted by the Health Sciences Library System @ The University of Pittsburgh

Have questions about getting started with command line? Register to receive access to a pre-recorded video covering the basics of command line skills for data analysis and a practice dataset. Topics covered include: accessing Pitt Center for Research Computing clusters via Unix/Linux shell, transferring files using FileZilla, creating and managing files and directories, editing file using vi text editor, and accessing open source bioinformatics software. Attend the scheduled session to get answers to your questions and hear from others.

More info and RSVP: https://www.hsls.pitt.edu/instruction/command-line-basics-questions-hour/5434

Data Management for Qualitative Data

12-1pm // hosted by the Carnegie Mellon University Libraries

Research data management education provides guidance on how researchers can effectively manage their data to increase the scholarly impact from their research. However, guidelines for data management may vary significantly across domain areas. All domain areas engage with data in some manner, with the caveat that the physical form of these data may differ visually and structurally. Researchers specializing in qualitative data engage with many unique forms of data, including photographs, film, literature, ethnographies, and audiovisual materials, all with their own considerations for how to effectively manage them. This workshop will provide data management tips and tips specifically aimed at qualitative researchers from all levels (students, staff, and faculty), including how to clean data, develop file-naming schemes, and store your data securely.

More info and RSVP: https://cmu.libcal.com/event/7328485

Introduction to Glitch Art

2-3:30 PM // hosted by the University Library System @ The University of Pittsburgh

This online workshop will cover some of the various tools and techniques associated with the creation of Glitch Art. In addition, participants will be introduced to some of the history and conceptual theories surrounding glitch and Glitch Art.

More info and RSVP: https://pitt.libcal.com/event/7347410

Friday, 2/12

Mapping Geographic Data with Tableau

10-11 AM // hosted by the Health Sciences Library System @ The University of Pittsburgh

This workshop will provide an introduction to mapping and analyzing geographic data using Tableau.

More info and RSVP: https://www.hsls.pitt.edu/instruction/mapping-geographic-data-tableau/5435

…and what else?

We love data all year! This is just a small sampling of our workshops. Check out the upcoming events at these institutions:


LabArchives ELN events

Creating Templates to Standardize the Collection and Management of Data (30 minutes)

We recommend using templates in LabArchives to create a consistent entry format for documenting and tracking information. Once created, this form can be reused by all members of the notebook to provide consistency and a clear list of data requirements. Join this session to see examples of templates, how you can create your own, and reuse them.

Monday, February 8 10:00 a.m. EST / 3:00 p.m. GMT

Wednesday, February 10 3:00 p.m. EST / 12:00 p.m. PST

Register here for the session that works best with your schedule.

Best Practices and Tips for Establishing Your Notebook’s Structure (30 minutes)

The LabArchives Research Notebook begins as a blank slate that is meant to be flexible so that you can customize the structure to complement current workflows. Join this session for a closer look at how you can use our built-in layouts or set up a notebook using other popular structures including: project and grant-based, individual researcher-based notebooks, date-based, or team and company notebooks to manage shared materials for reference purposes.

Monday, February 8 3:00 p.m. EST / 12:00 p.m. PST

Tuesday, February 9 10:00 a.m. EST / 3:00 p.m. GMT

Register here for the session that works best with your schedule.

Open Office Hours and Drop-in Consults (60 minutes)

Bring your questions (big or small) to this session and meet directly with one of our team members. We will be available for quick screen shares for feature questions and demos, and to discuss best practices and tips that are most relevant to you. Drop-in any time during the hour to speak with us. Registration is required.

Not a good time for you? Remember that you can set up consults directly through our support team at support@labarchives.com.

Thursday, February 11 2:00 p.m. EST / 11:00 a.m. PST

Register here.


This page is a collaboration between folx at CMU Libraries, Pitt Health Sciences Library System, and Pitt University Library System.