Open Science Newsletter: August 2022

It’s hard to believe the Fall semester is nearly upon us! As the new academic year ushers us all in we (the OSDC team) have been busy gearing up for this semester and putting together a myriad of exciting opportunities for folks to get involved in! Join us in our workshops and learn about several open science themed topics like data management and the FAIR guiding principles, data cleaning and preprocessing with OpenRefine, academic publishing models, and come build your very own website with GitPages! 

 

Scroll down for more information on: 

  1. Upcoming Fall Workshops & Carpentries Workshops

  2. Call for OSDC Advisory Board Members

  3. Open Data Science Conference 

  4. One-Minute Recap of the July Issue 

 

Please contact us at openscience@andrew.cmu.edu if you have any questions and follow us on social media at #CMUOpenScience.

 

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Fall Workshops

We are excited to announce a few of our upcoming open-science-related workshops for this Fall and invite anyone and everyone to check out and sign up for one or more of them!

 

The workshops we currently have on the books include:

  • Introduction to Research Data Management and Data Management Plans—Sign up here!Found on https://www.fosteropenscience.eu/learning/assessing-the-fairness-of-data 

Who: Led by Emily Bongiovanni 

When: Tuesday, September 20, 2022; 10:00am - 11:00am (in-person)

Where: Sorrells Library, Den

This workshop will introduce the FAIR data principles (Findable, Accessible, Interoperable, and Reusable) and research data management plans.
 

  • Cleaning Untidy Data with OpenRefine—Sign up here!

Who: Led by Sarah Young

When: Thursday, October 13, 2022; 12:00pm - 2:00pm (in-person)

Where: Sorrells Library, Den

This workshop will introduce OpenRefine and its plethora of data preprocessing and analysis features. Attendees will learn how to quickly and easily transform data, split and merge columns, and remove whitespace, among many other common data cleaning tasks. OpenRefine, also makes it straightforward to create JSON scripts for repeating a series of tasks across multiple datasets.
 

  • Introduction to Academic Publishing Process and Models—Sign up here!

Who: Led by Emily Bongiovanni

When: Thursday, November 10, 2022; 12:00pm - 1:00pm (in-person)

Where: Sorrells Library, Den

This workshop will introduce academic publishing models, including Open Access models, and the publishing process of a scholarly work, including the peer-review process.
 

  • Creating Websites and Portfolios with GitPages—Sign up here!

Who: Led by Sarah Young and Chasz Griego

When: Thursday, December 1, 2022; 12:00pm - 1:30pm (in-person)

Where: Sorrells Library, Den

In this workshop, we'll introduce you to GitPages, a free platform for hosting simple websites and showcasing your work to potential employers and clients. We'll provide hands-on experience with Git and Github to set up a GitPage website using Jekyll, a website generator that uses markdown or HTML and offers several templates to choose from to create a static website. No prior knowledge or experience with Git, GitHub, or GitPages is required. Please bring a laptop with you to the workshop.
 

  • Introduction to R Part 1—Sign up here!

Who: Led by Sarah Young 

When: Tuesday, Nov 22, 2022; 10:00am - 11:30am (in-person)

Where: Sorrells Library, Den

This is Part 1 of the 2-part introductory workshop that aims to teach basic concepts, skills, and tools for working with data in R so that you can get more done in less time, and apply concepts of reproducibility to your research. This is an introduction to R designed for participants with no programming experience. Part 1 of the workshop covers basic information about R syntax and the RStudio interface, including installing packages and working with vectors. 
 

  • Introduction to R Part 2—Sign up here!

Who: Led by Sarah Young 

When: Tuesday, November 29, 2022; 10:00am - 11:30am  (in-person)

Where: Sorrells Library, Den

This is Part 2 of the 2-part introductory workshop that aims to teach basic concepts, skills, and tools for working with data in R so that you can get more done in less time, and apply concepts of reproducibility to your research. This is an introduction to R designed for participants with no programming experience. Part 2 will cover importing CSV files, working with dataframes, how to deal with factors, how to add/remove rows and columns using the popular dplyr package, and how to calculate summary statistics from a data frame.

 

 

Sneak Peak: 

Upcoming Fall Carpentries Workshops: 

Open registration for these upcoming Carpentries Workshops will be available in the next several weeks! These workshops will be held virtually and are intended for novices or experts seeking a refresher. More details will follow soon, so be sure to check back!

 

Software Carpentry Workshop: Python, Git, & Shell

Aim: Introduce Shell and Git and teach researchers how to automate tasks with python

Topics include: 

  • How to automate tasks with Unix Shell, this includes learning about Pipes and Redirections, looping over files, creating and running Shell scripts, finding things, and more

  • How to create a repository, version control with Git, viewing changes, working on the Web, resolving conflicts, among other 

Who: Anyone who is getting started with coding and would like to learn about Python, Git and Shell are welcome to attend. You don't need to have any previous knowledge of the tools that will be presented at the workshop. For those new to coding this is an excellent way to get hands-on experience with coding in a welcoming environment!

Requirements: Participants must have access to a computer with a Mac, Linux, or Windows OS (not a tablet, Chromebook, etc.

 

Data Carpentry Workshop: R and OpenRefine

Aim:  Teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.

Topics include: 

  • Basic information about R syntax, the RStudio Interface, this includes exploring data frames and structures, learning dataframe manipulations using R libraries, and more. 

  • How to use OpenRefine for data management, data cleaning, and an introduction to data analysis and visualization using social science data examples.  

Who: Beginner coders and anyone who would like to learn about R and OpenRefine. This workshop is designed so that you don't need to have any previous knowledge of the tools that will be presented. This is a hands-on workshop where you will get an opportunity to code in a friendly and welcoming environment, so come and join the fun!

Requirements: Participants must have access to a computer with a Mac, Linux, or Windows OS (not a tablet, Chromebook, etc.)

 

 

Open Science News & Opportunities

Below you’ll find the latest news and opportunities in open science. 

Join the Open Science Data Collaborations (OSDC) Advisory Board!

OSDC @ CMU is recruiting interested individuals to serve on the Open Science Advisory Board. If this is of interest to you or has been in the past, please consider filling out this short form
 

Open Data Science Conference 

The Open Data Science Conference (ODSC)--not to get confused with CMU Library’s Open Science Data Collaboration (OSDC) Program!– is holding a virtual data science conference on September 7-8, 2022.  

The Open Data Science Conference is a global data community open to anyone with an interest in data, contributing to innovative ideas and the growth of open source applications. You can find more registration information here

 

One Minute Recap - July Issue

NIH Data Management and Sharing Policies 

NIH recently updated its policy around data management and sharing. Currently, there are two separate protocols, one for applications for receipt dates before January 25, 2023, and another for applications for receipt dates on/after January 25, 2023. 

In June, the Campus Research and Computing Consortium (CaRCC) held a Researcher Facing workshop addressing aspects of the new NIH mandate (click to access the full recording and the documents). 

 

Learn Data Science At Your Own Pace: MiniSeries Workshops 

Freshen up your data skills by checking out our data and open science-themed MiniSeries workshops! A complete list of all our MiniSeries offerings is on the OSDC MiniSeries: Reproducible Research website and you can also find recordings of some of these workshops on the CMU Libraries YouTube Tutorials and Workshops playlist.