Open Science Newsletter: July 2022

Happy Summer, All! We have some exciting news and updates to share as we swing into the summer months. Our team has recently undergone a few changes since the last newsletter. We welcomed two new additions to the team, Chasz Griego and Lencia Beltran (scroll down to learn more about them), and bid a sad but optimistic farewell to wonderful colleagues Hannah Gunderman and Neelam Bharti. Fortunately for us, Neelam Bharti did not travel very far. Neelam accepted the position as Carnegie Mellon’s Library Associate Dean for Research, and Hannah Gunderman has transitioned to Lumi Interactive where she is sharing her wealth of knowledge.

In this issue: 

  1. Recent updates with NIH Data Management and Sharing Policies and resources 

  2. MiniSeries and Workshops

  3. Meet our newest Open Science and Data Collaboration team members, Chasz Griego and Lencia Beltran

Please contact us at if you have any questions and follow us on social media at #CMUOpenScience.

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Stay In The Loop!

NIH Data Management and Sharing Policies 

This new mandate has already raised a good deal of discussion among the research community regarding the changes and what they entail for researchers. 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). Lisa Federer from the National Library of Medicine provided an overview of the policy, its main elements, and how compliance is monitored.  She also provided practical guidance on how to choose a data repository. Kat Milligan-McClellan shared her experience of sharing and managing complex gut-microbial data from a researcher’s perspective and her perception on how the new mandate will affect her research. Tobin Magle from Northwestern University offered useful advice on how research support staff could help researchers meet the new mandate. 

To learn more about the new Data Management & Sharing Policy, you can find the entire policy overview and a list of which types of research projects fall under NIH’s Data Management and Sharing Policy, including how NIH is handling the sharing of proprietary data here

CMU Libraries' institutional repository, KiltHub, is an excellent place for researchers to deposit, share and access scholarly research. Click here to access guides for using KiltHub and learn more about its many benefits.  

  1. DMPTool 


  3. NIH Strides Initiatives


Upcoming Discussions on NIH Mandate

The NNLM National Center for Data Services will be holding a "Community Discussion" about the upcoming NIH Data Management and Sharing Plan Requirements on July 20th from 1-2pm EDT. 

As opposed to a traditional webinar format, the Community Discussion session will consist of: 

  • 3-5 minute presentations on the chosen questions about ongoing challenges preparing for the new policy, and 

  • An interactive discussion sessions with presenters and participants after each presentation 

NNLM is seeking discussion questions from the data community and if your question is selected, you will be asked to do a brief (3–5 minute) presentation on your question during this event. Presenters will receive a $50 gift card! 

To participate, submit your questions about the NIH DMSP Requirements, especially questions that may apply to others as well. Question submissions are due July 10, 2022 at 11:59 PM Eastern.

You can register for this community discussion here:


Please contact us at if you have any questions

1. Ferder, L. (2022). Introduction to NIH Data Management and Sharing Policy [PowerPoint slides].


We are currently in the planning stages of upcoming workshops and will have more to share in the following newsletters. So stay tuned! In the interim, if you are looking for ways to stay current on your open science skills, then look no further! We have data and open science-themed MiniSeries workshops! You can see the complete list of all our MiniSeries offerings on the OSDC MiniSeries: Reproducible Research website and find recordings of some of these workshops on CMU Libraries YouTube Tutorials and Workshops playlist.  We’ve also highlighted them below (each title is a clickable link which will take you to the course curriculum page):

Cleaning Untidy Data with OpenRefine

OpenRefine is a free, open source tool to help 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.

Introduction to R

This 3-hour course was designed for those interested in working with data in R. It begins with basic information about R syntax and the RStudio interface, and moves through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, and how to calculate summary statistics from a data frame.

Data Visualization with R

This 2-hour course teaches students to create customized data visualizations in R. Using the ggplot2 package, students will produce plots, histograms, density distribution, and other useful visualizations to bring their data to life.


Introducing Chasz Griego and Lencia Beltran, our newest OSDC members

This month, we have the pleasure of welcoming two new members to the OSDC team, Chasz Griego and Lencia Beltran. Chasz is joining us from the University of Pittsburgh and Lencia is joining us from the University of North Carolina, Wilmington. We’re thrilled to have them on as part of the team! 


In this issue, we’ve asked both Chasz and Lencia to introduce themselves and share a little bit about what most excites them about open science.


Hi! My name is Chasz Griego and I’m the new Open Science Postdoctoral Associate at the CMU libraries. Previously, I was at the University of Pittsburgh completing my PhD in Chemical Engineering, where I analyzed models to screen catalyst materials using computational chemistry coupled with machine learning. The pride of my research was the open source software and tutorials I created to help my peers use and understand my models with the help of accessible data from publications. I’m very excited to be joining the OSDC so that I can contribute to Open Science beyond the scope of one project, and instead, contribute to the entire CMU community by teaching best practices with Open Science tools and studying how these tools promote more accessible and reproducible science.

Hi Everyone, my name is Lencia Beltran! I am the New Open Science Project Coordinator for the Open Science Data Collaborations (OSDC) Program at CMU Libraries. I am coming from the University of North Carolina Wilmington, where I worked as the Special Collections Archivist. I completed my Masters in Library and Information Science from Emporia State University. I am a 2021, Institute for Museum and Library Services (IMLS), Drexel University LIS Education and Data Integrated Networked Group (LEADING) Fellow. I am collaborating with colleagues from the Advanced Information Collaboratory, U. Maryland, to process, analyze, and model big data to learn more about the Japanese American World War II experience. Thus far, our projects have resulted in three published interactive Jupyter Notebooks that are accessible to the public. I am thrilled to be part of the OSDC team;  contribute my experiences and ideas, and support Open Science services in all areas, including working with our community towards shared goals so we will be stewards in open scholarly research.

Interested in Open Science?? Join the Advisory Board!

As the new academic year fast approaches, we are looking to recruit 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