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In this Newsletter:

* Research Management Summer Series
* The International Graduate Mentorship Program (IGMP) is calling for
mentors!
* Subscription Details

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* Research Management Summer Series *

Research Data Management – Summer Workshop Series

Interested in learning more about research data management? The Library
is pleased to announce a workshop series aimed at expanding your data
best practices. Starting on July 18th, we will host 6 data management
workshops exploring different stages of the research data lifecycle,
including data management planning, data cleaning, visualizing, storing,
sharing, and preserving. Please visit dartgo.org/data_management_workshops
for more information and to register to attend.



Tuesday, July 18, 2:00PM - 3:30PM
Data Management Planning with the DMPTool
Instructional Center, 37 Dewey Field Road

Data management plans are critical for compliance on most sponsored
projects. But what are the essentials of a fundable data management plan?
This workshop will cover the basics of data management planning, the top
10 things to consider when writing DMPs for grants, and use of the
DMPTool. This hands-on session will include time to work on your own DMP
using the DMPTool.
Presenter: Lora Leligdon, Physical Sciences Librarian

Thursday, July 20, 2:00PM - 3:30PM
Data Management with Excel
Instructional Center, 37 Dewey Field

Actively managing your research data is an important part of the
research data lifecycle and a critical component for compliance. In this
session, we will discuss best practices for data management in Excel,
along with tips on filenames, README files, and metadata.

Presenter: Pamela Bagley, Research and Education Librarian

Tuesday, July 25, 2:00PM - 3:30PM
Data Sharing and Preservation
Instructional Center, 37 Dewey Field

What happens to your data after the project is complete? What will you
do to ensure that your research data will be reusable by you or others
tomorrow, five years from now, even ten years from now? In this workshop,
we will discuss some practical strategies and best practices for
preserving and sharing your data.

Presenters: Pamela Bagley, Research and Education Librarian & Katie
Harding, Physical Sciences Librarian


Thursday, July 27, 2:00PM - 3:30PM
Research Data Storage on Campus and Beyond
Instructional Center, 37 Dewey Field

Dartmouth College offers a comprehensive set of storage solutions for
your research data. Storage comes in many models, each adapted to its
own use cases (OneDrive, Box, AFS, SMB, (no)SQL, etc.). During this
workshop, we will cover strategies, tools, and computational solutions
to ensure the availability, the safety and the security of your research
(input) datasets and results, and your documents. We will compare and
contrast online vs. on premise solutions, databases and directory-based
storage (file systems), personal and shared (lab) spaces.

Presenter: Christian Darabos, Research Computing Life Science
Informatics Specialist

Tuesday, August 1, 2:00PM - 3:30PM
Data Tidying and Visualization with OpenRefine and Tableau
Instructional Center, 37 Dewey Field

Cleaning, structuring, and visualizing data are important steps in the
research process, helping us to understand and share the data we have
collected. In this hands-on workshop, we will practice these skills by
tidying and visualizing "messy" datasets using the free tools OpenRefine
and Tableau Public. No prior experience with these tools is required.
Attendees are strongly encouraged to bring their own devices. We want to
get started right away, so please install the following on your device
prior to the workshop:
· OpenRefine (OpenRefine 2.7) (http://openrefine.org/download.html)
· Tableau Public (must provide email address) (https://public.tableau.com/s/)

Presenter: James Adams, Data and Visualization Librarian

Thursday, August 3, 2:00PM - 3:30PM
Data Tidying and Visualization with R
Instructional Center, 37 Dewey Field
Cleaning, structuring, and visualizing data are important steps in the
research process, helping us to understand and share the data we have
collected. In this hands-on workshop, we will practice these skills by
tidying and visualizing "messy" datasets using the free, open source
programming language R and the popular set of packages called the "tidyverse."
No prior experience with this language – or programming in general – is
required.
Attendees are strongly encouraged to bring their own devices. We want to
get started right away, so please install both of the following on your
device prior to the workshop:
· R (https://cran.cnr.berkeley.edu/)
· RStudio Desktop (Open Source License) (https://www.rstudio.com/products/rstudio/download/)

Presenter: James Adams, Data and Visualization Librarian





* The International Graduate Mentorship Program (IGMP) is calling for
mentors! *



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* Subscription Details *

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