Documenting DH: Christina Koch

Written by Laura Schmidt

Documenting DH is a project from the Digital Humanities Research Network (DHRN). It consists of a series of audio interviews with various humanities scholars and students around the University of Wisconsin-Madison campus. Each interviewee is given a chance to talk about how they view data, work with data, manage data, or teach data to others. Most recently, we interviewed Christina Koch, the Research Computing Facilitator at the University of Wisconsin’s Center for High Throughput Computing. Mainly working with scientists, she works with scholars who work with large-scale computational projects. Her interview is now accessible on the DHRN website.
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Link Roundup October 2017

In this series, members of the RDS team share links to research data related stories, resources, and news that caught their eye each month. Feel free to share your favorite stories with us on Twitter @UWMadRschSvcs!

Ann Engler

Giving careful consideration to the structure of your Excel spreadsheet can save you headaches later on.

Should data scientists have a formal code of conduct? What would it include, how would it be enforced, could it keep up with rapidly evolving technology? See the discussion here.

Here‘s an article about how LOD is helping art history research of Florentine painters.

CODATA.org’s blog has an ongoing series called “Humans of Data“. It’s presented as an art piece and features the international data research community thoughts on what they do and why. It’s an interesting read!

 

Cameron Cook

For those interested in Data Science and who like using R, there’s a free book “R for Data Science” available.

If you haven’t had a chance to attend a Data Carpentry event, here’s another great, easy to follow lesson on using OpenRefine by Miriam Posner.

If you’d like to improve your data visualization, watch “Tips for Presenting Data Effectively” by Stephanie Evergreen.

 

Tool: ATLAS.ti

Information adapted from ATLAS.ti website

What is ATLAS.ti?

ATLAS.ti is a software workbench that helps you perform qualitative analysis on large amounts of text, graphics, audio, or video. ATLAS.ti supports a wide range of data formats, including most common text formats (including .txt, .doc., .docx, and .pdf), “dozens” of graphic and audio formats including .wav and .mp3, and many common video formats. You can also import data from Twitter or Evernote, surveys, or a reference manager.

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October 2017 Brown Bag: Matthew Garcia

The Rebecca J. Holz Series in Research Data Management is a monthly lecture series hosted during the spring and fall academic semesters. Research Data Services invites speakers from a variety of disciplines to talk about their research or involvement with data.

On October 12th, Matthew Garcia, a PhD candidate in Forest Science with the Dept of Forest & Wildlife Ecology at UW-Madison, gave a talk entitled “The accurate data management plan (if such exists) in the presence of ‘Big Data'”. His slides are embedded below and are also available on the Research Data Services Speakerdeck page.

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Fall 2017 Holz Brown Bag Lineup

The Rebecca J. Holz Series in Research Data Management presents talks on various data-related topics. Each presentation is held in room 126 of Memorial Library from noon to 1:00 PM (bring your lunch!).

The next presentation is October 12, 2017. Matthew Garcia, Ph.D. Candidate, Forest Science, Dept. of Forest & Wildlife Ecology will present The accurate Data Management Plan (if such exists) in the presence of “Big Data”.

On November 15, Morton Ann Gernsbacher, Vilas Research Professor and Sir Frederic Bartlett Professor – UW-Madison will present Benefits of Open Data and Open Stimuli.

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Documenting DH: Alan Rubel

 

Written by Heather Wacha

Documenting DH is a project from the Digital Humanities Research Network (DHRN). It consists of a series of audio interviews with various humanities scholars and students around the University of Wisconsin-Madison campus. Each interviewee is given a chance to talk about how they view data, work with data, manage data, or teach data to others.  Most recently, we interviewed Alan Rubel, an assistant professor in the iSchool and Legal Studies Program at the University of Wisconsin-Madison. He is also an affiliate of the UW Law School. His research focuses on privacy issues that arise in specific data collection and management practices, as well as the ethical dimension of digital humanities projects as a whole. His interview is now accessible on the DHRN website.
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Link Roundup September 2017

In this series, members of the RDS team share links to research data related stories, resources, and news that caught their eye each month. Feel free to share your favorite stories with us on Twitter @UWMadRschSvcs!

Ann Engler

Encouraging data sharing in journal policies shows promising results.

Can you balance open data and human subject privacy? This author says yes.

One journal no longer accepts “data available by contacting the author”. Read why they made the change here.

 

Cameron Cook

Here at RDS, we suggest that you use UW-Madison versions of certain cloud services while at the university. If you’ve ever wondered about the difference in those tools, DoIT has released a great chart comparing the UW-Madison versions of Box, Google Drive, and OneDrive.

A data sharing win – “Open data from the Large Hadron Collider sparks new discovery

Mattie Burkert, who spoke at our September 2015 brown bag about this project, recently published “Recovering the London Stage Information Bank: Lessons from an Early Humanities Computing Project“.