Category: Data

Thank You to Our Spring 2024 DataLab Participants

Submitted By Samah Alshrief, Research Data Specialist

The DataLab is a collaborative space where faculty, students and the library explore the vast potential of data-driven insights. University Libraries Data Services would like to thank the faculty members below for providing research opportunities for undergraduates this semester.  Thank you to our DataLab students for your participation and engagement. Read more here.

Student Student Major Research Project Title Faculty Department
Emily Barbera Health Administration Segregation and pregnancy outcomes Patrick Bernet Interprofessional Health Sciences and Health Admin.
Leah Chatmon Psychology International Competences for Undergraduate Psychology Susan Nolan Psychology
Jake Lidwin Biology Specialization Pressure and Resource Limitation as Drivers of Mating Type Differentiation Jason Bundy Biology
Iain Morton Physics and Math (Double Major) Bridging the gap between standard jamming and the mean field theory of glasses Peter Morse Physics
Frank Pettorini Health Administration Data visualization tools to help improve pregnancy outcomes Patrick Bernet Interprofessional Health Sciences and Health Admin.
Brysen Pfingsten Computer Science Visualizing Search Tree Configuration and Usage in miniKanren Queries Jason Hemann Mathematics and Computer Science

Contact data.services@shu.edu with questions.

 

 

Check out Statista!

If you are interested in finding statistics and catchy infographics, Statista is a great option! With Statista, you can find statistical data on over 80,000 topics from 22,500 sources. You can easily download charts and infographics as PPT, PDF, PNG, and CSV. Look at this interesting infographic about Meta’s Reality Labs division, losing billions of dollars. And Statista content is continuously updated by their expert staff. Statista is available from University Libraries, please check it out when you have a chance.Bar graph displaying the operating loss of Meta's Reality Labs division

Celebrate Love Data Week 2022

Seton Hall University Libraries’ Data Services Group is excited to invite the SHU Community to the 5th Annual Love Data Week 2022, an international celebration of data, aiming to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services.

SHU hosted events will take place on February 15th and 16th. View all the upcoming events here. To see a list of other related events that will be occurring all week across the globe, check out the host’s Inter-University Consortium for Political and Social Research (ICPSR) here.

This year’s LDW theme at SHU is “Data is For Everyone,” a look at the people side of data, the shape of data in different disciplines, and the biases of who is and isn’t included in or represented by data. Event topics include data lakes and unstructured data for business intelligence, data ethics, data in finance, and a demonstration of an interactive map of Seton Hall’s collections of donated and archived materials and artifacts.

Of special note is our workshop at the IHS library about the scope of Research Data Services offered by University Libraries, including how to create a data management plan and data storage options with University Libraries. This offering will help students, faculty, and administrators to manage, analyze, and visualize data.

Be sure to follow along with Love Data Week online at #LoveData22

Faculty who are unable to attend these sessions can have them delivered during scheduled class time for their students. Make arrangements through your liaison librarian.

Join a session (or a few!) and get connected.

The registration links can be found at the following:

For more information, please contact data.services@shu.edu.

This article was written by Michael Murphy, intern, Spring 2022.

ICPSR Data Fair September 21-25

Join ICPSR Data Fair running September 21-25

The Seton Hall Community is invited to the Inter-University Consortium for Political and Social Research’s Data Fair, “Data In Real Life.” With all the unexpected twists and turns of 2020, the ICPSR Data Fair will provide a data lens on timely topics such as the elections, Black Lives Matter, the Census, higher education, immigration, COVID 19, and more. The Data Fair is September 21-25, 2020 and is entirely virtual and free to all. Learn more and register here.

There are excellent programs for faculty who may want to supplement their syllabi with programs across many disciplines such as:

For more information about ICPSR data and Seton Hall’s subscription, please contact Prof Lisa DeLuca Seton Hall’s ICPSR Representative at University Libraries.

ICPSR

The Inter-University Consortium for Political and Social Research (ICPSR) is an organization of member institutions based out of the University of Michigan working together to acquire and preserve social science data, to provide open and equitable access to these data, and to promote effective data use.

The ICPSR data archive and holdings encompass a range of disciplines, including political science, sociology, demography, economics, history, education, gerontology, criminal justice, public health, foreign policy, health and medical care, education, child care research, law, and substance abuse.  Seton Hall faculty and students have access to over 15,000 studies and 5.6 million variables through the University Libraries’ subscription.

Data Services Group

University Libraries launched its Data Services Group in Fall 2019.  Librarians and a Data Support Specialist are available to provide training in data management, specific tools like Stata, SPSS and R, Survey Research Methods for Qualtrics and Data Management for Seton Hall University students, faculty, staff, and administrators.  For further information, please view the Data Services website.  Part of the Data Service mission is to provide access to data sources including ICPSR.

 

Advanced Data Support for the SHU Community

Seton Hall University Libraries, in conjunction with the Department of Information Technology, is excited to announce a campus-wide license for Stata is now available for student and faculty use.

Professor Joseph Huddleston, Assistant Professor at the School of Diplomacy and International Relations, notes “I am so glad we can offer access to Stata to our students now. Stata is a standard analysis software in International Relations, Political Science, Economics, and other social sciences. It is a powerful tool, both for instruction in the classroom and for students’ own research projects.”

What is Stata?

The name Stata stands for a syllabic abbreviation of Statistics and Data.  Stata is a statistical software package that provides tools for data management, statistical methods and data visualization, much like SPSS. It is a powerful tool to create publication-quality graphs and tables.

Why Stata?

Stata offers both pull-down menus and command syntax. Stata commands are very intuitive and easy to use and learn. Stata has a powerful reproducible documentation and version control systems. These systems ensure that researchers will have the same results every time they run the commands. Stata offers a wide number of learning resources including short video on how to use Stata.

How to request and install Stata?

To request a copy of Stata/SE use the Software Request form from the IT Department.

For help with Stata: 

Please contact SHU Libraries Data Services: https://library.shu.edu/data-services

Data Services Group

University Libraries launched its Data Services Group in Fall 2019.  Librarians and a Data Support Specialist are available to provide training in data management, specific tools like Stata, SPSS and R, Survey Research Methods for Qualtrics and Data Management for Seton Hall University students, faculty, staff, and administrators.  For further information, please view the Data Services website.

Interested in learning more? Sign up for Stata class offered by SHU Libraries Data Services for the SHU community:

9/16, Wednesday class 1pm – 1:45pm, Introduction to Stata

9/22, Tuesday, class 4:15 – 5pm, Introduction to Stata

9/23, Wednesday, class, 10am – 10:45am, Introduction to Stata

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