For researchers who haven’t gotten the statistical knowledge they need from coursework, the Interuniversity Consortium for Political and Social Research (ICPSR) is preparing its 2017 Summer Program in Quantitative Methods of Social Research. Intensive statistical methods courses last for four or eight weeks, with a few week long workshops.
On Monday, January 30th at 1:00pm CST, ICPSR is offering a free webinar to introduce the Summer Program, discuss the 2017 courses, explain the registration process, and explore ICPSR Scholarships and other funding opportunities to attend. More information, as well as a link to register for the webinar, can be found here: http://www.icpsr.umich.edu/icpsrweb/sumprog/.
Do you need new or additional programming skills for a research project? Having a problem with getting data out of a file or reshaping it for your needs? Do you have a task you think you could automate with a script?
The Research Data Service in conjunction with the Scholarly Commons will be hosting drop-in hours for Python coding help. All students, staff, and faculty are welcome to drop by to get help with a coding problem or learn about other campus and community resources for programming help. Some R, SQL, and XML help can be also provided as well. Drop-in hours are meant to assist researchers in programming tasks related to research projects and not for homework help. Members of RDS staff will also be available to discuss more general data management as well.
Please bring your computer and any data files you’re trying to work with.
For Fall Semester 2016, Data Help Open Hours will be held on Tuesday afternoons when classes are in session, from 3-5 or by appointment.
Questions? Contact Elizabeth (firstname.lastname@example.org) or the Scholarly Commons (email@example.com).
The University Library, in partnership with the Graduate College, is participating in a national survey of graduate student research practices this month. The survey invitation is being sent to a sample of graduate and professional students. If you receive an invitation to participate in the survey, we very much welcome your input and thank you for your time in filling it out. The findings from this survey will be extremely helpful as we work to provide a library environment that meets your needs as an Illinois graduate student. If you have any questions, please contact Karen Hogenboom (firstname.lastname@example.org) or Lisa Hinchliffe (217-333-1323; email@example.com).
The Survey Research Laboratory on campus is offering a series of webinars on survey research this spring:
Cross-Cultural Survey Methods
Wednesday, March 16, noon
This seminar will provide an overview of the methodological challenges of conducting cross-cultural survey research and currently available techniques for establishing and/or evaluating equivalence in cross-cultural surveys.
Pros and Cons of Nonprobability Sampling
Wednesday, March 30, noon
This seminar will define nonprobability sampling and provide an overview of the most common types. It will describe the settings in which these types of samples are most appropriate and will offer an assessment of the pros and cons of using them.
Survey Question Response Scale Construction
Wednesday, April 6, noon
This webinar addresses choices and decisions that researchers make when asking survey questions with response scales such as unipolar versus bipolar scales, number of scale points, labeling of scale points, and use of a midpoint.
Fundamentals of Survey Data Set Construction
Wednesday, April 13, noon
This webinar will provide an overview of the basics of survey data set construction, including data coding, management, and editing, as well as issues such as data quality and missing data.
The webinars are free, but advance registration is required (go to http://www.srl.uic.edu/seminars/Spring16Seminars.htm to register). Recordings of past webinars are also available at http://www.srl.uic.edu/seminars.htm.
The Survey Research Lab also partners with the Scholarly Commons to provide free consultations about survey research on Thursday afternoons from 2-5 pm. Stop by the Scholarly Commons or contact us in advance for an appointment time.
The University of Illinois Research Data Service and the Scholarly Commons will be participating in Love Your Data week Feb. 8-12, 2016, a nationwide event designed to raise awareness about research data management, sharing, and preservation, along with the support and resources available at our university. We believe research data are the foundation of the scholarly record and crucial for advancing our knowledge of the world around us. If you care about research data, please join us!
Each day will have a theme driving the event, with opportunities to complete hands-on activities that will guide your efforts to keep your data safe, findable, understandable, citable, and reusable.
Follow @ILresearchdata on Twitter where the Research Data Service will be tweeting daily research data management tips, examples, and resources, as well as connecting you with experts on our campus and in your discipline. Track #LYD16 on Twitter, Instagram, and Facebook to tune into the national Love Your Data week campaign and join the conversation about research data management by sharing your own experiences and results from the daily activities.
Visit the Love Your Data website to learn more about the event and check out the topics we will be exploring each day.
If you have any questions about Love Your Data week at the UofI, please email Elise Dunham at firstname.lastname@example.org.
(Guest post by Elise Dunham)
Research data not playing nicely? Don’t let a data management or a technical problem come between you and your data being beautiful. Let the Research Data Service and the Scholarly Commons help.
The RDS has once again partnered with the Scholarly Commons to offer Data/Python Open hours for the Spring 2016 semester. These drop-in hours are designed for anyone needing data management or technical help on a research project. All students, staff, and faculty are welcome to drop by (for free!) to get help with:
• Research data management
• Learning how to code
• Using Python and R for reproducible research
• Accessing large data files
• Cleaning data
• Web scraping
• And much more!
Please bring your computer and any data files you’re trying to work with. Drop-in hours are not designed to be homework help for programming or statistics courses.
Stop by anytime between 3-5pm on Tuesdays starting January 19 at the Scholarly Commons (Room 306 Main Library; near the Wright Street stairwell).
Questions? Contact Elizabeth (email@example.com) or the Scholarly Commons (firstname.lastname@example.org).
(Guest post by Elizabeth Wickes)
The next meeting date for the Digital Humanities Reading Group will be on Thursday October 29th. This month we will be discussing the intersection of cultural criticism and topic modeling within Digital Humanities in anticipation of Nicole Brown’s DH Brown bag “Black Women Big Data: Utilizing Topic Modeling to Understand Black Women’s Lived Experience” on November 5.
Date & Location:
Thursday October 29th from 2:30-4:00PM
Room 341 of the Graduate School of Library and Information Science (GSLIS) Building
DH Brownbag “Black Women Big Data: Utilizing Topic Modeling to Understand Black Women’s Lived Experience” on November 5.
Readings for discussion:
DiMaggio, P., Nag, M. and Blei, D. “Exploiting affinities between topic modeling and the sociological perspective on culture? Application to newspaper coverage of U.S. government arts funding”, Poetics 41 (2013): 570-606
Lui, A. 2012. “Where is Cultural Criticism in the Digital Humanities?”, In M. Gold (ed), Debates in Digital Humanities, University of Minnesota Press, Minneapolis (2012). Available at http://dhdebates.gc.cuny.edu/debates/text/20
New to the group?
We are interested in developing critically grounded perspectives on what it means to do digital humanities work in various institutional contexts. As a starting point, we will examine some prominent pieces that discuss themes related to defining, critiquing, practicing, and teaching “digital” humanities. We hope to supplement these readings with additional perspectives informed by the interests, scholarship, and work of those who do digital humanities on campus. Visit our webpage at http://cirss.lis.illinois.edu/Group/group.php?id=1 or view past reading selections at https://www.zotero.org/groups/reading_dh/
-Posted on behalf of the DH reading group.
Applied Technologies in the Liberal Arts and Sciences (ATLAS) has set its fall workshop schedule. ATLAS workshops are free and open to anyone on campus.
09/29/2015 – Stata 1: Getting Started with Stata
10/06/2015 – Stata 2: Inferential Statistics with Stata
10/01/2015 – R 1: Getting Started with R
10/08/2015 – R 2: Inferential Statistics
10/13/2015 – R 3: R Studio
10/15/2015 – ATLAS.ti 1: Introduction – Qualitative Coding
10/22/2015 – ATLAS.ti 2: Data Exploration and Analysis
10/27/2015 – SPSS 1: Getting Started with SPSS
11/03/2015 – SPSS 2: Inferential Statistics with SPSS
10/29/2015 – SAS 1: Getting Started with SAS
11/05/2015 – SAS 2: Inferential Statistics with SAS
10/20/2015 – Questionnaire Design
For details and to register for workshops, see ATLAS’s Fall Training Schedule.
Do you sometimes get frustrated using any of the university library resources?
Do you have at least one of the following disabilities: blindness/low vision, deaf/hearing impairment, Autism, Post Traumatic Stress Disorder (PTSD), or have a mobility impairment?
Are you an undergraduate student, graduate student, or a faculty or staff member?
Have your voice heard!
Fill out the availability survey to potentially participate in a focus group about that will ask about your experiences in the library as a patron with a disability.
This research will help the University Library better understand your unique needs and allow us to make changes to better serve you. Focus groups will last for 90 minutes, take place in a Main Library Meeting Room (to be determined), and will be audio and video recorded. At the end of the focus group session, you will be given one $20 gift card to compensate you for your time.
Your identity will be anonymized in any publishable or professional materials that are developed from this research.
If you have any questions, please contact the principal investigator, JJ Pionke, at email@example.com or 217-265-0002.
This fall marks the sixth annual Data Purchase Program, where the University Library accepts applications from campus researchers for purchasing data that will be useful to them in their research. The data must cost less than $5,000, must be used for teaching or research, and it must be available to all of campus. Some vendors are only willing to sell access for one person, but often we can negotiate campus access.
The library has purchased a large variety of data: from tax assessor’s data for the Chicago area to satellite imagery of a river in Argentina and the locations of villages in the state of Himachal Pradesh, India. A full list of purchased data is on the program description page at http://www.library.illinois.edu/sc/datagis/purchase/description2015
The deadline for first consideration is October 1, but the Data Services Committee will consider applications that come in later as long as we have funds available and can complete the purchase by the end of the fiscal year.
If you are interested in applying for the Data Purchase Program, the online application is at https://illinois.edu/fb/sec/9886260. If you have questions about the program or need help identifying data for your research, please contact the Scholarly Commons at firstname.lastname@example.org. We look forward to connecting you with the data you need!