Social and Behavioral Sciences Commons^™

Purloined Significance: How Recidivism Algorithms Capture, Transform, And Automate Our Intersubjective Unconscious As Data, Macy Mcdonald

CLCWeb: Comparative Literature and Culture

Ever since ProPublica published their groundbreaking analysis of Northpointe’s Correctional Offender Management Profiling for Alternative Sanctions Core Risk and Needs Assessment software (COMPAS) in 2016, this web-based decision support system (DSS) has spawned a wide range of critiques and charges of racial bias. COMPAS provides a full suite of decision support applications to the US prison-industrial complex, including algorithmically derived recidivism predictions that increasingly guide parole decisions. The larger conversation surrounding COMPAS raises the question of how we analyze powerful, and yet opaque, data assemblages. In this article, I model an allegorical analysis of data assemblages. I argue the skills …

Teaching With Data In The Social Sciences: The Purdue Report, Jane Yatcilla, Clarence Maybee, Bethany Mcgowan, Gang Shao, D Trevor Burrows

Libraries Reports

Purdue University Libraries participated in a multi-institution study about how instructors teach with data in social sciences courses. Thirteen semi-structured interviews were conducted with social sciences faculty who teach undergraduate students to use data, addressing questions about how faculty connect students to data; how students work with data; what types of support faculty have received that informs their teaching with data. Four broad themes emerged from qualitative coding of the interview transcripts: an array of purposes and practices for teaching about data; instructors' experiences, needs, and perspectives; managing wide-ranging student confidence and ability; technical concerns when teaching with data. The …

My Laptop Takes Forever, Now What!, Eric Adams

Purdue GIS Day

ITAP Research Computing's Data Workbench offers researchers access to an interactive computing environment for non-batch big data analysis and simulation. Researchers who outgrow their local computing resources can benefit from the extra computing power that Data Workbench offers without jumping directly into the High-Performance Computing clusters.

In this presentation, we will discuss the details of Data Workbench, file storage options including the Data Depot and how to transfer large files reliably with the Globus research data management service.

A Black Art: Ontology, Data, And The Tower Of Babel Problem, Andrew J. Iliadis

Open Access Dissertations

Computational ontologies are a new type of emerging scientific media (Smith, 2016) that process large quantities of heterogeneous data about portions of reality. Applied computational ontologies are used for semantically integrating (Heiler, 1995; Pileggi & Fernandez-Llatas, 2012) divergent data to represent reality and in so doing applied computational ontologies alter conceptions of materiality and produce new realities based on levels of informational granularity and abstraction (Floridi, 2011), resulting in a new type of informational ontology (Iliadis, 2013) the critical analysis of which requires new methods and frameworks. Currently, there is a lack of literature addressing the theoretical, social, and critical …

Opportunities And Challenges Of Data Publication: A Case Study From Purdue, David Scherer, Lisa Zilinski, Courtney E. Matthews

Libraries Faculty and Staff Presentations

Beginning in 2011, there have been several policy changes directly affecting the management, preservation, and accessibility of publically-funded research and resulting research data in the United States. In January 18, 2011 the National Science Foundation (NSF) required data management plans to be submitted with all grant proposals. On February 22, 2013, the Office of Science and Technology Policy of the President of the United States extended a similar requirement to all federal agencies who have a research and development budget of more than $100 million. These requirements illustrate the need for further coordination and management of data as scholarship and …

Data Information Literacy: Multiple Paths To A Single Goal, Megan R. Sapp Nelson

Libraries Faculty and Staff Presentations

This lightning talk presentation briefly covers each DIL team's experience working with a specific discipline and their response to identified data management/curation needs.

Developing An Understanding Of Data Management Education: A Report From The Data Information Literacy Project, Jake Carlson, Lisa Johnston, Brian Westra, Mason Nichols

Libraries Faculty and Staff Presentations

This paper describes the initial results from the Data Information Literacy (DIL) project designed to identify the educational needs of graduate students across a variety of science disciplines and respond with effective educational interventions to meet those needs. The DIL project consists of five teams in disparate disciplines from four academic institutions in the United States. The project teams include a data librarian, a subject-specialist librarian, and a faculty member representing a disciplinary group of students. Interviews of the students and faculty members present a detailed snapshot of graduate student needs in data management education. Following our study, educational programs …

Data Information Literacy: Multiple Paths To A Single Goal, Jake Carlson, Sarah Wright, Brian Westra, Jon Jeffryes

Libraries Faculty and Staff Presentations

The Institute of Museum and Library Services funded a two-year project for five teams (each made up of two librarians, one of whom specialized in data services, and a faculty researcher) from four institutions (Purdue University, University of Oregon, University of Minnesota, and Cornell University) to examine the data information literacy needs of graduate student researchers. After identifying the needs of their audience each team developed a tailored approach to bring instruction to their respective graduate students. The involvement of a faculty researcher in each team and pre-instruction interviews of graduate students ensured that the program developed was indeed relevant …

Determining Data Information Literacy Needs: A Study Of Students And Research Faculty, Jake R. Carlson, Michael Fosmire, Chris Miller, Megan R. Sapp Nelson

Libraries Faculty and Staff Scholarship and Research

Researchers increasingly need to integrate the disposition, management and curation of their data into their current workflows. However, it is not yet clear to what extent faculty and students are sufficiently prepared to take on these responsibilities. This paper articulates the need for a data information literacy program (DIL) to prepare students to engage in such an “e-research” environment. Assessments of faculty interviews and student performance in a geoinformatics course provide complementary sources of information, which are then filtered through the perspective of ACRL’s information literacy competency standards to produce a draft set of outcomes for a data information literacy …

Challenges Facing High-Volume Interlibrary Loan Operations: Baseline Data And Trends In The Cic Consortium, Anne K. Beaubien, Jennifer Kuehn, Barbara Smolow, Suzanne M. Ward

Libraries Research Publications

No abstract provided.

Finding Wage And Salary Information, Suzanne M. Ward, Heidi Ann Petruzzi

Libraries Research Publications

No abstract provided.