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Full-Text Articles in Library and Information Science

A Black Art: Ontology, Data, And The Tower Of Babel Problem, Andrew J. Iliadis Apr 2016

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 …


Data Information Literacy: Multiple Paths To A Single Goal, Megan R. Sapp Nelson Mar 2013

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 Jan 2013

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 Jan 2013

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 Jan 2011

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 …


Finding Wage And Salary Information, Suzanne M. Ward, Heidi Ann Petruzzi Jan 1995

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

Libraries Research Publications

No abstract provided.