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Articles 1 - 6 of 6
Full-Text Articles in Entire DC Network
Diving Deep Into Dissertations: Analyzing Graduate Students’ Methodological And Data Practices To Inform Research Data Services And Subject Liaison Librarian Support, Mandy Swygart-Hobaugh M.L.S., Ph.D., Raeda Anderson, Denise George, Joel Glogowski
Diving Deep Into Dissertations: Analyzing Graduate Students’ Methodological And Data Practices To Inform Research Data Services And Subject Liaison Librarian Support, Mandy Swygart-Hobaugh M.L.S., Ph.D., Raeda Anderson, Denise George, Joel Glogowski
University Library Faculty Publications
We present findings from an exploratory quantitative content analysis case study of 156 doctoral dissertations from Georgia State University that investigates doctoral student researchers’ methodology practices (used quantitative, qualitative, or mixed methods) and data practices (used primary data, secondary data, or both). We discuss the implications of our findings for provision of data support services provided by the Georgia State University Library’s Research Data Services (RDS) Team and subject liaison librarians in the areas of instructional services, data software support and licensing advocacy, collection development, marketing/outreach, and professional development/expansion.
Supporting “Big Data” Research At Georgia State University (Gsu), Kelsey Jordan, Bryan Sinclair, Mandy J. Swygart-Hobaugh M.L.S., Ph.D., Jeremy Walker
Supporting “Big Data” Research At Georgia State University (Gsu), Kelsey Jordan, Bryan Sinclair, Mandy J. Swygart-Hobaugh M.L.S., Ph.D., Jeremy Walker
University Library Faculty Publications
From Summer 2020 to Summer 2021, a team of Georgia State University (GSU) University Library faculty took part in a multi-institutional research study coordinated by the Ithaka S+R research and consulting organization to examine the research support needs of faculty doing “big data” research. Drawing from semi-structured interviews with eight GSU researchers representing a diverse cross-section of academic fields, this report offers the following insights from participation in the study: (1) identifies the key research support needs and associated challenges faced by GSU faculty who engage in “big data” research, and (2) offers possible paths toward improved support of GSU …
Connectivity: Insights From The U.S. Long Term Ecological Research Network, David M. Iwaniec, Michael Gooseff, Katharine Suding, David Samuel Johnson, Daniel C. Reed, Debra Peters, Byron Adams, John E. Barrett, Brandon Bestelmeyer, Max C.N. Castorani, Elizabeth M. Cook, Melissa J. Davidson, Peter F. Groffman, Niall Hanan, Laura Huenneke, Pieter T.J. Johnson, Diane Mcknight, Robert J. Miller, Gregory Okin, Daniel Preston, Andrew Rassweiler, Chris Ray, Osvaldo Sala, Robert L. Schooley, Timothy Seastedt, Marko Spasojevic, Enrique R. Vivoni
Connectivity: Insights From The U.S. Long Term Ecological Research Network, David M. Iwaniec, Michael Gooseff, Katharine Suding, David Samuel Johnson, Daniel C. Reed, Debra Peters, Byron Adams, John E. Barrett, Brandon Bestelmeyer, Max C.N. Castorani, Elizabeth M. Cook, Melissa J. Davidson, Peter F. Groffman, Niall Hanan, Laura Huenneke, Pieter T.J. Johnson, Diane Mcknight, Robert J. Miller, Gregory Okin, Daniel Preston, Andrew Rassweiler, Chris Ray, Osvaldo Sala, Robert L. Schooley, Timothy Seastedt, Marko Spasojevic, Enrique R. Vivoni
Sustainable Futures Lab Publications
Ecosystems across the United States are changing in complex and surprising ways. Ongoing demand for critical ecosystem services requires an understanding of the populations and communities in these ecosystems in the future. This paper represents a synthesis effort of the U.S. National Science Foundation-funded Long-Term Ecological Research (LTER) network addressing the core research area of “populations and communities.” The objective of this effort was to show the importance of long-term data collection and experiments for addressing the hardest questions in scientific ecology that have significant implications for environmental policy and management. Each LTER site developed at least one compelling case …
Illicit Activity Detection In Large-Scale Dark And Opaque Web Social Networks, Dhara Shah, T. G. Harrison, Christopher B. Freas, David Maimon, Robert W. Harrison
Illicit Activity Detection In Large-Scale Dark And Opaque Web Social Networks, Dhara Shah, T. G. Harrison, Christopher B. Freas, David Maimon, Robert W. Harrison
EBCS Articles
Many online chat applications live in a grey area between the legitimate web and the dark net. The Telegram network in particular can aid criminal activities. Telegram hosts “chats” which consist of varied conversations and advertisements. These chats take place among automated “bots” and human users. Classifying legitimate activity from illegitimate activity can aid law enforcement in finding criminals. Social network analysis of Telegram chats presents a difficult problem. Users can change their username or create new accounts. Users involved in criminal activity often do this to obscure their identity. This makes establishing the unique identity behind a given username …
Examining The Crime Prevention Claims Of Crime Prevention Through Environmental Design On System-Trespassing Behaviors: A Randomized Experiment, Daren Fisher, David Maimon, Tamar Berenblum
Examining The Crime Prevention Claims Of Crime Prevention Through Environmental Design On System-Trespassing Behaviors: A Randomized Experiment, Daren Fisher, David Maimon, Tamar Berenblum
EBCS Articles
Crime prevention through environmental design (CPTED) is a non-punitive method for reducing crime through the design of the built environment. The relevance of CPTED strategies however is less clear in the context of computing environments. Building upon prior research indicating that computing environments may change computer users’ behaviors, this study tests the effectiveness of CPTED based approaches in mitigating system trespassing events. Findings from this randomized controlled field trial demonstrate that specific CPTED strategies can mitigate hacking events by: reducing the number of concurrent activities on the target computer, attenuating the number of commands typed in the attacked computer, and …
Improving Grading And Feedback Of Programming Assignments Using Version Control: An Experience Report, Jillian Morgan, Michael Weeks
Improving Grading And Feedback Of Programming Assignments Using Version Control: An Experience Report, Jillian Morgan, Michael Weeks
Computer Science Technical Reports
Leaving meaningful, actionable feedback that students will read and, most importantly, follow-up on, is essential for strengthening their programming skills. In addition, being capable with version control platforms, such as git, is a desired skill in industry. Could a marriage between the two, leaving meaningful feedback for student submissions in a version control system, lead them to be better programmers while improving the time and quality of instructors’ feedback? This experience report describes how we used GitHub Classroom for programming assignment submission and assessment in CS2. We provide examples of typical feedback using various assessment mechanisms, describe the process of …