- Browse by Author
Browsing by Author "Goben, Abigail"
Now showing 1 - 7 of 7
Results Per Page
Sort Options
Item A Comprehensive Primer to Library Learning Analytics Practices, Initiatives, and Privacy Issues(American Library Association, 2020-04) Jones, Kyle M. L.; Briney, Kristin A.; Goben, Abigail; Salo, Dorothea; Asher, Andrew; Perry, Michael R.; Library and Information Science, School of Informatics and ComputingUniversities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains from instruction, and analyze student-library usage, et cetera. The adoption of these techniques leads to many professional ethics issues and practical concerns related to privacy. In this narrative literature review, we provide a foundational background in the field of learning analytics, library adoption of these practices, and identify ethical and practical privacy issues.Item Data Management Planning for an Eight-Institution, Multi-Year Research Project(OJS, 2022-09-07) Briney, Kristin A.; Goben, Abigail; Jones, Kyle M. L.; Library and Information Science, School of Computing and InformaticsWhile data management planning for grant applications has become commonplace alongside articles providing guidance for such plans, examples of data plans as they have been created, implemented, and used for specific projects are only beginning to appear in the scholarly record. This article describes data management planning for an eight-institution, multi-year research project. The project leveraged four data management plans (DMP) in total, one for the funding application and one for each of the three distinct project phases. By understanding researcher roles, development and content of each DMP, team internal and external challenges, and the overall benefits of creating and using the plans, these DMPs provide a demonstration of the utility of this project management tool.Item Expanding the table: The role of library data professionals in data governance(2022-03-16) Goben, Abigail; Coates, Heather L.; Briney, KristinAs research data management and sharing has become ubiquitous, the need for data governance — coordinated decision-making around research data across all levels of an institution — has come to the forefront. Data governance is needed to address immediate and changing issues such as emerging funder policies as well as the ongoing challenge of researchers leaving an institution. Data governance often falls under the purview of information technology units. However, this technocentric approach may conflict with the values and real world aims of university research, resulting in policies and practices that create additional barriers. Due to the traditionally hierarchical nature of research institutions, there is a need for broader engagement and representation in governance structures. Currently, data governance typically reflects the priorities and perspectives of those who are white, able-bodied, and male. While this is evolving, there is a specific need to identify and include the communities who have been previously excluded from decision-making and to ensure their participation in order to anticipate potential governance problems across a range of scenarios. Due to their familiarity with working across disciplines and throughout their organizations and expertise in areas like data sharing and preservation, library data professionals should be key partners in data governance processes. At our institutions, each of us has observed common challenges and witnessed the need for more participatory data governance practices. Seeing these issues, as librarians working with data, we’ve raised our voices and used our established credibility to bring together the disparate groups and to ensure library expertise is utilized when policy and practice decisions are being made. This presentation will explore current challenges in research data governance stemming from the dominant technocentric approach. We seek to extend the conversation and to identify opportunities for our community to advance more transparent and collaborative data governance practices.Item Foundational Practices of Research Data Management(Pensoft, 2020-07-27) Briney, Kristin A.; Coates, Heather L.; Goben, AbigailThe importance of research data has grown as researchers across disciplines seek to ensure reproducibility, facilitate data reuse, and acknowledge data as a valuable scholarly commodity. Researchers are under increasing pressure to share their data for validation and reuse. Adopting good data management practices allows researchers to efficiently locate their data, understand it, and use it throughout all of the stages of a project and in the future. Additionally, good data management can streamline data analysis, visualization, and reporting, thus making publication less stressful and time-consuming. By implementing foundational practices of data management, researchers set themselves up for success by formalizing processes and reducing common errors in data handling, which can free up more time for research. This paper provides an introduction to best practices for managing all types of data.Item Questions of Trust: A Survey of Student Expectations and Perspectives on Library Learning Analytics(University of Chicago Press, 2022-04) Asher, Andrew D.; Briney, Kristin A.; Jones, Kyle M. L.; Regalado, Mariana; Perry, Michael R.; Goben, Abigail; Smale, Maura A.; Salo, Dorothea; Library and Information Science, School of Computing and InformaticsUniversities are developing learning analytics initiatives that include academic library participation. Libraries rarely inform their students about learning analytics projects or general library data practices. Without a clear student voice in library learning analytics projects, libraries and librarians are creating potential privacy complications. This study seeks to document students’ thoughts on academic library participation in learning analytics and privacy concerns. A survey was developed and fielded at eight US higher education institutions, and this article covers the findings from the approximately 2,200 responses. Although most students reported high levels of trust in libraries and librarians, a consistent minority indicated little or no trust at all. Findings demonstrate that students considered librarian access to and sharing of personally identifiable information to constitute a privacy violation but also lacked awareness of the data and analytic practices on which libraries rely. Notable demographic differences were also discovered.Item Shifting into Data Governance roles: Encounters of three data librarians(2022-06-10) Goben, Abigail; Coates, Heather L.; Briney, KristinAs research data management and sharing has become ubiquitous, the need for data governance — coordinated decision-making around research data across all levels of an institution — has come to the forefront. Data governance is needed to address immediate and changing issues such as emerging funder policies as well as the ongoing challenge of researchers leaving an institution. Data governance often falls under the purview of information technology units. However, this technocentric approach may conflict with the values and real world aims of university research, resulting in policies and practices that create additional barriers or disincentivize unconventional processes. Due to the traditionally hierarchical nature of research institutions, there is a need for broader engagement and representation in governance structures. Currently, data governance typically reflects the priorities and perspectives of those who are white, able-bodied, and male. While this is evolving, there is a specific need to identify and include the communities who have been previously excluded from decision-making and to ensure their participation in order to anticipate potential governance problems across a range of scenarios. Due to their familiarity with working across disciplines and throughout their organizations and expertise in areas like data sharing and preservation, library data professionals should be key partners in data governance processes. At our institutions, each of us has observed common challenges and witnessed the need for more participatory data governance practices. Seeing these issues, as librarians working with data, we’ve raised our voices and used our established credibility to bring together the disparate groups and to ensure library expertise is utilized when policy and practice decisions are being made. This presentation will describe how three data librarians have engaged with data governance and identified opportunities to advance more transparent and collaborative data governance practices.Item “We're being tracked at all times”: Student perspectives of their privacy in relation to learning analytics in higher education(Wiley, 2020) Jones, Kyle M. L.; Asher, Andrew; Goben, Abigail; Perry, Michael R.; Salo, Dorothea; Briney, Kristin A.; Robertshaw, M. Brooke; Library and Information Science, School of Informatics and ComputingHigher education institutions are continuing to develop their capacity for learning analytics (LA), which is a sociotechnical data‐mining and analytic practice. Institutions rarely inform their students about LA practices, and there exist significant privacy concerns. Without a clear student voice in the design of LA, institutions put themselves in an ethical gray area. To help fill this gap in practice and add to the growing literature on students' privacy perspectives, this study reports findings from over 100 interviews with undergraduate students at eight U.S. higher education institutions. Findings demonstrate that students lacked awareness of educational data‐mining and analytic practices, as well as the data on which they rely. Students see potential in LA, but they presented nuanced arguments about when and with whom data should be shared; they also expressed why informed consent was valuable and necessary. The study uncovered perspectives on institutional trust that were heretofore unknown, as well as what actions might violate that trust. Institutions must balance their desire to implement LA with their obligation to educate students about their analytic practices and treat them as partners in the design of analytic strategies reliant on student data in order to protect their intellectual privacy.