Who Do You Think We Are? The Data Publics in Digital Government Policy

This study provides conceptual clarity on open data users by connecting an empirical analysis of policy documents to emerging theoretical research on data publics. Releasing files to the public for reuse is the primary objective of policy on open government data. Recent public sphere scholarship provides insights into who reuses data by defining a data public as people who actively construct narratives with openly available digital sources. A content analysis of United States federal policy documents identified the language used to represent people who might reuse data. An inductive qualitative analysis of mandated digital strategy reports generated a taxonomy that characterizes people mentioned in open data policy. In addition to the taxonomy, this research contributes a set of propositions to predict data reuse based on these characteristics. The results encourage further dialog between public sphere and digital government scholars to establish testable explanations about data publics

Interviewing data - the art of interpretation in analytics

Interviewing Data: The art of interpretation in analytics -- Algorithms and statistical models produce consistent results with confidence yet they do so with data that are subject to change. Furthermore, the underlying digital traces created within specifically designed platforms are rarely transparent. The emerging field which incorporates analytics, predictive behavior, big data, and data science, is still contesting its methodological boundaries. How can we use existing research tools to validate the reliability of the data? This paper explores alternatives to statistical validity by situating analytics as a form of naturalistic inquiry. A naturalistic research model, which has no assumption of an objective truth, places greater emphasis on logical reasoning and researcher reflectivity. "Interviewing data", based on journalistic practices, is introduced as a tool to convey the reliability of the data. The misleading 2013 flu prediction illustrates this approach and is discussed within the context of ethics and accountability in data science

Understanding Shifting Dynamics of Power in State Governments through Social Networks

We use social network analysis to better understand historic data on the administration of local governments. Despite advances in e-government applications, the public sector lags behind in analytics because information is locked in legacy data formats. Can e-government researchers bridge the gap between legacy data and analytics? We argue that computational analytic methods can explain patterns that have gone unquestioned in previous research on government. We consider how state government authority can be explained using a network perspective. We investigate methodological challenges in building a weighted network to confirm existing measures for calculating the power of the state governor. This project reports on the initial step in a broader study to cover all 50 states across multiple years and agencies. We explain where the power shifted across states and time. Computational analysis of existing government data matches findings from previous studies as well as adding additional explanatory power

L. Enterprise Search and Collective Mind Proceedings of the Seventeenth Americas Conference on Information Systems, Detroit, Michigan August 4th-7th 2011 1 Enterprise search and collective mind: Patterns of information-seeking behavior in organizations

Enterprise search technology retrieves digital objects and internally generated content within organizations. Unlike otherretrieval environments, enterprise search is a community of practice which responds to expected activity at similar times.Collective mind theory (Weick & Roberts, 2003) is similar to retrieval environments where the unplanned movements ofmultiple people move towards a similar end. An inductive, interpretive (Walsham, 1995) case study (Yin, 2009) wasconducted in a government agency to understand enterprise search practices. The method of analysis was analytic induction(LeCompte & Schensul, 1999; Miles & Huberman, 1994; Strauss & Corbin, 1990). Interviews, observations and searchinterfaces were interpreted through theory and summarized in a process model. The model illustrates relationships betweensearch interfaces and sequences of activity. This study identified the phenomenon of collective information-seeking behaviorin organizations. The results provide a unique way to understand the role of search interface design for information systems

Strategies and Tools for Digital Repository Selection and Migration

As digital repositories evolve, so to do the needs of institutions who employ them. Increasingly institutions are faced with the daunting task of migrating content from one repository to another. But what strategies exist to help institutions identify suitable repositories and effectively and efficiently plan and execute a migration? This workshop aims to explore the issues and strategies of repository (re)selection and migration. Participants will learn about the different phases of a migration process including: system evaluation and selection, migration planning, and implementation strategies and tools. Throughout the workshop, participants will actively explore these phases as they relate to their organizational context and come away with questions and next steps for planning for system selection and/or a migration at their own institution. The workshop will be led by members of the Bridge2Hyku (B2H) Project, an Institute for Museum and Library Services (IMLS) National Leadership/Project Grant (LG-70-17-0217-17) initiative led by UH Libraries to support the creation of the B2H Toolkit- a suite of resources for migration planning and implementation

Uncoupling inequality: Reflections on the ethics of benchmarks for digital media

Our collaboration seeks to demonstrate shared interrogation by exploring the ethics of machine learning benchmarks from a socio-technical management perspective with insight from public health and ethnic studies. Benchmarks, such as ImageNet, are annotated open data sets for training algorithms. The COVID-19 pandemic reinforced the practical need for ethical information infrastructures to analyze digital and social media, especially related to medicine and race. Social media analysis that obscures Black teen mental health and ignores anti-Asian hate fails as information infrastructure. Despite inadequately handling non-dominant voices, machine learning benchmarks are the basis for analysis in operational systems. Turning to the management literature, we interrogate cross-cutting problems of benchmarks through the lens of coupling, or mutual interdependence between people, technologies, and environments. Uncoupling inequality from machine learning benchmarks may require conceptualizing the social dependencies that build structural barriers to inclusion

Creating Efficient and Sustainable Workflows for Scholarly Works into a DSpace Repository

In fall 2017, a team at UH Libraries piloted an expanded set of repository services, including mediated submission of faculty and student works and faculty self-submissions. The Metadata and Digitization Services department worked closely with Digital Research Services to create and implement new workflows for the batch processing and upload of faculty and student research into the UH Institutional Repository. In the 2 month pilot phase, the team added over 650 faculty and student works to the IR and is now scaling up these services.Librarie

Consideration of selected social theories of aging as evidenced by patterns of adjustment to retirement among professional football players

The purpose of this study was to determine whether or not the characteristic patterns of adjustment to retirement among professional football players supported one or more of three current social theories of aging. Data for the study were derived primarily from a structured interview which incorporated questions representative of disengagement theory, identity crisis theory, and activity theory, and questions regarding the individual's professional career in general. Additional data were obtained from three standardized scales given as pencil-paper tests which assessed life satisfaction, morale, and self-esteem. In order to provide an overview of the sample, a written questionnaire was designed to elicit biographical information on each subject. During May and June of 1980, interviews were conducted with five retired professional football players. Rosenberg's Self-esteem Scale (1965), the Life Satisfaction Index B (Neugarten, Havighurst, and Tobin, 1961) and The Revised Philadelphia Geriatric Center Morale Scale (Lawton, 1975) were administered to each subject following the interview session. The biographical questionnaire was given prior to each interview