Browsing by Subject "Data"

Now showing 1 - 9 of 9
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    Big data in the new media environment
    (2014-02) O'Donnell, Matthew Brook; Falk, Emily B.; Konrath, Sara H.
    Bentley et al. argue for the social scientific contextualization of “big data” by proposing a four-quadrant model. We suggest extensions of the east–west (i.e., socially motivated versus independently motivated) decision-making dimension in light of findings from social psychology and neuroscience. We outline a method that leverages linguistic tools to connect insights across fields that address the individuals underlying big-data media streams.
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    Difficult Heritage and the Complexities of Indigenous Data
    (McGill University, 2019-08-13) Guiliano, Jennifer; Heitman, Carolyn; History, School of Liberal Arts
    For readers of this special issue, data are likely defined in technical terms as established by information and computer scientists. Data, for the informaticist, are facts, measurements or statistics. For the historian, data are historical remnants—often preserved by an archive. For the anthropologist, data can be quantitative or qualitative depending on the question and methods. Disciplinary methods aside, data are not value-neutral and thus must be contextualized in terms of their acquisition, analysis, and interpretation in order to transform data into information. For humanists, the cultural complexities of data and information are not new. Anthropologists, historians, linguists, museum curators, and archivists have long probed the contextual subjectivities of knowledge production and representation. From ink and quill maps representing the New World to the carefully stratified layers of an archeological site, data in the humanities are always subject to the systems of knowledge that were used to capture, represent, and disseminate them.
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    End-User Needs of Fragmented Databases in Higher Education Data Analysis and Decision Making
    (2019-05) Briggs, Amanda; Cafaro, Francesco; Dombrowski, Lynn; Reda, Khairi
    In higher education, a wealth of data is available to advisors, recruiters, marketers, and program directors. However, data sources can be accessed in a variety of ways and often do not seem to represent the same data set, presenting users with the confounding notion that data sources are in conflict with one another. As users are identifying new ways of accessing and analyzing this data, they are modifying existing work practices and sometimes creating their own databases. To understand how users are navigating these databases, the researchers employed a mixed methods research design including a survey and interview to understand the needs to end users who are accessing these seemingly fragmented databases. The study resulted in a three overarching categories – access, understandability, and use – that affect work practices for end users. The researchers used these themes to develop a set of broadly applicable design recommendations as well as six sets of sketches for implementation – development of a data gateway, training, collaboration, tracking, definitions and roadblocks, and time management.
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    The Giving Environment: Understanding Drivers for Donor Engagement
    (IU Lilly Family School of Philanthropy, 2022-01-26) Indiana University Lilly Family School of Philanthropy
    The objective of this research is to determine the relative effectiveness of fundraising messages in building connection to new, everyday donors. In short, which messages connect? The second objective is to investigate why a fundraising message works. To achieve this second objective, the study measured emotional and moral responses to the fundraising message.
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    HAPPI-2: a Comprehensive and High-quality Map of Human Annotated and Predicted Protein Interactions
    (BioMed Central, 2017-02-17) Chen, Jake Yue; Pandey, Ragini; Nguyen, Thanh M.; Department of Biohealth Informatics, School of Informatics and Computing
    BACKGROUND: Human protein-protein interaction (PPI) data is essential to network and systems biology studies. PPI data can help biochemists hypothesize how proteins form complexes by binding to each other, how extracellular signals propagate through post-translational modification of de-activated signaling molecules, and how chemical reactions are coupled by enzymes involved in a complex biological process. Our capability to develop good public database resources for human PPI data has a direct impact on the quality of future research on genome biology and medicine. RESULTS: The database of Human Annotated and Predicted Protein Interactions (HAPPI) version 2.0 is a major update to the original HAPPI 1.0 database. It contains 2,922,202 unique protein-protein interactions (PPI) linked by 23,060 human proteins, making it the most comprehensive database covering human PPI data today. These PPIs contain both physical/direct interactions and high-quality functional/indirect interactions. Compared with the HAPPI 1.0 database release, HAPPI database version 2.0 (HAPPI-2) represents a 485% of human PPI data coverage increase and a 73% protein coverage increase. The revamped HAPPI web portal provides users with a friendly search, curation, and data retrieval interface, allowing them to retrieve human PPIs and available annotation information on the interaction type, interaction quality, interacting partner drug targeting data, and disease information. The updated HAPPI-2 can be freely accessed by Academic users at http://discovery.informatics.uab.edu/HAPPI . CONCLUSIONS: While the underlying data for HAPPI-2 are integrated from a diverse data sources, the new HAPPI-2 release represents a good balance between data coverage and data quality of human PPIs, making it ideally suited for network biology.
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    Initial uptake, time to treatment, and real-world effectiveness of all-oral direct-acting antivirals for hepatitis C virus infection in the United States: A retrospective cohort analysis
    (PLOS, 2019-08-22) Kwo, Paul Y.; Puenpatom, Amy; Zhang, Zuoyi; Hui, Siu L.; Kelley, Andrea A.; Muschi, David; Biostatistics, School of Public Health
    BACKGROUND: Data on initiation and utilization of direct-acting antiviral therapies for hepatitis C virus infection in the United States are limited. This study evaluated treatment initiation, time to treatment, and real-world effectiveness of direct-acting antiviral therapy in individuals with hepatitis C virus infection treated during the first 2 years of availability of all-oral direct-acting antiviral therapies. METHODS: A retrospective cohort analysis was undertaken using electronic medical records and chart review abstraction of hepatitis C virus-infected individuals aged >18 years diagnosed with chronic hepatitis C virus infection between January 1, 2014, and December 31, 2015 from the Indiana University Health database. RESULTS: Eight hundred thirty people initiated direct-acting antiviral therapy during the 2-year observation window. The estimated incidence of treatment initiation was 8.8%±0.34% at the end of year 1 and 15.0%±0.5% at the end of year 2. Median time to initiating therapy was 300 days. Using a Cox regression analysis, positive predictors of treatment initiation included age (hazard ratio, 1.008), prior hepatitis C virus treatment (1.74), cirrhosis (2.64), and history of liver transplant (1.5). History of drug abuse (0.43), high baseline alanine aminotransferase levels (0.79), hepatitis B virus infection (0.41), and self-pay (0.39) were negatively associated with treatment initiation. In the evaluable population (n = 423), 83.9% (95% confidence interval, 80.1-87.3%) of people achieved sustained virologic response. CONCLUSION: In the early years of the direct-acting antiviral era, <10% of people diagnosed with chronic hepatitis C virus infection received direct-acting antiviral treatment; median time to treatment initiation was 300 days. Future analyses should evaluate time to treatment initiation among those with less advanced fibrosis.
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    Issues with archiving community data
    (Facet Publishing, 2017) Spotts, Lydia; Copeland, Andrea J.
    Transportation in Indianapolis is evolving. The bicycle, two-wheeled agitator of a similar transportation revolution across the United States in the 1890s, is back. The city landscape, overwhelmingly distinguished by auto-centric design, is increasingly being reshaped to support cycling as the economic impact of these alterations changes perceptions and the cycling movement gains momentum. How to document the impact of an urban landscape in flux from the perspective of a loosely codified community centered on cycling is a considerable challenge worthy of consideration by archivists and information professionals in general.
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    Knowledge Diffusion and Utilization with a System of Care Model
    (2018-07-26) Walton, Betty A.; Karikari, Isaac; Garry, Christine; Tock, Erin
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