Browsing by Subject "data management"

Now showing 1 - 9 of 9
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    Community Health Information Resource Guide: Volume 1 - Data
    (The Polis Center at IUPUI, 2011-06) Comer, Karen F; Derr, Michelle; Seyffarth, Chris; Thomaskutty, Champ; Kandris, Sharon; Ritchey, Matthew
    This resource guide contains useful information for those who would like to use data to assess the health status of an Indiana community. Targeted users include local organizations such as county health departments and community health coalitions. Being able to access and use relevant data and information resources is a common hurdle for those interested in assessing and advancing community health. As a result of this need and at the request of the Community Advisory Council of the Community Health Engagement Program, we developed this resource guide to assist individuals, organizations, and coalitions in Indiana in identifying appropriate resources that guide their community health research and evaluation activities. The term “data” is used in this volume in reference to both data and information sources. While data consist of raw facts and figures, information is formed by analyzing the data and applying knowledge to it so that the findings are more meaningful and valuable to the community. The benefit of using data is that you can often manipulate it for your specific purposes. The benefit of using information sources is that the work of generating meaning from the data might already have been done, while a potential downside is that the available sources might not answer your specific questions. There are diverse sources of data that can be used as a basis for community health evaluation and decision making. Those looking to use data must consider multiple factors before determining the appropriate data to seek and use.
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    Development and Use of a Web-based Data Management System for a Randomized Clinical Trial of Adolescents and Young Adults
    (2011-06) Musick, Beverly S.; Robb, Sheri L.; Burns, Debra S.; Stegenga, Kristin; Yan, Ming; McCorkle, Kathy J.; Haase, Joan E.
    Recent advances in technology provide support for multi-site, web-based data entry systems and the storage of data in a centralized location, resulting in immediate access to data for investigators, reduced participant burden and human entry error, and improved integrity of clinical trial data. The purpose of this paper is to describe the development of a comprehensive, web-based data management system for a multi-site randomized behavioral intervention trial. Strategies used to create this study-specific data management system included interdisciplinary collaboration, design mapping, feasibility assessments, and input from an advisory board of former patients with characteristics similar to the targeted population. The resulting data management system and development strategies provide a template for other behavioral intervention studies.
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    From Overview to Hands-On Practice: Iterating NIH Data Management & Sharing Plan Support
    (2023-10-12) Dolan, Levi; Whipple, Elizabeth C.
    OBJECTIVES: In the past year, many librarians have been providing enhanced data management user support relating to NIH Data Management and Sharing Policy (DMSP) implementation. This study aims to make preliminary comparisons of attendee response and librarian workload surrounding two different hour-long library classes offered on the NIH DMSP. One class focused on policy overview and another was structured around active engagement with our institutional workflow, using materials and guidance we created. METHODS: Both classes were offered five times during the Fall 2022-beginning of Summer 2023. In Fall 2022, only the overview class was offered. The workflow class debuted in Spring 2023. We compared attendance numbers, demographics of attendees, and librarian time spent in DMSP consults before and after the second class was implemented. RESULTS: Mean attendance for both classes was similar; the overview class had slightly higher mean attendance than the workflow class. The highest attendance for a single class was for the first workflow class offered. The time spent on individual consults decreased after the workflow class was implemented. CONCLUSIONS: The decrease in time spent on consults after the workflow class was implemented is a potential indicator that this format increased instruction effectiveness and librarian efficiency. The comparisons are limited by small sample size and an unknown degree of variable dependency on timing related to other factors, such as the academic year and the NIH grant cycle calendar.
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    Librarian roles in data curation
    (2013-01-28) Coates, Heather L.
    This presentation is aimed at SLIS students and practicing academic librarians interested in learning more about data curation and the potential roles for librarians in this emerging field. Throughout, background information and relevant literature are discussed in terms of pragmatic librarian knowledge and expertise. Specific topics addressed include the roles and responsibilities of various individuals and organizations involved in research, the activities that take place across the research life cycle, as well as opportunities for librarians to fill existing service and expertise gaps.
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    Meeting the NSF Data Management Plan Requirement, IFRA 2012
    (2013-01-28) Coates, Heather L.
    This invited presentation was given at the 2012 Indiana Forum for Research Administrators. It covers the various issues related to the NSF Data Management Plan Requirement and highlights the role of data in digital preservation, scholarly communication, and the responsible conduct of research and research ethics. In addition, services and resources provided by the IUPUI University Library in support of the NSF requirement are introduced.
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    Older Adults’ Perceptions of Intelligent Voice Assistant Privacy, Transparency, and Online Privacy Guidelines
    (2020) Bonilla, Karen; Martin-Hammond, Aqueasha; Human-Centered Computing, School of Informatics and Computing
    The significant increase in the availability of intelligent virtual assistants (IVA) such as Amazon Alexa or Google Home provides a potential array of benefits to the daily life of older adult consumers; however, this increased consumption has also given rise to fears concerning privacy and security thereby limiting use by some groups. Our investigation explores older adults’ experiences and understanding of intelligent voice assistants. In a pilot study, we conducted semi-structured interviews with seven older adults to identify their understanding of IVAs and any concerns. We found that knowledge of IVA privacy practices, data use and management are key concerns for older adults. Additionally, while online privacy guidelines exist to help mitigate user concerns and address questions, many older adults in our study were unaware that these resources exist and felt that while useful they needed improvement to help older adults better navigate privacy control. Our findings suggest that to aid adoption, it is important to address older adults' concerns about privacy, data management, and how IVAs work. Therefore, our findings have the potential to inform the design and presentation privacy guidelines in the future.
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    Opportunities in data curation: Integrating the library into the research process
    (2012-04-26) Coates, Heather L.
    Libraries are an untapped partner in conducting digital scholarship. While we are often recognized as partners in teaching, our role in digital scholarship is less clear. There are many exciting opportunities for librarians to extend our expertise by building vital campus partnerships and integrating data services into researchers' scholarly practices.
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    Research Data Management Services in Academic Libraries in the US: A Content Analysis of Libraries’ Websites
    (2017-11) Yoon, Ayoung; Schultz, Teresa
    Examining landscapes of research data management services in academic libraries is timely and significant for both those libraries on the front line and the libraries that are already ahead. While it provides overall understanding of where the research data management program is at and where it is going, it also provides understanding of current practices and data management recommendations and/or tool adoptions as well as revealing areas of improvement and support. This study examined the research data (management) services in academic libraries in the United States through a content analysis of 185 library websites, with four main areas of focus: service, information, education, and network. The results from the content analysis of these webpages reveals that libraries need to advance and engage more actively to provide services, supply information online, and develop educational services. There is also a wide variation among library data management services and programs according to their web presence.
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    Supporting the data lifecycle of major scientific facilities
    (iSchools, 2022-02-28) Murillo, Angela P.; Library and Information Science, School of Computing and Informatics
    The needs of very large-scale scientific endeavours require specific attention to ensure that both the data and the cyberinfrastructure that supports that data are handled in a way that safeguards critical data for current and future scientists. This careful handling of scientific data cyberinfrastructure will enable and ensure scientific research and discovery for generations to come. The previous National Science Foundation-funded Cyberinfrastructure Center of Excellent Pilot Study and the subsequent CI Compass, a National Science Foundation Cyberinfrastructure Center of Excellence project, provides active support for Major Facilities. Major Facilitates represent the largest scientific and engineering cyberinfrastructures. This poster provides an overview of the NSF Major Facilities, CI Compass, and the past, current, and planned future work being conducted by CI Compass to support the vital scientific data cyberinfrastructures that the NSF Major Facilities represent.