Browsing by Author "Derr, Michelle"

Now showing 1 - 7 of 7
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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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    CTSA 2 Community: www.ctsa2community.org
    (2011-08-31) Ackermann, Ronald; Hardwick, Emily; Comer, Karen; Hudson, Brenda; Odell, Jere D.; Arenson, Andrew; Barnett, Bill; McGuire, Patrick; Derr, Michelle; Reid, Tisha; Vandergraff, Donna; Marrero, David G.
    This poster describes the development an accessible, user-driven, and sustainable web resource for community and academic experts working together to identify, adopt, and implement a wide array of community engaged research infrastructures for enhancing community engagement in all forms of clinical and translational research. CTSA2Community aims to be a storage place for valuable resources referring to the set-up and running of a community engagement program. Resources are provided by experts in the field of community engagement.
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    Health Geoinformatics: Applying geospatial technologies and spatial information to health practice, research, and learning.
    (Office of the Vice Chancellor for Research, 2012-04-13) Derr, Michelle
    Health Geoinformatics applies geospatial technologies and spatial information to health practice, research, and learning. Our interdisciplinary approach fuses geospatial technologies with health and community informatics to explore relationships among geography, health, and health care and to support community engagement, planning, decision-making, and health education. The current national focus on community-engaged research makes our large-scale integration of the concepts of community informatics and health informatics very significant. We apply community information and computing technologies (ICT), along with geospatial technologies, toward the enhancement of clinical and translational science research objectives, including development of better information about community factors that influence health behaviors and improved knowledge to communities for the creation and sustenance of community environments and systems that support public health.
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    The SAVI Community Information System
    (Office of the Vice Chancellor for Research, 2010-04-09) Derr, Michelle
    The SAVI Community Information System (www.savi.org) is a dynamic and interactive resource for local, spatially-enabled data and information about Central Indiana. It provides local data about the social, economic, and physical conditions of neighborhoods, townships, and counties, and other geographic areas such as school districts which is then summarized into community profiles and allows users to view and analyze detailed data in interactive maps, charts, and tables.
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    The SAVI Community Information System
    (Office of the Vice Chancellor for Research, 2012-04-13) Derr, Michelle
    SAVI helps organizations and researchers make data-informed decisions by 1) providing reliable data about Central Indiana communities; 2) creating actionable information; 3) developing tools for data analysis; and 4) building capacity, especially for nonprofit and community-based organizations, to use data effectively. The SAVI Community Information System is the nation’s largest spatially-enabled system of its type, providing detailed, geographically precise information needed to make data-informed decisions. SAVI contains a wealth of free data about the social, physical, and economic conditions of Central Indiana communities from counties to neighborhoods and census tracts, as well as information on thousands of non-profit and community-based organizations and programs.
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    SAVI Community Information System
    (Office of the Vice Chancellor for Research, 2011-04-08) Derr, Michelle
    SAVI helps organizations and researchers make data-informed decisions by 1) providing reliable data about Central Indiana communities; 2) creating actionable information; 3) developing tools for data analysis; and 4) building capacity, especially for nonprofit and community-based organizations, to use data effectively. The SAVI Community Information System is the nation’s largest spatially-enabled system of its type, providing detailed, geographically precise information needed to make data-informed decisions. SAVI contains a wealth of free data about the social, physical, and economic conditions of Central Indiana communities from counties to neighborhoods and census tracts, as well as information on thousands of non-profit and community-based organizations and programs. SAVI is a donor-supported, web-based system (www.savi.org) that allows users to create custom maps, graphs, charts, and data profiles of over 2,000 Central Indiana communities. SAVI supports research: selecting appropriate study area; identifying community-based research partners; identifying and managing nurse-led community health activities; understanding health effects of neighborhood poverty; identifying health disparities; environmental health/environmental justice; identifying socio-spatial health knowledge networks; and understanding social and physical neighborhood context and influences on obesity, leukemia treatment adherence, cancer screening rates, asthma, diabetes, and STDs. SAVI also supports community research: identifying community assets, assessing needs, planning and evaluating programs, identifying collaborators, supporting grant applications, strategic planning, and visualizing patterns and trends. This hands-on exhibit will showcase SAVI and the ways in which it can support community and researcher decisionmaking needs. We will present a poster and have live demonstrations of our interactive website that provides a wealth of data and analysis tools.
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    SAVI Data Catalog
    (The Polis Center at IUPUI, 2011-04) Derr, Michelle; Colbert, Jay; Nalla, Goutami; Comer, Karen F.
    The SAVI Community Information System (SAVI) is the nation’s largest spatially-enabled system of its type, providing local organizations, researchers, and involved citizens with the detailed, geographically precise information needed to make well-informed decisions. This data catalog describes the wealth of free data provided by SAVI, including data about the social, physical, and economic conditions of Central Indiana communities from counties to neighborhoods and census tracts, as well as information on thousands of non-profit and community-based organizations and programs. SAVI exists as a Web-based, interactive system that allows users to create custom maps, graphs, charts, and data profiles of over 2,000 Central Indiana communities.