Enabling quantitative data analysis through e-infrastructures

This paper discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities which are central to quantitative data analysis, referred to as ‘data management’, can benefit from e-infrastructure support. We conclude by discussing how these issues are relevant to the DAMES (Data Management through e-Social Science) research Node, an ongoing project that aims to develop e-Infrastructural resources for quantitative data analysis in the social sciences

GIS Youth Sports Facilities Map Application

Final project for URSP688M: Recent Developments in Urban Studies; Intermediate Geographic Information Systems (Spring 2022). University of Maryland, College Park.A class of Urban Planning and Geography students comb through county data to create a GIS application that maps all baseball and softball fields in Prince George's County.Prince George's County Parks and Recreationhttps://uofmd.maps.arcgis.com/apps/webappviewer/index.html?id=c0d3848e3cad4c9cb1f355015a360aa8https://www.dropbox.com/s/885f5vorbjaswm3/PALS_Application_WalkThrough_Final.mp4?dl=

Developing a Bicycle Network Map for Prince George's County

URS688M: Recent Developments in Urban Studies; Intermediate Geographic Information Systems (Spring 2022). University of Maryland, College Park.A class of Urban Planning and Geography students use county data to categorize every road in Prince George's county and assign it a stress value for bikers. Working with PG Planning and the local Vision Zero team, the GIS application depicts every county road color-coated with bike difficulty.Prince George's County Planning Boar

Pawndering Dog Parks for Prince George's County Parks

Final report for URSP600: Qualitative Research Design & Methods for Planners (Spring 2022). University of Maryland, College Park.Over the Spring 2022 semester, students investigated this topic while learning the skills associated with qualitative planning research. The researchers used methods that included archive and document analysis, environmental/behavioral and participant observation, soundscape and video documentation, critical cartography, and interviews. This study aimed to better understand how dog parks are used and the report makes recommendations for how to best design and locate dog parks to ensure their success. Questions of community, access, and equity were central to this inquiry. Seven case study sites were selected to examine a variety of park types, including variations in design, scale, location (urban/suburban), ecology (slope/stormwater issues, etc.), and material (grass/synthetic).Prince George's Department of Parks and Recreatio