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UID:pretalx-foss4g-2022-TC7RGM@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T151500
DTEND;TZID=CET:20220824T154500
DESCRIPTION:Many definitions and criteria available\, explored and investig
 ated for OpenStreetMap (OSM) data quality are pertinent to certain dataset
 s\, which are usually authoritative or controlled datasets. Several studie
 s have used these measures successfully for OSM but this also makes the qu
 ality of the OSM dependent on the development of these datasets. This depe
 ndency exacerbates when such datasets are not available or condition to ep
 hemerality. Unavailability and temporal non-reliability of controlled data
 sets are some of the reasons OSM data quality is still a concern. OSM is a
 n ever-evolving digital space that has complex interconnectedness with phy
 sical space. To understand this interconnectedness we have to go back to t
 he fundamentals and understand the genealogy of OSM with different qualita
 tive and quantitative lenses. In this talk\, I would like to present a res
 earch vision on how we can apply these quali-quantitative lenses to concep
 tualize the data quality of OSM to reduce the dependency on controlled or 
 authoritative datasets. I will shed light on the layered conceptualization
  of OSM data quality with respect to different case study areas and projec
 ts that I am currently exploring. Layered conceptualization is based on th
 e hypothesis that OSM data should be intertwined with the region and conte
 xt-specific considerations. Understanding this intertwining will result in
  a better understanding of OSM data ethics and how it is related to the cu
 rrent data quality criteria already existing for OSM and other geo dataset
 s. The aim is not to expunge the current data quality initiatives but to a
 cknowledge and understand the exceptionality of OSM and its data quality. 
 This talk will be a progress talk for the OSM Utopia project.
DTSTAMP:20260404T021403Z
LOCATION:General online
SUMMARY:OpenStreetMap Utopia: Exceptional data quality - Muhammad Saleem
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/TC7RGM/
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