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UID:pretalx-qgis-uc2025-DLLWUP@talks.staging.osgeo.org
DTSTART;TZID=CET:20250603T110000
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DESCRIPTION:Field data collection for various disciplines\, such as forest 
 ecology or environmental technology\, traditionally relies on paper record
 s that need subsequent manual data entry and processing. As part of a 7-ye
 ar interdisciplinary project called FutureScapes\, that merges ecological 
 and environmental sciences with machine learning\, the participating teams
  will be trialling and\, potentially\, swapping to the QGIS based field wo
 rk mobile application\, MerginMaps. Our team is leading the trials and dep
 loyment of the app. We will present our experience with the obstacles and 
 difficulties of unifying data collection and management between different 
 disciplines that have various approaches to handling data. We will also pr
 ovide an overview of the benefits that a QGIS based field work app can hav
 e in an academic setting with short term projects and\, often\, changing f
 ield staff. The overview will include insights from the data management pe
 rspective\, such as how setting up clear and concise data collection forms
  improves clarity within teams themselves. In a country where summers are 
 short like in Estonia\, there is a limited time window for most field work
 . Advancements in field data collection\, especially for increased efficie
 ncy\, could lessen the burden of tightly packed field campaigns. Furthermo
 re\, we will discuss whether and how MerginMaps can benefit not only field
 -based recordings of data but also sampling in the field and the following
  sample processing in the lab.
DTSTAMP:20260512T213005Z
LOCATION:Birollen
SUMMARY:Rock\, paper\, app – can a field app beat paper records? - Minna 
 Ots
URL:https://talks.staging.osgeo.org/qgis-uc2025/talk/DLLWUP/
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