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SUMMARY:OT-ST-WS-12 Field-Ready: Structured data collection with Kobotoolb
 ox and Qfield for researchers
DTSTART:20261020T080000Z
DTEND:20261021T130000Z
DTSTAMP:20260819T232100Z
UID:indico-event-24@events.bremen-research.de
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Data Train UBRA (U Bremen Research Alliance)\n\nBack
 ground\nIn any research project\, data collection forms the foundation for
  deriving results and knowledge. This critical phase often lacks the detai
 led planning and documentation it deserves. By implementing a digital work
 flow for your research data collection process\, you can effectively organ
 ize your work\, carefully consider the information you need to collect\, a
 nd mitigate the risk of (meta)data loss.\nLearning contents\nThis course w
 ill focus on data collection as part of the research data lifecycle. We wi
 ll discuss what is important for the design of meaningful and scientifical
 ly valid surveys and mapping campaigns\, which data types are best suited 
 for capturing different quantitative and qualitative data\, what is inform
 ed consent and how to properly inform survey participants\, how to structu
 re questions (and options for answers) especially when we deal with sensit
 ive data.\nLearning objectives\nWe will learn to implement these aspects w
 ith two tools for digital data collection: KoboToolbox\, a tool for survey
 s for teams and the public\, and Qfield\, a tool for geospatial data colle
 ction for individuals and teams. Further\, we will apply XLS forms in both
  these tools\, a standard format that will support the documentation and r
 eproducibility of your data collection forms. The first day will focus on 
 the theory\, creating forms in KoboToolbox\, and XLS forms: this day is fo
 r the whole group. On the second day\, the time is entirely dedicated to Q
 field and is optional for those interested specifically in mapping campaig
 ns..\nPrior knowledge\n\nDay One: Theory\, KoboToolbox\, XLS forms - no pr
 evious knowledge required\nDay Two: Qfield - basic knowledge of a GIS (e.g
 . QGIS) is an advantage (but anyone who is interested can participate)\n\n
 Technical requirements\n\nOwn laptop or Android Smartphone or Android Tabl
 et\n\nConnection to Wifi via eduroam or equivalent access (see: https://ww
 w.uni-bremen.de/en/zfn/wifi/overview-wifi)\n\nInstalled KoboCollect App\n\
 n \nThe Lecturers\n\n\n\n\nAlexandra Nozik\nAlexandra Nozik works as a ge
 odata specialist at ZMT. As part of the Research Data Service workgroup\, 
 she supports scientists in designing data collection surveys and applying 
 digital tools\, while keeping in mind the rules of Good Scientific Practic
 e and responsible data management. She is an Ambassador for Qfield\, and h
 as been applying both KoboToolbox and Qfield in research context for many 
 years\, sharing her excitement for open-source tools in academia.\n\nDr. P
 hilipp Gies\nDr. Philipp Gies works as a data manager for the social scien
 ces at ZMT\, supporting researchers in the collection\, management\, and a
 rchiving of sensitive qualitative data. He brings hands-on experience with
  data management plans\, anonymisation\, informed consent\, and the collec
 tion of interview data.\n\n\n\n\n\n\n\n \nFind out more about the Data Tr
 ain lecturers on our website.\n \nThis event is organized by\n\n\nhttps:/
 /events.bremen-research.de/event/24/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/24/
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