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SUMMARY:OT-ST-WS-15 Data preparation/processing - Qualitative data
DTSTART:20261006T080000Z
DTEND:20261006T130000Z
DTSTAMP:20260624T034500Z
UID:indico-event-23@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\nData holds the answers to all manner of questions and analysis met
 hods can extract those answers - linking the two is “data preparation”
 . Anyone interested in working with data will likely need to know at least
  some of the principles outlined.\nLearning contents\nIn the social scienc
 es\, “qualitative data” refers to various kinds of data – such as in
 terview transcripts\, observation protocols\, field notes\, pictures\, aud
 io or video recordings\, and material artefacts – that are less structur
 ed than “quantitative data” and thus cannot – and often should not 
 – be easily transformed into numerical relatives for statistical analysi
 s. By contrast\, qualitative data are often heterogeneous\, complex\, very
  information-rich\, highly context-dependent and sensitive – thus posing
  particular ethical\, legal and practical challenges for research data man
 agement (RDM)\, including data protection and informed consent\, anonymiza
 tion\, documentation\, and sharing beyond the research project of origin. 
 This hands-on workshop aims to make participants familiar with major chall
 enges of preparing qualitative social science data for (qualitative or qua
 ntitative) analysis and to introduce them to good practices and RDM tools 
 to deal with those challenges. Particular attention is given to appropriat
 e research documentation using a ‘study report’ and various context ma
 terials\, and to the anonymization/pseudonymization of qualitative text da
 ta\, including an introduction to the tool ‘QualiAnon’.\nThe following
  topics will be primarily addressed:\n\nWhat are qualitative data? Example
 s and characteristics\nWhy\, for Whom and How are qualitative data importa
 nt?\nProducing and preparing qualitative data for research/analysis\nFocus
 : finding\, re-using and sharing qualitative data\nFocus: documenting qual
 itative data and contexts\nFocus: anonymizing qualitative (text) data\n\nL
 earning objectives\nPractical insights and experiences with management of 
 qualitative research data.\nPrior knowledge\nnone\nTechnical requirements\
 n\nOwn laptop\n\nConnection to Wifi via eduroam or equivalent access (see:
  https://www.uni-bremen.de/en/zfn/wifi/overview-wifi)\n\n\n \nThe Lecture
 r\n\n\n\n\nDr. Viola Logemann\nViola Logemann is a Research Associate Post
 -Doc and RDC Research Data Management Expert for Qualitative Social Scienc
 e Data at Qualiservice RDC of the University of Bremen\n\n \n\n\n\n\n \n
 \n\n\n \nFind out more about the Data Train lectures on our website.\n 
 \nThis event is organized by\n\n\nhttps://events.bremen-research.de/event/
 23/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/23/
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