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SUMMARY:OT-ST-WS-14 Preparation and processing of textual data - AI-assist
 ed application of Digital Humanities tools
DTSTART:20261001T080000Z
DTEND:20261001T130000Z
DTSTAMP:20260624T045900Z
UID:indico-event-22@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\nRapidly growing quantities of well-available digital textual data 
 are the basis for a scientific field that has developed in recent years - 
 the digital humanities. As with all types of data in general\, textual dat
 a should be carefully sourced\, created and prepared. This course is for a
 nyone who wants to approach the topic of textual data preparation and proc
 essing.\nLearning contents\nAfter an introduction to Digital Humanities\, 
 we will practice a generic "standard" workflow using free\, generic softwa
 re tools that are well applicable within a multidud of domains. The workfl
 ow includes these steps: Data Scraping/Web Scraping\, Data Refinement usin
 g OpenRefine\, and creating network visualizations using Gephi. If necessa
 ry or if there is still time\, we write a few lines of Python code in Jupy
 ter.\nLearning objectives\n\nRecognize the power of automated data acquisi
 tion through an example of web scraping\nGaining first proficiency applyin
 g the software tools OpenRefine\, and Gephi\nBeing able to write a few lin
 es of Python code in Jupyter \n\nPrior knowledge\nNo specific requirement
 s\, a general interest in learning new tools.\nTechnical requirements\n\nO
 wn laptop\n\nConnection to Wifi via eduroam or equivalent access (see: htt
 ps://www.uni-bremen.de/en/zfn/wifi/overview-wifi)\n\nInstallation of the l
 atest versions of OpenRefine\, and Gephi (participants will receive instal
 lation instructions prior to the workshop)\nIf you do not have any program
 ming environment (e.g. Python\, R\, Rstudio\, etc.) installed on your comp
 uter\, you can use web-based options: For example\, participants with acce
 ss to the Uni Bremen ZfN Services can use the Uni Bremen JupyterHub. Alter
 natively\, participants from Germany can use the NFDI JupyterHub.\n\n \nT
 he Lecturer\n\n\n\n\nDr. Manfred Nölte\nDigital Humanities Advisor and Su
 bject Librarian for Mathematics and Computer Science at the State and Univ
 ersity Library 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/22/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/22/
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