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DTSTAMP:20260614T210823Z
UID:4179c991-34f1-4d01-85fe-aea023c21ec1
DTSTART:20240108T080000Z
DTEND:20240108T110000Z
DESCRIPTION:Researchers often spend a significant amount of time on data wr
 angling tasks\, such as reformatting\, cleaning\, and integrating data fro
 m different sources. Despite the availability of software tools\, they oft
 en end up with difficult-to-reuse workflows that require manual steps. Omn
 ipy is a new Python library that offers a systematic and scalable approach
  to research data and metadata wrangling. It allows researchers to import 
 data in various formats and continuously reshape it through typed transfor
 mations. For large datasets\, Omnipy seamlessly scales up local test jobs 
 and provides persistent access to the data state at every step.\n\nThis wo
 rkshop will provide down-to-earth tutorials and examples to help data scie
 ntists from any field make use of Omnipy to wrangle real-world datasets in
 to shape.\n\nThe workshop is divided into three parts:\n\n1. The first par
 t will introduce the concepts of models\, datasets and tasks in Omnipy thr
 ough small examples. We will also touch upon Python-type hints and Pydanti
 c models as needed\, as these are important building blocks for Omnipy.\n\
 n2. In the second part\, the participants will be provided with a rough ex
 ample dataset that requires cleaning. As a hands-on exercise\, the partici
 pant will carry out step-wise parsing and shaping of the data to make it c
 omply with a specified metadata schema.\n\n3. In the last part\, the parti
 cipants will be introduced to the metadata mapping functionalities in Omni
 py and will be led through another hands-on exercise to set up a transform
 ation that maps the data from one metadata schema to another. This half-da
 y workshop will form the knowledge basis for an intermediate-level worksho
 p after lunch that will focus more on defining and orchestrating data flow
 s\, including integrating with data sources and deploying flows onto exter
 nal compute resources.
LOCATION:Georg Sverdrups hus\, 39 Moltke Moes vei
SUMMARY:Using Omnipy for data wrangling and metadata mapping (Part 1 - Begi
 nner level)
URL;VALUE=URI:https://www.ub.uio.no/english/courses-events/events/dsc/2024/
 digital-scholarship-days/22-omnipy-part1.html
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