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DTSTAMP:20260614T170704Z
UID:851de182-1860-4b29-9b85-9e2f155ad05f
DTSTART:20231214T080000Z
DTEND:20231214T110000Z
DESCRIPTION:Researchers in the life sciences often spend a significant amou
 nt of time on data-wrangling tasks\, such as reformatting\, cleaning\, and
  integrating data from different sources. Despite the availability of soft
 ware tools\, they often end up with difficult-to-reuse workflows that requ
 ire manual steps. Omnipy is a new Python library that offers a systematic 
 and scalable approach to research data and metadata wrangling. It allows r
 esearchers to import data in various formats and continuously reshape it t
 hrough typed transformations. For large datasets\, Omnipy seamlessly scale
 s up local test jobs and provides persistent access to the data state at e
 very step. This workshop will provide down-to-earth tutorials and examples
  to help data scientists in the life sciences make use of Omnipy to wrangl
 e real-world datasets into shape. The workshop is divided into three parts
 : \n\n1. The first part will introduce the concepts of models\, datasets\,
  tasks and flows in Omnipy through small examples. We will also touch upon
  Python type hints and Pydantic models as needed\, as these are important 
 building blocks for Omnipy. \n\n2. In the second part\, the participants w
 ill be provided with a rough example dataset that requires cleaning. As a 
 hands-on exercise\, the participant will carry out step-wise parsing and s
 haping of the data to make it comply with a specified metadata schema. \n\
 n3. In the last part\, the participants will be introduced to the metadata
  mapping functionalities in Omnipy and led through another hands-on exerci
 se to set up a transformation that maps the data from one metadata schema 
 to another.
LOCATION:Ole-Johan Dahls hus\, 23B Gaustadalléen
SUMMARY:Using Omnipy for data wrangling and metadata mapping
URL;VALUE=URI:https://www.mn.uio.no/sbi/english/events/oslo-bioinformatics-
 workshop-week-2023/index.html#02
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