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SUMMARY:Building R packages for maintaining data
DTSTART:20261106T090000Z
DTEND:20261106T103000Z
DTSTAMP:20261016T224700Z
UID:indico-event-146@events.digital-research.academy
CONTACT:dannygarside@digiresacademy.org
DESCRIPTION:Speakers: Alexios Tamparopoulos\n\nDo you remember that time w
 hen you opened a data folder and didn't know which dataset was the final o
 ne? Or the other time when you used a dataset\, only to find out afterward
 s that your colleague had created an updated version that you didn't have?
  Or the frustration of looking at variables in a dataset and having no ide
 a what they are?\nDatasets are dynamic\, and maintaining them is an ongoin
 g process. Documenting data should be an integral part of data maintenance
 \, not an afterthought. As a researcher\, you should also be able to valid
 ate your data\, track changes\, and showcase how they're used. More import
 antly\, you should have a way to share your data with the world\, includin
 g with your future self.\nGood practices in maintaining and sharing data c
 an solve most of these problems\, but R packages also provide the machiner
 y to support them. So\, if you already use R for your work\, building R pa
 ckages to store your data can be a game changer.\nIn this session\, we'll 
 walk through the process of documenting a dataset and building an R packag
 e. You should then be able to replicate the process with your own data.\nF
 ormat\n90 min online workshop\nPrerequisites:\nBasic R knowledge\nWhy am I
  teaching this course?\nBecause good practices around data maintenance can
  save a lot of time and effort\, and should be accessible to everyone.\nWh
 o am I?\nI am a quantitative researcher\, and former Marie-Curie Fellow\, 
 with a background in Mathematics\, Engineering\, and Risk Analysis.  \n
  \n\nThe Turing Way Community\, & Scriberia. (2020\, March 3). Illustrati
 ons from the Turing Way book dashes. Zenodo. The Turing Way Community & Sc
 riberia (2024).\n\nhttps://events.digital-research.academy/event/146/
LOCATION:Online
URL:https://events.digital-research.academy/event/146/
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