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FAIRifcation and semantic modeling of a body composition dataset containing age, gender, body weight/height, fat-free mass measured with either BODPOD or BIA.

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FAIR-body-composition

In this repository we present the semantic model in RDF for two cases (dummy data):

  1. FAIR-HVA-ex1.ttl: A subject who was a patient with a feminine gender and resistance+reactance measured with BIA (Bio-electrical Impedance Analysis)
  2. FAIR-HVA-ex2.ttl: A subject who was not a patient with a masculine gender and fat-free mass measured with a BODPOD (Air displacement plethysmography)

What is more?

  • The ShEx-file is for validation of the model
  • The JSON-file contains all steps in OpenRefine (version 3.3) to create the final Turtle-file
  • The original (SPSS-)datafile and accompanying Turtle-file contain privacy sensitive information and are therefore only available under strict conditions in the institutional resposity UvA/HvA figshare (doi to add)

More information about the project and data: see the Github-wiki


Amsterdam University of Applied Sciences (AUAS), Center of Expertise Urban Vitaly, SIA-project Mensen in Beweging

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FAIRifcation and semantic modeling of a body composition dataset containing age, gender, body weight/height, fat-free mass measured with either BODPOD or BIA.

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