Organizing Data

Data in LabCAS is organized into a logical hierarchy of collections, datasets and files that best fits the project and the data.

Data in LabCAS is organized according to the following logical hierarchy:

  • Collections: broad sets of related data from the same study, the same analysis, or the same project. 
  • Datasets: different sets of related files within the same collection - for example, the different patients of a clinical study, or the different labs participating in a study.
  • Files: all the files in a given dataset - for example, all the images for a single patient, or all the data supplied by a single lab.
  • Examples:
    • Collection=RNA Sequencing, Dataset=ERR164773, Files=ERR164773_1.fastq, ERR164773_2.fastq, gene.counts
    • Collection=University of Colorado Lung Images, Dataset=UCHSC_1467, Files=22021 P06-32 B4 Bronchus Intermedium x40 D1.jpg

Note: Before publishing data into LabCAS, you should organize files in a meaningful directory structure conforming to the model above.