1. Data summary


What is the purpose of the data collection/generation and its relation to the objectives of the project?

What types and formats of data will the project generate/collect?

Will you re-use any existing data and how?

What is the origin of the data?

What is the expected size of the data?

To whom might it be useful ('data utility')?


Guidance – The type[s] of data that will be used in the project is[are] [insert the types of data that will be used such as experimental, observational, images, text]. The estimated size of the data is [insert data size]. The project will [collect/re-use existing/collect and re-use existing] data. The origins of the data will be [insert where data will be collected from and/or the origins of the re-used dataset].


Sample:


 Origin of data:   

  • Image files will be recorded from a confocal microscope.
  • RNA sequencing data will be generated from normal and tumor tissues from patients.
  • Patient data will be acquired from the XXX Register.
  • Survey responses will be acquired using the REDCap survey software.
  • Measurements of markers of liver and renal function will be collected in the SMART‐TRIAL system. · Respondent data will be acquired in clinical interviews.
  • Existing bioinformatics data will be used for new analyses.    


Data format:   

  • Biomarker Data will be saved in a .csv format.
  • PCR data will be saved in .csv format
  • Questionnaire data will be saved in SAS format.  
  • Data on prescribing practices before and after pilot trial will be managed in SAS (file format: .sas7bdat) and analyzed in STATA (file format: .dta).
  • Interview responses will be saved in Nvivo .nvp format.
  • Survey responses will be exported from REDCap to .csv format.
  • Register data will be received in spreadsheet format and will be converted to .tsv format before analysis.
  • Sequencing data will be in .fastq format.
  • Flow cytometry data will be saved in .fcs format.
  • Confocal images will be saved in .jpeg format.
  • Proteome raw data will be saved in .raw files
  • Raw methylation data will be in .idat format.
  • Raw genetic variation data will be in .vcf format.