Skip to main content Skip to docs navigation

Research Data

On this page

Definition of research data

Research data is “any information collected, stored, and processed to produce and validate original research results” [DeWitt Wallace Library]. There is no consensus on the definition, as it varies depending on disciplines and research funders.

Common data types in microbiology

Data types in microbiology include the following:

  • Crystallographic data
  • Geospatial data
  • Image data
  • Linked genotype and phenotype data
  • Linked Open Data (LOD)
  • Macromolecular structures (e.g. electron microscopy data)
  • Microbiome data (e.g. physical microbiome interactions)
  • Nucleic acid sequences (e.g. raw sequencing data (reads or traces), genome assemblies, annotated sequences, sample metadata) such as:
    • DNA sequences
      • (Meta)genomes
      • Genetic polymorphism
      • Genomic features
      • Genomic organization
    • RNA sequences
      • 16S, 18S and ITS ribosomal RNA sequences
      • Functional genomics / gene expression data (e.g. ribosome profiling)
      • RNA-protein interactions
      • Small RNA (sRNA)
      • Transcriptomes
  • Protein sequences
    • Protein-protein interactions
    • Proteomes
  • Quantitative and predictive food microbiology
  • Sample and project (meta)data
  • Scientific texts
  • Semantic data
  • Species interaction data (e.g. physical microbial interaction data)
  • Standardized bacterial information
  • Vertebrate-virus network