Introduction
1. Preparing a DMP
2. Documenting and Organizing Data
3. Storing Data and Data Security
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Data Types & Data Purpose

Data type 1 – Observational data

This section contains the following topics:

  • dataset 1.1 – Patient details
  • dataset 1.2 – Tissue samples
  • dataset 1.3 – Survey data

Data type 2 – Experimental data

This section contains the following topics:

  • Dataset 2.1 – Digital images
  • Dataset 2.2 – Video and audio files
  • Dataset 2.3 – Cytometry data
  • Dataset 2.4 – Spectroscopy data
  • Dataset 2.5 – Electrophysiology data
  • Dataset 2.6 – Omics data
  • Dataset 2.7 – Vectors
  • Dataset 2.8 – Cell lines
  • Dataset 2.9 – Genetically modified organisms
  • Dataset 2.10 – Antibodies
  • Dataset 2.11 – Synthetic compounds
  • Dataset 2.12 – Recombinant compounds

Data type 3 – Simulation data

This section contains the following question:

  • Do you have simulation data?

Data type 4 – Derived and compiled data

This section contains the following topics:

  • Dataset 4.1 – Research documentation
  • Dataset 4.2 – Manuscripts
  • Dataset 4.3 – Algorithms and scripts
  • Dataset 4.4 – Software
  • Dataset 4.5 – Molecular models

Data type 5 – Canonical data

This section contains the following topics:

  • Dataset 5.1 – Nucleic acid sequences
  • Dataset 5.2 – Protein sequences
  • Dataset 5.3 – Chemical structures
  • Dataset 5.4 – Protein structures

Data purpose

This section contains the following question:

  • For who will the data be valuable?