• About
    • How to build this book locally
  • 1 Introduction
  • 2 Organization
    • 2.1 Project structure
      • 2.1.1 Why does it matter to have a good project structure?
      • 2.1.2 Why is this a good project structure?
    • 2.2 Naming files
      • 2.2.1 Machine readable
      • 2.2.2 Human readable
      • 2.2.3 Orderable
    • 2.3 Organizational tips
      • 2.3.1 A quarantine directory
      • 2.3.2 Revoke write permission to raw data files
      • 2.3.3 A prose directory
  • 3 Tidy data
    • 3.1 Why tidy data?
    • 3.2 Common spreadsheets mistakes
      • 3.2.1 Using multiple tables
      • 3.2.2 Using multiple tabs
      • 3.2.3 Not filling in zeros
      • 3.2.4 Using problematic null values
      • 3.2.5 Using formatting to convey information
      • 3.2.6 Using formatting to make the data sheet look pretty
      • 3.2.7 Placing comments or units in cells
      • 3.2.8 Entering more than one piece of information in a cell
      • 3.2.9 Using problematic field names
      • 3.2.10 Using special characters in data
      • 3.2.11 Inclusion of metadata in data table
      • 3.2.12 Date formatting
  • 4 Data Quality
    • 4.1 Applications we love
      • 4.1.1 Dataset overview
      • 4.1.2 Taxa
    • 4.2 Geospatial
  • 5 Useful online resources
    • 5.1 Courses and webinars
    • 5.2 Best practices
    • 5.3 Others

Data FAIRy

Chapter 5 Useful online resources

5.1 Courses and webinars

  • https://datacarpentry.org/lessons/#ecology-workshop
  • https://www.biodiversity.aq/how-to/webinar-series-biodiversity-data-field-research/
  • https://inbo.github.io/coding-club/sessions/index.html
  • https://ourcodingclub.github.io/course

5.2 Best practices

  • https://data-blog.gbif.org/
  • https://obis.org/manual/
  • https://docs.gbif.org/georeferencing-best-practices/1.0/en/
  • https://docs.gbif.org/sensitive-species-best-practices/master/en/
  • https://ioos.github.io/bio_data_guide/intro.html

5.3 Others

  • https://www.gbif.org/resource/search?contentType=tool