All Stories

  1. The disambiguation of people names in biological collections
  2. Collections do not have to Remain Ambiguous Forever: Seven steps to getting the correct people into your data
  3. Describing Living Collections and Specimens 
  4. Landscape Analysis for the Specimen Data Refinery
  5. Specimen Data Refinery: A landscape analysis on machine learning, computer vision and automated approaches to capture specimen metadata
  6. Label Transcript is Done – Now what do we do with that Data?
  7. State of Digitisation and Gap Analysis Surveys
  8. The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels
  9. Developing integrated workflows for the digitisation of herbarium specimens using a modular and scalable approach
  10. What data needs to be captured at the time of digitization for a biological collection.