• 09.00-09.30: Registration
• 09.30-10.30: Sally Chambers. General introduction into DH-basics, Research Data Management (RDM) and introduction on Data Management Plan (DMP)
• 10.30-11.00 Break
• 11.00-13.00: Maxim Romanov. Basics of open linked data; organising data for research; open linked data vs databases; version control and collaboration
  • data organization and data formats:
    • data formats (csv/tsv, YAML, xml, etc.): explanations
    • OpenITI example: URIs, folder structure, metadata, structural tagging (Detailed descriptions)
    • practical: participants organizing their own data (model)
  • version control and collaboration
    • Github.com and its main features
• 13.00-14.00 Lunch break
• 14.00-16.00: Maxim Romanov. Text analysis - Regular Expressions
  • Regular Expressions Practicum (files in your cloned repository)
  • Complex Example: Chronological Coverage of an Arabic corpus
• 16.00-16.30 Break
• 16.30-18.00: Maxim Romanov. Text analysis - Simple Scripting in Python
  • Preprocessing Arabic texts;
  • Keywords in Context (KWIC);
    • combining regular expressions and simple scripting, saving results;
    • Off-the-shelf solution: Antconc;
  • Frequency Lists;
    • generating frequency lists: step-by-step explanations;
  • Usage of Frequency Lists;
    • document distance: identifying similar texts;
    • creating frequency-based readers.