Education

  Training Workshop II: Data Management for Scientific data (19/11/2008 - 21/11/2008) - pictures

• Location: Innovocean Site, Wandelaarkaai 7, B-8400 Oostende, Belgium
• Teachers: Simon Claus & Klaas Deneudt
• Day I: Wednesday, 19 November, 2008

• 14.00 – 14.15: Welcome and presentation of VLIZ and the Innovocean Site; Aim of the workshop
• 14.15 – 15.00: General principles of data management (Presentation)
• Data and metadata (discovery metadata, ...)
• Data formats and exchange (International formats, data exchange...)
• Data processes
• From raw data to information
• Data treatment: archiving, documenting, integrating
• Quality Control
• 15.00 – 16.00: Use of Data management systems (Part I)
  • Use of spreadsheets or relational databases
  • Use of relational database
  • Limitations & benefits
  • Principles: entities, attributes, relationships
  • Tables, fields, relations

• 16.00 – 16.30: Coffee
• 16.30 – 18.00: Hands-on exercises on relational databases, Part set up databases
• Day II: Thursday, 20 November, 2008
• 09.00 – 10.30: Data Documenting and Archiving (Demonstration NIOO Data Portal)
  • Objectives and approach
  • Hands on exercise of the NIOO Data Portal
• 10.30 – 11.00: Coffee
• 11.00 – 12.30: Use of Data management systems (Part II)
  • Use of relational database
  • Queries, forms, reports
  • Import/Export of data to relational databases and statistical programs
• 12.30 – 13.30: Lunch
• 13.30 – 15.00: Hands-on exercises on relational database, Part queries

• 15.00 – 15.30: Coffee
• 15.30 – 17.00: Hands-on exercises on relational database, Part import/export

• 17.00 – 17.30: Use of Data management systems (Part III)
  • Use of spreadsheets
  • Summarizing: Checklist - Guidelines

• 17.00 – 19.30: A taste of the Flemish hospitality: Reception offered by VLIZ
• Day III: Friday, 21 November, 2008
• 09.00 – 09.45: Open repositories, Publishing data, data citation and data papers. (Presentation)
• 09.45 – 10.30: Managing your own data
  • Data from the NIOO trainees (Breakout groups)
• 10.30 – 11.00: Coffee
• 11.00 – 12.00: Managing your own data (Breakout groups)

• 12.00 – 12.30: Presentation results breakout groups

• 12.30 – 13.30: Lunch
• CLOSURE