Topic outline

  • Course overview

    The aim of this workshop is to connect the deepsea biological community to OBIS, with the aim to establish a deepsea OBIS node and develop a customised deepsea OBIS data portal. This is in response to the call from the OBIS Steering Group meeting (Feb 2015) to liaise with INDEEP and O'Hara et al (2015) to establish a global deep-sea biodiversity data-sharing platform.

    Course topics

    • Training deep-sea scientists in data management (OBIS standards and best practices)? and data access and data processing using OBIS
    • Hands-on data curation and archeology (digitizing historical datasets and QA/QC of existing datasets in OBIS)
    • Design of a new OBIS deep-sea data and information portal (which products would be useful for making it policy-relevant?), connecting OBIS with other information systems (e.g. WoRDDS, Deep-sea species traits, deep-sea vocabs)
    • Sustainability (develop a work plan, share responsibilities and tasks, funding)
    • Welcome and Introductions

      a.Introduction to objectives of the training workshop (Tim O'Hara)

      b. Introduction to IOC, IODE, OBIS, OTGA (Ward Appeltans)

      c. Introduction to INDEEP (Maria Baker)

      d. Introduction to WoRDSS (Nick Higgs)

      e. Introduction of participants (all)

    • OBIS standards and best practices

      a. OBIS data format, incl OBIS-ENV-DATA standard (Pieter Provoost)

      b. OBIS metadata best practices (Leen Vandepitte – VLIZ/LifeWatch)

      c. OBIS/LifeWatch QC procedures (Leen Vandepitte – VLIZ/LifeWatch)

      d. OBIS data and metadata publishing procedures (IPT) (Pieter Provoost)

    • Hands-on work processing own datasets

      with support from VLIZ/LifeWatch staff.

      The following datasets could be processed and be added to the new OBIS Deepsea IPT:

      1. seamountsonline:
      2. Deep Atlantic Bivalves:
      3. Deep Atlantic Gastropods:
      4. Lau Basin Vent Expeditions:
    • OBIS data access, processing and visualisation (API, R, GIS)

    • Hands-on work processing own datasets (part 2)

      with support from VLIZ/LifeWatch staff

      • Evaluation of performance (presentations of results)