Basic scientific research requires sound data management practices to support the collection and curation of data to encourage data sharing using internationally agreed rules of data exchange, and to facilitate data discovery and use in the long term. Research Data Management (RDM) covers the planning, creating, storing, organizing, accessing, sharing, describing, publishing and curating of data. RDM is mandated by many funding agencies and increasingly by governments to provide access to funded research results. The management of data, particularly large-scale data, has many challenges, and the roles of researchers, facilities that manage marine data, repositories and libraries are coming together to provide access, preservation and archive of this data and the scholarly products associated with it.

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The learning outcomes of this course are to:

  • Understand the importance of maintaining integrity (accuracy and completeness) of data.
  • Develop skills in writing and implementing a (Research) Data Management Plan, including those associated with Funding agency requirements and mandates.
  • Gain knowledge of the terminology of Open Access and Open Data as it applies to Research Data Management.
  • Advance knowledge in the current landscape of Research Data Management, and internationally organized efforts to develop standards and tools in this field.
  • Recognize the importance of good research data management practice.
  • Gain knowledge of the data publishing and citation process.
  • Access to European marine data repositories.
  • Awareness of main European based marine research projects (e.g. EMODNET, SeaDataCloud, etc)