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Data management

Data Management is a set of practices and techniques used by researchers to ensure that their data is organised, structured and easily reusable for future research

Resources

  • Boost your eHumanities and eHeritage research with Research Infrastructures

    EN
    This is a record of a webinar dedicated to the phase of the research life cycle “Develop Research Questions”. It dives into details of the topic of developing research questions with RIs, especially on finding, working with and contributing data to RI collections, using Virtual Research Environments, and tools.dLanguageTag
  • Make It Happen - Carrying Out Research and Analysing Data

    EN
    This is a record of a webinar dedicated to the phases of the research lifecycle “Carry out Research” & “Analyse Data” in the context of a research infrastructure. Carrying out research and analysis in the context of a research infrastructure requires a change in approach to research, where the harmonization of data and the ability to access and deploy interoperable services is crucial. This webinar gives an overview of the necessary elements required to set up a sustainable research infrastructure with regards to the management of data and services.dLanguageTag
  • Manage, Improve and Open Up Your Research Data

    EN
    This module looks at emerging trends and best practice in data management, quality assessment and IPR issues. It looks at policies regarding data management and their implementation, particularly in the framework of a Research Infrastructure.dLanguageTag
  • Formal Ontologies: A Complete Novice's Guide

    EN
    This module is specifically aimed at those who are not yet familiar with ontologies as a means of research data management, and will take you through some of the main features of ontologies, and the reasons for using them.dLanguageTag