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Research infrastructures

Research Infrastructures are (virtual) meeting points for researchers in a broad disciplinary field to share, collaborate, network, develop and contribute solutions to the research needs of researchers in their community

Resources

  • Research Infrastructures Should Inspire, Theoretically and Practically

    Agiatis Benardou began her academic career with degrees in ancient history, and her first employment was in cultural organisations. She met and was hired by a scholar who introduced her to digitisation projects and as a result she was exposed to the 'digital world'. Dr Bernardou became involved in preparing DARIAH as a project, and her experience in digitisation was useful in her professional transition into work in a research infrastructure. She argues that research infrastructures are all about people. They should focus on inspiring researchers theoretically, and also practically by exposing them to the most state-of-the-art tools and techniques.
  • We Are a 'People Infrastructure' and Training is Crucial to That

    In this video, Laurent Romary gives his perspective on training and education in research infrastructures. He reveals how his engineering background taught him precision in analysing computer concepts, and how this has impacted on his role in a humanities research infrastructure. He proceeds to focus on DARIAH's role as a 'people infrastructure' and the importance of training in that. He considers the importance of adaptability of training to learners from differents scholarly communities and competence levels.
  • We Should Think More About Learning Environments

    In this video, Sinai Rusinek explains her background in philosophy, together with her experience of the material text from work in the library. In her postdoctoral career, she began to seek out digital techniques that had not been available to her in her single-disciplinary studies. Dr Rusinek reveals that her own source of learning was at international workshops, including one organised by DARIAH-DE. She found this mode of learning inspiring in organising her own workshops and hackathons in Israel. She recommends that we should all think more about learning environments and how we learn best, collaboratively. Possibly, she recommends, we should organise more 'hackathon-like' events.
  • You don't have to be a programmer, but being technically equipped is important in the digital humanities

    Martin Lhoták first began digital research in an IT department, which formed his connection with information systems and databases, as well as the development of software tools and the digital humanities. Unlike many librarians, he does not have a humanist background, but instead a technical education, so finds that he speaks differently from the humanities scholars he works with. However he finds interactions with these scholars interesting and inspiring. Regarding training, he argues that being technically knowledgeable - though not necessarily a programmer themselves - is essential for doing research in the digital humanities.
  • Researchers Have to Talk a Lot, Exchange Ideas - to Try to Understand Each Other

    Salvador Ros has a background in physics and computer science, and is now working in the digital humanities. Humanities scholars and scientists have different ways of thinking, he points out in this video. This can be a problem, he finds. Both sides lack knowledge about each other's disciplines, so researchers have to talk a lot, exchange ideas - to try to understand each other. Humanities scholars who want to conduct digital research need to know at least the basic concepts of the relevant programming languages, he argues. He ends by discussing the definition and roles of a 'research infrastructure' such as DARIAH, especially in facilitating digital tools and how to use them in relation to our research questions.
  • Digital Humanities Research Questions and Methods

    This module is dedicated to developing research questions in the Digital Humanities (DH), especially on finding, working with, and contributing data to digital collections and using digital Research Infrastructures (RIs).
  • Manage, Improve and Open Up Your Research Data

    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.
  • Introduction to Research Infrastructures

    By the end of this training module, you will be able to: understand the elements of common definitions of research infrastructures; be able to discuss the importance of issues such as sustainability and interoperability; understand how research infrastructure supports methods and communities; and be aware of some common critiques of digital research infrastructures in the Humanities.