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Auflistung nach Schlagwort "FAIR Principles"

1 - 3 von 3
  • Konferenzbeitrag
    RDM4MOD: Working Workshop on Research Data Management in Modelling in Computer Science
    (Modellierung 2022 Satellite Events, 2022) Goedicke, Michael; Lucke, Ulrike
    The demand increases to substantiate the claims made in the scientific processes in the realm of modeling in all areas of computer science. Thus, publications, funding proposals etc. require more often that empirical data (if available) along with the related context of experiments and the artifacts in terms of descriptions, software and other tools will be part of the publication or proposed project as well. Infrastructure will be provided to store and make available this kind of research data according to the FAIR – principles (Findable, Accessible, Interoperable, Reusable) as part of the National Research Data Infrastructure. Within this workshop, the consortium NFIDxCS collected requirements as well as existing approaches to build such an infrastructure with a special focus on modeling issues.
  • Textdokument
    Research Data Management in Computer Science - NFDIxCS Approach
    (INFORMATIK 2022, 2022) Goedicke,Michael; Lucke,Ulrike
    This contribution discusses the challenges and architectural considerations for Research Data Management in computer science and related infrastructure for implementing the so-called FAIR principles. The main challenge is, to cover the research data management requirements of the various sub disciplines of computer science. This diversity must be managed in a uniform way which entails a common structure for this task. We outline these requirements briefly and discuss then the concept of the so-called research data management container (RDMC) which encapsulates a given research data set in conjunction with all accompanying information and support (software, execution environment etc) in order to provide a portable unit for management, distribution and access control.
  • Konferenzbeitrag
    Utilizing Personas to Create Infrastructures for Research Data and Software Management
    (INFORMATIK 2024, 2024) Bernoth, Jan; Al Laban, Firas; Lucke, Ulrike
    Personas are often used in requirements engineering to analyze how people from target groups could use prospective systems or services. Recently, the personas approach also gained some popularity for demonstration and marketing purposes. While the usefulness of personas is uncontested, it is not always clear to which extent the target group is covered and which relevant perspectives are still missing. To address this problem, we present a systematic approach to gain a structured analysis of the personas used in a complex development process. The overall goal of this development is to provide an infrastructure for the management of research data and research software using a containerized approach. We applied the FAIR Ecosystem model with its components and relevant stakeholder groups as a basis of the persona construction, and we illustrate how we used this method to categorize the created personas and to identify blind spots. Not every role is currently defined at all institutions – but if they were, how would they shape research at universities in 2034?