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DEVPROCentre HES⁠-⁠SO de développement professionnel

Axe Recherche

Formations liées aux activités de Ra&D

Research Data Management : Quantitative Data

Public cible:
The workshop is intended for researchers, PHD students, research counsellors, librarians and in general for all people dealing with research data. The class is open to HES internal and external audience. The course will be provided in english and question can be asked in english, french and german.

The day will be divided in two parts:

First half of the day will be dedicated to an introduction to the main research data management (RDM) concepts, and the specificity of quantitative data management (QDM) in its context. Global pros and cons of QDM will be considered, then characteristics and suitable tools will be mentioned for each research data life-cycle step, in a case of QDM. Then will follow an introduction to Data Management Plan (DMP) writing for a research characterized by a quantitative data use.

Second half of the day will include three parallel workshops, respectively on:

  • Data acquisition and handling, with focus on the software REDCap,
  • Data documentation, with a focus on platform Renku,
  • Data sharing and publication, with a focus on the repository Olos.

    A round in the middle of the afternoon will allow everybody to try two of the provided workshops.

  • Syllabus:
    Research Data Management

  • Quantitative Data
  • Data Life-Cycle
  • Data Management Plan
  • Open Science
  • FAIR Principles

  • Research Data Management Tools:

  • REDCap
  • Renku
  • Olos

  • Learning outcomes:

    At the end of the workshops, participants will:

  • know about research data management, its broader context and its specific requirements for quantitative data,
  • know the advantages and disadvantages of research data management in the context of quantitative data management,
  • know good practices and tools for each step of the life cycle for quantitative data,
  • be able to write a Data Management Plan for their own research project,
  • know at least one tool and be able to apply good practices in hands-on workshops.

  • Cette formation n’est pas prise en compte pour l’obtention de l’Attestation didactique de la HES⁠-⁠SO.
    Intervenant-e-s:
    Eliane Blumer, Documentary Information Specialist, Research Data Management Coordinator at EPFL Library; Anne-Laure Kaufmann, Scientific Collaborator at HES⁠-⁠SO Valais-Wallis, DataAcquisitionUnit Project Manager; Silas Krug, Documentary Information Specialist at HEG-GE, Training and Consulting in Data Life-Cycle Management Project
    Lieu:
    Lausanne
    Ecole ou établissement:
    Haute école de la santé La Source
    Avenue Vinet 30
    1004 Lausanne
    Durée:
    1 jour
    Date:
    21.02.2020
    Horaire:
    09h00 - 17h00
    Organisation:
    Frais d'inscription:
    HES-SO   300.00
    Hors HES⁠-⁠SO   400.00
     
    Inscriptions ouvertes
     
    Contact
    Ch. du Musée 4
    1700 Fribourg
    T. +41 (0) 26 429 65 19
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