Medical University of Bialystok. Research data.
  • Updated 26.09.2021 by OPEN ACCESS

    Research data

    Research data are construed as all data which have been collected, observed or created as part of the scientific research. Such data may include: observational, experimental, reference, numerical data, notes, surveys and questionnaires, photographs, software, simulation data, protocols, samples.

    Open Research Data (ORD) are data which are provided to any interested parties free of charge without legal or technical restrictions. ORD are part of the wider idea of Open Science, which includes Open Access. Open data is shared through the Internet (e.g., repositories) allowing them to be used, modified and shared.

    FAIR Data principles

    FAIR Data principles have been formulated to assist researchers and to properly prepare data for sharing.

    These principles state that the data shall be shared in a manner allowing them to be:

    • ​Findable – possible to be found;
    • Accessible – accessible to everyone;
    • Interoperable – possible to combine with other data;
    • Reusable – made in a manner allowing them to be used again;

    Additional information on FAIR Data principles is available at our FAQ page.

    Open data in Horizon 2020 and NSC Competitions

    Horizon 2020 and the National Science Centre competitions define obligations relating to the management of research data generated during the project and regarding open access. Both Horizon 2020 and NCN projects recommend storing data in open repositories. A simple rule should be followed when preparing data: “Research data should be as open as possible and as restricted as necessary.”


    Guidelines National Science Centre

    Guidelines Horizon 2020

    The preparation of projects requires a Data Management Plan (DMP). The plan should include:

    1. Description of the collected or generated data (format and type of files, amount of data);
    2. Data description and organisation (metadata, methodology, quality control);
    3. Selection of data for long-term storage (backups);
    4. Data sharing (how, when, which licence);
    5. Data management (data manager, cost);
    6. Ethical and legal issues (copyright, sensitive data, classified data).

    In the event of ethical or legal concerns, feel free to contact the Data Protection Officer (polish website) of the Medical University of Bialystok


    Tools for supporting the process of creating a data management plan:

    1. DMPonllineonline wizard with guidance and pre-made templates for plans;
    2. DMPToolonline wizard containing and help and best practices with respect to data management;
    3. Data Management Plan Template – prepared by the Plenipotentiary for Open Access to serve as a basis for the personnel of the Medical University of Bialystok who apply for research funding from the National Science Centre.

    Please see the FAQs for more information on the Data Management Plan, its benefits and the required contents.

    Open research data in the Bridge of Knowledge repository

    Multidisciplinary Open Knowledge Transfer System - Bridge of Knowledge allows for free sharing of research data in compliance with FAIR Data standards and long-term archiving of the deposited data on the platform's servers. The platform is managed by the Open Science Competence Centre of the Gdansk University of Technology Library Each employee of the Medical University of Bialystok will be permitted to share research data.

    For this purpose: