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Integration, Cataloguing and Management of Biobanking and Clinical Data Using FAIR Genomes Metadata Schema

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00140821" target="_blank" >RIV/00216224:14330/25:00140821 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciengine.com/DI/doi/10.3724/2096-7004.di.2025.0005" target="_blank" >https://www.sciengine.com/DI/doi/10.3724/2096-7004.di.2025.0005</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3724/2096-7004.di.2025.0005" target="_blank" >10.3724/2096-7004.di.2025.0005</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Integration, Cataloguing and Management of Biobanking and Clinical Data Using FAIR Genomes Metadata Schema

  • Original language description

    In the dynamic environment of hospitals, valuable real-world data often remain underutilised despite their potential to revolutionize cancer research and personalised medicine. This study explores the challenges and opportunities in managing hospital-generated data, particularly within the Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic. Utilizing Next-Generation Sequencing (NGS) technology, MMCI generates substantial volumes of genomic data. Due to inadequate curation, these data remain difficult to integrate with clinical records for secondary use (such as personalised treatment outcome prediction and patient stratification based on their genomic profiles). This paper proposes solutions based on the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) to enhance data sharing and reuse. The primary output of our work is the development of an automated pipeline that continuously processes and integrates NGS data with clinical and biobank information upon their creation. It stores the data in a special secured repository for sensitive data in a structured form to ensure smooth retrieval.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Data Intelligence

  • ISSN

    2096-7004

  • e-ISSN

    2641-435X

  • Volume of the periodical

    2025

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CN - CHINA

  • Number of pages

    22

  • Pages from-to

    163-184

  • UT code for WoS article

    001466621700003

  • EID of the result in the Scopus database

    2-s2.0-105003592889