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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Data Intelligence

ISSN

2096-7004

e-ISSN

2641-435X

Svazek periodika

2025

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

22

Strana od-do

163-184

Kód UT WoS článku

001466621700003

EID výsledku v databázi Scopus

2-s2.0-105003592889