Book/Journal Article

DKFZ-2023-01871

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Adaptability of Existing Feasibility Tools for Clinical Study Research Data Platforms.

Witte, M.-L. ; Schoneberg, A. ; Hanss, S. ; Lablans, M.DKFZ* ; Vehreschild, J. ; Krefting, D.

2023
IOS Press Amsterdam
ISBN: 9781643684284 (print), 9781643684291 (electronic)

This record in other databases:

Please use a persistent id in citations: doi:DOI: 10.3233/SHTI230691   doi:10.3233/SHTI230691  doi:DOI: 10.3233/SHTI230691

Abstract: The increasing need for secondary use of clinical study data requires FAIR infrastructures, i.e. provide findable, accessible, interoperable and reusable data. It is crucial for data scientists to assess the number and distribution of cohorts that meet complex combinations of criteria defined by the research question. This so-called feasibility test is increasingly offered as a self-service, where scientists can filter the available data according to specific parameters. Early feasibility tools have been developed for biosamples or image collections. They are of high interest for clinical study platforms that federate multiple studies and data types, but they pose specific requirements on the integration of data sources and data protection.Mandatory and desired requirements for such tools were acquired from two user groups - primary users and staff managing a platform's transfer office. Open Source feasibility tools were sought by different literature search strategies and evaluated on their adaptability to the requirements.We identified seven feasibility tools that we evaluated based on six mandatory properties.We determined five feasibility tools to be most promising candidates for adaption to a clinical study research data platform, the Clinical Communication Platform, the German Portal for Medical Research Data, the Feasibility Explorer, Medical Controlling, and the Sample Locator.

Keyword(s): Humans (MeSH) ; Feasibility Studies (MeSH) ; Biomedical Research (MeSH) ; Physicians (MeSH) ; FAIR ; clinical study ; data provision ; data reuse ; feasibility ; findability ; software tools ; user interface

---

Contributing Institute(s):

1. Verbundinformationssysteme (E260)

Research Program(s):

1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2023

---

Database coverage:
; NCBI Molecular Biology Database ; SCOPUS

---