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000282752 020__ $$a9781643684291 (electronic)
000282752 0247_ $$2doi$$a10.3233/SHTI230691
000282752 0247_ $$2pmid$$apmid:37697836
000282752 0247_ $$2ISSN$$a0926-9630
000282752 0247_ $$2ISSN$$a1879-8365
000282752 0247_ $$2doi$$aDOI: 10.3233/SHTI230691
000282752 0247_ $$2doi$$aDOI: 10.3233/SHTI230691
000282752 037__ $$aDKFZ-2023-01871
000282752 041__ $$aEnglish
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000282752 1001_ $$aWitte, Marie-Louise$$b0
000282752 245__ $$aAdaptability of Existing Feasibility Tools for Clinical Study Research Data Platforms.
000282752 260__ $$aAmsterdam$$bIOS Press$$c2023
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000282752 520__ $$aThe 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.
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000282752 650_7 $$2Other$$aFAIR
000282752 650_7 $$2Other$$aclinical study
000282752 650_7 $$2Other$$adata provision
000282752 650_7 $$2Other$$adata reuse
000282752 650_7 $$2Other$$afeasibility
000282752 650_7 $$2Other$$afindability
000282752 650_7 $$2Other$$asoftware tools
000282752 650_7 $$2Other$$auser interface
000282752 650_2 $$2MeSH$$aHumans
000282752 650_2 $$2MeSH$$aFeasibility Studies
000282752 650_2 $$2MeSH$$aBiomedical Research
000282752 650_2 $$2MeSH$$aPhysicians
000282752 7001_ $$aSchoneberg, Anne$$b1
000282752 7001_ $$aHanss, Sabine$$b2
000282752 7001_ $$0P:(DE-He78)e4ad7b4e684492de43cfcb12e5397439$$aLablans, Martin$$b3$$udkfz
000282752 7001_ $$aVehreschild, Janne$$b4
000282752 7001_ $$aKrefting, Dagmar$$b5
000282752 773__ $$0PERI:(DE-600)1088535-3$$aDOI: 10.3233/SHTI230691$$p39-48$$tStudies in health technology and informatics$$v307$$x0926-9630$$y2023
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