Edward G Neilan

Dr. Edward G Neilan

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2018 in Mechanisms of Ageing and Development
Verified
Journal Article
Closed access
ISInes Sanchez-Roman
Ines Sanchez-Roman
Sofie LautrupSofie Lautrup
Sofie Lautrup
MAMaria Diget Aamann
Maria Diget Aamann
ENEdward G Neilan
Edward G Neilan
JØJohn R. Østergaard
John R. Østergaard
Tinna V. StevnsnerTinna V. Stevnsner
Tinna V. Stevnsner

8 April 2024 in Data
Verified
Journal Article
Open access
PDF file
ASAnando Sen
Anando Sen
VHVictoria Hedley
Victoria Hedley
EDEva Degraeuwe
Eva Degraeuwe
SHSteven Hirschfeld
Steven Hirschfeld
RCRonald Cornet
Ronald Cornet
VSVolker Straub
Volker Straub
The conect4children (c4c) initiative was established to facilitate the development of new drugs and other therapies for paediatric patients. It is widely recognised that there are not enough medicines tested for all relevant ages of the paediatric population. To overcome this, it is imperative that clinical data from different sources are interoperable and can be pooled for larger post hoc studies. c4c has collaborated with the Clinical Data Interchange Standards Consortium (CDISC) to develop cross-cutting data resources that build on existing CDISC standards in an effort to standardise paediatric data. The natural next step was an extension to disease-specific data items. c4c brought together several existing initiatives and resources relevant to disease-specific data and analysed their use for standardising disease-specific data in clinical trials. Several case studies that combined disease-specific data from multiple trials have demonstrated the need for disease-specific data standardisation. We identified three relevant initiatives. These include European Reference Networks, European Joint Programme on Rare Diseases, and Pistoia Alliance. Other resources reviewed were National Cancer Institute Enterprise Vocabulary Services, CDISC standards, pharmaceutical company-specific data dictionaries, Human Phenotype Ontology, Phenopackets, Unified Registry for Inherited Metabolic Disorders, Orphacodes, Rare Disease Cures Accelerator-Data and Analytics Platform (RDCA-DAP), and Observational Medical Outcomes Partnership. The collaborative partners associated with these resources were also reviewed briefly. A plan of action focussed on collaboration was generated for standardising disease-specific paediatric clinical trial data. A paediatric data standards multistakeholder and multi-project user group was established to guide the remaining actions—FAIRification of metadata, a Phenopackets pilot with RDCA-DAP, applying Orphacodes to case report forms of clinical trials, introducing CDISC standards into European Reference Networks, testing of the CDISC Pediatric User Guide using data from the mentioned resources and organisation of further workshops and educational materials.