Project Scope

Across industry, there are a wide variety of quality control (QC) checks for SEND datasets. This is currently done without commonly acknowledged scope and intensity, based on the companies own approaches. For more confidentiality of the quality of SEND dataset across different stakeholders this group targets to:

Explore the variety of QC procedures and tools among different stakeholders
Identify practical amount of QC checking of SEND datasets (including the QC checks for the comparison of SEND datasets and the study report)
Identify a suite of tools and procedures (e.g. visualisation, documentation, etc) for QC
Develop recommendations for stakeholders for efficient and effective SEND QC practices and, in the long term, for starting a foundation of commonly agreed QC procedures

Project Leads	Email
Jesse Anderson (FDA)
Michael Rosentreter (Bayer)	michael.rosentreter@bayer.com
Katie Warren (PHUSE Project Assistant)	katie@phuse.global

CURRENT STATUS Q3/4 2022
Project Closed Published White Paper: Recommendations for SEND Dataset QC Best Practices Further worked on list of standard explanations for validation issues Presented findings at the PHUSE/FDA CSS 2022

CURRENT STATUS Q3/4 2022

Project Closed

Published White Paper: Recommendations for SEND Dataset QC Best Practices
Further worked on list of standard explanations for validation issues
Presented findings at the PHUSE/FDA CSS 2022

Objectives & Deliverables	Timelines
Produce list of standard explanations for validation issues	Q2 2022
White Paper: Recommendations for SEND Dataset QC Best Practices	Q2 2022
Planned poster for PHUSE CSS 2022	Q3 2022

Published Deliverables
Recommendations for SEND Dataset QC Best Practices	21 June 2022

Project Leads

Email

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