SEND Dataset QC Best Practices

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 2022Ā 

Project ClosedĀ 

Objectives & DeliverablesTimelines
Produce list of standard explanations for validation issuesĀ Q2 2022
White Paper: Recommendations for SEND Dataset QC Best PracticesQ2 2022

Planned poster for PHUSE CSS 2022

Q3 2022
Published Deliverables
Recommendations for SEND Dataset QC Best Practices21 June 2022