Capture and Re-use of Ground Truth (to enhance cohort building)

TY - CONF

T1 - Capture and Re-use of Ground Truth (to enhance cohort building)

AU - Law, Suzie

AU - Friel, James

PY - 2024/6/12

Y1 - 2024/6/12

N2 - Research projects often go to considerable time and expense to gather ‘ground truth’ from subject matter experts. This project aims to provide a simple mechanism to support bringing this data asset back into a central location where it can be linked to existing data for use in future research projects. The Researcher Generated Outputs (RGO) application is a simple, configurable tool designed to capture Ground Truth results generated by researchers. Starting with an initial structured interview with the researcher, the cohort building team can define what ground truth items should be captured and how to link them back to existing data. From this, the cohort building team can use RGO to construct a template for the researcher to populate and return. These templates are .CSV or .XLS documents, for which the researchers can define the column headings. They can then either populate a pre-generated template created by RGO, or generate their own file as long as it matches the agreed criteria. Returned RGO ground truth templates are fed back into the RGO system, where they can be exposed to the team's cohort building toolset. This additional data is fully attributable back to the original researcher and any DOI or publications therein. These ground truths aim to improve the quality of data available for future research while expanding the visibility of the research community through the strong attribution of previous work.

AB - Research projects often go to considerable time and expense to gather ‘ground truth’ from subject matter experts. This project aims to provide a simple mechanism to support bringing this data asset back into a central location where it can be linked to existing data for use in future research projects. The Researcher Generated Outputs (RGO) application is a simple, configurable tool designed to capture Ground Truth results generated by researchers. Starting with an initial structured interview with the researcher, the cohort building team can define what ground truth items should be captured and how to link them back to existing data. From this, the cohort building team can use RGO to construct a template for the researcher to populate and return. These templates are .CSV or .XLS documents, for which the researchers can define the column headings. They can then either populate a pre-generated template created by RGO, or generate their own file as long as it matches the agreed criteria. Returned RGO ground truth templates are fed back into the RGO system, where they can be exposed to the team's cohort building toolset. This additional data is fully attributable back to the original researcher and any DOI or publications therein. These ground truths aim to improve the quality of data available for future research while expanding the visibility of the research community through the strong attribution of previous work.

UR - https://www.sinapse.ac.uk/wp-content/uploads/2023/11/2024-ASM-Programme-V2.pdf

M3 - Poster

T2 - SINAPSE 2024 ASM

Y2 - 12 June 2024 through 12 June 2024

ER -