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User Stories

Each user story is an informal, general explanation of a desired ecosystem feature or process written from the perspective of a specific end user. The purpose of a User Story is to articulate how a piece of work will deliver a particular value back to the user. User stories are gathered by NICHD from their Ecosystem Working Group, and are used to initiate Ecosystem efforts.

Each story listed below has been selected to drive a data ecosystem improvement effort.

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Questions on a user story? Contact ecosystem-help@ll.mit.edu

User Stories List

S#	Full User Story	Related Efforts	Related Use Cases
S3	As NICHD staff, I want to be able to update a given field in the Data Repository Finder and track the date and reason for the change, so that I can go back later and review why that decisions was made	E1: Data Repository Finder	UC1.3 Edit Repository UC1.4 View Provenance
S30	As an NICHD researcher, I want to find the best data repositories for the sharing scientific data that I am generating in my project and understand the repository 's submission and sharing practices so I can complete my Data Management and Sharing Plan	E1: Data Repository Finder	UC1.5 Identify Repository
S31	As an NICHD program officer, I want to verify that researchers are using data repositories appropriate for the scientific data they plan to share and that their DMS Plan is consistent with the repository's expectations and requirements.	E1: Data Repository Finder	UC1.5 Identify Repository
S41	As a researcher/clinician, I want to combine participant-level data collected from multiple studies and data repositories to merge multiple data types for each participant and avoid working with inflated sample sizes to effectively study COVID in children	E2: Record Linkage Implementation Checklist
S42	As NIH staff, I want to fund research about the genetic underpinnings of COVID symptoms in children, but I want to avoid paying for duplicate whole genome sequencing for children who have already been sequenced in other studies	E2: Record Linkage Implementation Checklist
S43	As an NIH data repository, I want to facilitate longitudinal data analysis of de-identified data from multiple studies to enable data users to study the impact of long COVID in children	E2: Record Linkage Implementation Checklist