# Developing a data repository to support interdisciplinary research into childhood stunting: a UKRI GCRF Action Against Stunting Hub protocol paper

**Authors:** Kaitlin Conway-Moore, Darius Tetsa Tata, Peter Wood, Val Katerinchuk, D M Dinesh Yadav, Little Flower Augustine, Manne Munikumar, Assana Diop, Fassiatou Tairou, Modou Lamin Jobarteh, Bharati Kulkarni, Babacar Faye, Paul Haggarty, Claire Heffernan

PMC · DOI: 10.1136/bmjpo-2023-002443 · BMJ Paediatrics Open · 2024-06-05

## TL;DR

This paper describes a new data repository designed to help researchers and non-researchers work together to study childhood stunting.

## Contribution

The paper introduces a novel data repository with tools for interdisciplinary research and decision support.

## Key findings

- The AHDR includes a data discovery tool and metadata catalogue for managing stunting-related data.
- A decision support tool was developed to help non-researchers use the data.
- Ethical approval was obtained in multiple countries for the project.

## Abstract

As a topic of inquiry in its own right, data management for interdisciplinary research projects is in its infancy. Key issues include the inability of researchers to effectively query diverse data outputs and to identify potentially important synergies between discipline-specific data. Equally problematic, few semantic ontologies exist to better support data organisation and discovery. Finally, while interdisciplinary research is widely regarded as beneficial to unpacking complex problems, non-researchers such as policy-makers and planners often struggle to use and interrogate the related datasets. To address these issues, the following article details the design and development of the UKRI GCRF Action Against Stunting Hub (AASH)’s All-Hub Data Repository (AHDR).

The AHDR is a single application, single authentication web-based platform comprising a data warehouse to store data from across the AASH’s three study countries and to support data querying. Four novel components of the AHDR are described in the following article: (1) a unique data discovery tool; (2) a metadata catalogue that provides researchers with an interface to explore the AASH’s data outputs and engage with a new semantic ontology related to child stunting; (3) an interdisciplinary aid to support a directed approach to identifying synergies and interactions between AASH data and (4) a decision support tool that will support non-researchers in engaging with the wider evidence-based outputs of the AASH.

Ethical approval for this study was granted by institutional ethics committees in the UK, India, Indonesia and Senegal. Results will be disseminated via publications in peer-reviewed journals; presentations at international conferences and community-level public engagement events; key stakeholder meetings; and in public repositories with appropriate Creative Commons licences allowing for the widest possible use.

## Full-text entities

- **Diseases:** Stunting Hub (MESH:D006130)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11163590/full.md

## References

13 references — full list in the complete paper: https://tomesphere.com/paper/PMC11163590/full.md

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Source: https://tomesphere.com/paper/PMC11163590