From Planning to Public Benefit: How Open Data Improves Your Research

Authors

Keywords:

open data, Data management, data strategy

Abstract

Research is increasingly a team sport, with collaborative research having the highest impact (Wuchty et al., 2007). Simultaneously, a significant ‘crisis’ of reproducibility in research has become apparent (Baker, 2016). An increasing demand for transparency, reproducibility, and collaboration has propelled open data to the forefront of scientific and policy agendas (Baker, 2016; Murray-Rust, 2008). Making data open, such that it can be freely used, modified, and shared by possibly anyone for any purpose has the potential to lower barriers to access, facilitate innovation, support evidence-based policy, and strengthen public trust in research (Open Knowledge Foundation ; Piwowar & Vision, 2013).

This paper explores key dimensions of open data, including principles and definitions, data management and planning, long-term retention and sustainability, and the pathways through which data is made publicly available. It also addresses challenges and future trends, offering guidance for researchers and institutions seeking to integrate open data practices responsibly.

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Author Biographies

  • Simon Mitchell, Brighton and Sussex Medical School

    Simon Mitchell is a systems biologist and cancer researcher using computational simulation to personalise cancer treatments. His work leverages both publicly available data and novel laboratory experiments to predict and validate personalised therapeutic targets.

  • Frances Pearl, Brighton and Sussex Medical School

    Frances Pearl is a computational biologist. Her lab develop AI methods that interrogate public datasets to identify precision therapies for the treatment of cancer.   She is also working with Cancer Research UK and HDR UK to help make cancer data FAIRer.

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Published

2026-05-07

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Articles