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The production and use of Big Data

Posted: Thu Feb 06, 2025 7:18 am
by asimj1
By developing sophisticated techniques and systems, secure data environments ensure that our outputs are non-disclosive, meaning individuals cannot be directly, or indirectly, identified.

This allows us as researchers to feel confident that our outputs meet the necessary ethical (and statistical) obligations of our organisations, our funders, and of society.

In a world of increasing data availability, and such as usa rcs data our movements, our transactions, and our preferences, feeling confident in the integrity of research has never been more important.

So go ahead, book your local SafePod.

I would recommend using a SafePod to anyone who is interested in using secure data in their research.

It will benefit yourself as a researcher and the impact of your work!

About the author
Sarah is an ESRC Postdoctoral Fellow at the Environment & Geography department, University of York investigating the links between socioeconomic and environmental inequalities and nature connectedness.

Specialising in nature-society relationships and geospatial approaches, Sarah is interested in employing quantitative, qualitative and participatory methods to study GIS, green and blue spaces, health & well-being inequalities & ecology. She has worked on several projects at York such as a Green Social Prescribing evaluation and the EU-funded H2020 PERICLES project. Sarah completed an ESRC White Rose funded PhD in 2020 on measuring the relationship between the natural environment and subjective well-being. This involved using regression methods to explore the determinants of human well-being from green/bluespace, air pollution, and biodiversity datasets at small-scale UK geographies. Prior to joining York, she worked in the environmental conservation sector for nearly 10 years in organisations such as UNEP-WCMC, FERA and ZSL.