Completed Education & Skills Economics & Business

ESRC Capital Funding: Social Data Science Lab - Continuation of Methods and Infrastructure Development for Open Data Analytics in Social Research

In plain English

AI plain-English summary

The Social Data Science Lab is building a shared toolkit to let UK researchers collect and analyse social media data without needing a computer science degree. Most social research still relies on surveys and interviews that take months to complete. Meanwhile, vast streams of public data from Twitter, Facebook, and other platforms remain largely inaccessible to academics, charities, and local government because the technical skills and software required are too specialised. The Lab’s existing tools already help bridge this gap, but they run only on certain operating systems, break when social media companies change their application programming interfaces, and cannot easily be adapted by other researchers. This project will fix those problems: it will make the software cross-platform, integrate demographic and text-classification features, and create training materials so researchers can use the tools independently. If successful, this work will quietly reshape how social science is done. Policy analysts could track public sentiment during a health crisis in real time. Local authorities could monitor community needs without commissioning expensive surveys. The project also explores a sustainable business model to keep the infrastructure running beyond the grant period—ensuring that open data analytics becomes a permanent fixture of UK research infrastructure rather than a temporary experiment.

View original technical description
The Social Data Science Lab has been established with the mission of democratising access to big social data among the academic, public and third sectors, and to support real-time social data analytics for research, policy & practice. The proposed capability project is designed to address existing technical and methodological shortcomings in our ability to marshal big social data for social research purposes. In particular, the project will provide enhanced and sustainable social media data collection and analysis technologies to academic, public and third sector researchers. This capability project will achieve this by: 1. Providing the required technical resource and expertise to: i) optimise existing Lab social media analytics technologies for more efficient social media data collection, transformation and analysis across operating platforms (Windows, Linux, Mac OS); ii) integrate existing social media analytics tools (such as demographic and text classification tools); iii) make existing Lab tools extendable by the researcher community; iv) adapt Lab tools to user requirements and changes in social media provider technologies (i.e API changes); and v) support researchers in their social media data and analysis needs via dedicated Lab training and working-papers; 2. Providing the required social science resource and expertise to: i) liaise with the researcher community to gather social media tool requirements; ii) liaise with ESRC administrative, local government and consumer big data centres; iii) write training materials and coordinate capability building activities; and iv) support researchers in their data and analysis queries; 3. Ensuring the required investigator time to: i) manage the optimisation and enhancement of Lab tools and to implement a 'sustainability' business model; ii) manage existing partnerships with public, private and third sector users and the various ESRC big data network centres in the UK and elsewhere; iii) develop new partnerships with data providers; and iv) inform and oversee the development of world-leading training and capability building in Big Social Data Analytics; 4. Exploring options for the sustainable processing of social media analytics within UK HE research infrastructure and providing an options paper for use by existing ESRC big data investments, and ultimately Phase 3 of the network.

View the original record at the funder ↗

Researchers

Luke Sloan (Co-Investigator)Matthew Williams (Co-Investigator)Omer Rana (Co-Investigator)Pete Burnap (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Big, Open Data: Mining and Synthesis (BODMAS)
Social Sciences, Social Data and the Semantic Web (S3W)
Consumer Data Research Centre - Legacy Status
Social Media - Developing Understanding, Infrastructure & Engagement (Social Media Enhancement)
Leveraging the X-NET Network to Pilot and Evaluate Biomedical Data Science Initiatives across the UK

Original classification

Research Grant

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