Preserving human stories in an AI age

At a time when AI increasingly shapes how knowledge is organised, analysed, and acted upon, a University of Leeds resource offers the nuance, contradiction, and lived complexity of human existence.

The Timescapes Archive, a pioneering national repository for qualitative longitudinal data led by Professor Kahryn Hughes at the School of Sociology, is an essential asset for researchers and students across a wide range of disciplines, from sociology and social policy to health, psychology and environmental studies. With more than 840 datasets and nearly 20,000 files, it is one of the world's leading social science collections of qualitative longitudinal materials documenting how lives change over time.

These materials offer unparalleled insight into experiences such as childhood, family life, care, motherhood and fatherhood, work/life balance, disability, poverty, and welfare conditionality through methodological approaches that follow participants over months, years and even decades.

In a global data environment increasingly shaped by automation and quantitative logics, the Timescapes Archive operates as a space of resistance for human interpretative authority. Its data holdings contain complex stories, lived realities, and social histories from communities whose lives are often obscured or omitted from contemporary data infrastructures. Many of these communities experience a 'double muting' in which their voices are excluded from political accounts and their data are erased. Preserving comprehensive social histories is a form of data social justice, ensuring that future understanding and knowledge can be built on data expressing the wider complexity of what it means to be human across diverse communities.

What AI cannot see and why human stories still matter

As AI systems become more embedded in research and everyday life, they bring with them significant limitations. These systems carry well-documented biases that disadvantage women, minority ethnic communities and those whose lives do not fit dominant statistical patterns. For decades, medical research defaulted to male bodies as the standard, leading to bullet-proof vests designed for male torsos that proved lethal for women officers, and cardiac care protocols so gender-blind that women are 50% more likely to be misdiagnosed during heart attacks. These are material effects on bodies and lives, systematically disadvantaging particular groups. Algorithmic models also tend to flatten cultural nuance, dull emotional texture, and overrepresent groups that conform to dominant statistical patterns. In doing so, entire forms of social and cultural complexity become invisible within AI-driven data environments.

Large language models and generative AI systems intensify these concerns in particular ways. 'Ethical' models are trained on data reflecting distinctive Global North ethical sensibilities and scripts, and the very architectures of LLMs reflect certain global histories. Such systems also tend towards narrative resolution, smoothing away nuance, specificity, and inconsistency. Contradictions and complications in human behaviour are invisibly reconciled or sanitised. Rigorous qualitative research engages directly with messiness and contradiction, where troublesome data are often the most productive for intellectual insight and for the development of human-centred understanding.

Hostile data environments and policies

The pressures facing qualitative archives extend beyond AI itself. They originate in data governance frameworks built around quantitative formats. Within such frameworks, qualitative datasets are increasingly positioned as risky, hard to anonymise, and difficult to manage. The Timescapes Archive at the University of Leeds offers a national exemplar of how ethically robust and accessible qualitative longitudinal data can be stewarded under these conditions.

Recognised internationally, the Timescapes Archive plays an active role in advancing methods and shaping global debates on qualitative data governance, ethics, and reuse. Its collaborations with UKRI, the ESRC, the National Centre for Research Methods (NCRM), the Irish Qualitative Data Archive, and the former European Qualitative and QL Archiving Network (EQUALAN).

For researchers across all disciplines, the Archive serves as an exemplar for those navigating ethical and legally compliant approaches to the preservation and reuse of qualitative data.

Case Study 1: Policy interventions fail to reach the poorest families

Uniquely, Timescapes Archive data support analysis of longer-term social patterns that one-off studies cannot provide. For example, one strand of qualitative research using data from the Timescapes Archive follows families living in some of the most deprived communities in England over nearly two decades. The research shows that the 2008 recession had little noticeable effect on these households, where a national economic crisis made almost no difference to day-to-day circumstances already characterised by long-standing deprivation.

New datasets currently being added to the Archive from these same areas show that the poorest families continue to experience the lasting consequences of earlier industrial decline, despite two decades of policy interventions. Capturing continuity and change over people's lifetimes, the longitudinal data reveal that many men experience a distinctive 'poverty of family' related to unemployment, mental ill health, imprisonment, and separation, while others take on complex care responsibilities across their lifetimes. Without evidence documenting how and why policies fail to reach people, future interventions may repeat these failures, yet such complexity remains absent from the data shaping policy.

 

What makes Timescapes different

Unlike generic repositories, which often struggle to accommodate qualitative materials, the Timescapes Archive was designed for the distinctive demands of qualitative inquiry. Built by qualitative researchers, data curators, and archivists, it preserves the contextual detail, emotional depth, and narrative richness that give qualitative research its meaning.

Special features of the Archive include:

• Specialist curation, which preserves context throughout the archiving process.
• Stakeholder involvement, where the broad ecology of those engaged in stewardship of the data over data lifetimes, including originating researchers, secondary analysts, curators, and repository specialists, remain involved across time.
• Tiered access, balancing openness with ethical protection and oversight. Functions such as time embargo can delay reuse, especially of new datasets where original research teams are still writing up, while ensuring those teams retain access to their data as contracts end and people move on.
• Capacity to host complex ethnographic and multimedia materials.

This specialist data infrastructure allows emerging researchers to work with data in ways that respect its qualitative character, an experience that is increasingly rare as many institutions move toward standardised, quantitative data infrastructures.

 

Using the Archive for learning, discovery, and innovation

For researchers taking their first steps into advanced qualitative methods, the Timescapes Archive offers access to rich multimedia materials such as interview transcripts, focus groups, ethnographic notes, visual materials, timelines, and photographs, accompanied by the detailed documentation essential for meaningful and ethically robust reuse.

Archive holdings support research needs at all career stages. Early career and postgraduate researchers turn to the Archive for dissertation and thesis data exercises, using high-quality qualitative data to learn analytical techniques and develop coding skills. The Archive is particularly valuable for methods training in health, nursing, and social care, where understanding patient, family, or practitioner experience over time is essential.

Researchers in environmental studies, psychology, digital humanities, and policy research use the holdings to explore complex social questions through a longitudinal lens. The Archive also supports interdisciplinary data combinations for analyses that inform interventions tailored to specific populations.

Its tiered access structures and specialist curation model offer a working example of ethical, legally robust qualitative data management, an area of growing importance as Open Data mandates increasingly position qualitative research data as risky.

Case Study 2: Health inequalities in deprived Northern communities

Qualitative research from the archive follows families living in some of the most deprived communities in Northern England over a period of nearly twenty years.

In their interviews, participants describe losing parents, siblings, and other relatives in their fifties and early sixties, decades below the national average. Almost all participants over the age of forty-five experienced significant health problems and disabilities, and their accounts include frequent references to miscarriage, stillbirth, drug and alcohol dependency, and mental illness within their wider families.

These qualitative accounts speak directly to quantitative data, which show the research localities to be among the 10% most deprived in the UK, with correspondingly high rates of midlife morbidity and significantly shorter life expectancy than in adjacent, more affluent neighbourhoods within the same city.

These archived qualitative data uniquely reveal how statistics are lived and felt across generations, including how the expectation of early death shapes family relationships, how caring responsibilities intensify as health declines prematurely, and how poverty produces fundamentally different experiences of ageing, family, and place.

Such evidence demonstrates the distinctive contribution that qualitative data archives can make to understanding and addressing health inequalities. The voices and experiences preserved here represent forms of knowledge about health, mortality, and inequality that risk exclusion from the data architectures increasingly shaping healthcare planning and policy.

 

Watch the Timescapes story

To learn more about the Archive's vision and impact, watch an interview with Professor Kahryn Hughes.