Longitudinal big data needs to meet the individual to inform self-harm and suicide prevention in older adultsA well-established close relationship exists between self-harm and suicide in older adults, yet the detailed longitudinal outcome data needed to guide pathways for identification of at-risk individuals and intervention are lacking. The big data study of Cheung and colleagues extends our knowledge of self-harm in older adults by moving beyond simply identifying risk factors for self-harm crosssectionally, to ranking their relative importance, and longitudinally examining the incidence of self-harm in a large community-dwelling cohort (Cheung et al., 2020). This brings us a step closer to understanding factors contributing to self-harm in older people. However, we already know much about these population-level risk factors (Troya et al., 2019). Research in this field needs to delve deeper, and explore the clinical trajectories and broader outcomes of older adults who self-harm in combination with qualitative data derived from the individuals themselves.In older adults, there are common risk factors for self-harm and suicide, and self-harm is more likely to be lethal with greater reported intent to die (Fassberg et al., 2019;Schmutte et al., 2019). However, not all people who self-harm do so with suicidal intent, and the two groups may be distinct (DeJong et al., 2010), with the outcome of death following self-harm sometimes related to external factors rather than intent or another meaning of the behavior (Linden and Barnow, 1997). Nonetheless, knowledge of the risk factors for self-harm provides opportunities to understand a proportion of suicides and effectively intervene.The epidemiological risk factors for self-harm in older adults have been well described (Troya et al., 2019), and include physical illness, functional disability, mental illness (especially depression; alcohol misuse), and social issues (such as loneliness, social isolation, financial difficulties, and interpersonal problems). However, these potential risk factors are common in older adults in general, most of whom do not self-harm. Further, most of these data have been derived from quantitative research and hospital-based cohorts, rather than from community-dwellers and the older adult themselves (Troya et al., 2019;Wand et al., 2018b). Thus it is difficult for clinicians, especially in primary care,