With the recent increase in data volumes and algorithnm complexity, clinical researchers are increasingly facing problems associated with information tracking, analysis reproducibility and the verification of scientific outputs. Systems are required that provide provenance data caoture and management as support for analyses. We present an approach that has been adopted in the neuGRID and N4U projects, which aims to provide detailed traceability to support research analysis processes in the study of biomarkers for Alzheimer’s disease. To facilitate the orchestration of complex, large-scale analyses in these projects we have adapted CRISTAL, a workflow and provenance tracking solution. The use of CRISTAL has provided a rich environment for neuroscientists to track and manage the evolution of both data and workflows in neuGRID and N4U.