Fig. 2.

Our proposed data lineage management workflow. Each stage has its own data form, data service (top blue boxes) and data storage resource (bottom grey boxes). Decisions about what data to collect start with the formulation of research questions (modelled as data elements) and culminate in data collection to collect values for specific data elements to produce raw data files. Files are then semantically and structurally annotated by dataset descriptors and consolidated into primary datasets. Content from all datasets is then integrated according to a common observation model each observation semantically defined by an observation descriptor. Finally, user queried data is extracted and saved to analysis-ready annotated datasets.