  Data metrology -- the assessment of the quality of data -- particularly in
scientific and industrial settings, has emerged as an important requirement for
the UK National Physical Laboratory (NPL) and other national metrology
institutes. Data provenance and data curation are key components for emerging
understanding of data metrology. However, to date provenance research has had
limited visibility to or uptake in metrology. In this work, we summarize a
scoping study carried out with NPL staff and industrial participants to
understand their current and future needs for provenance, curation and data
quality. We then survey provenance technology and standards that are relevant
to metrology. We analyse the gaps between requirements and the current state of
the art.
