  A key part of the NLP ethics movement is responsible use of data, but exactly
what that means or how it can be best achieved remain unclear. This position
paper discusses the core legal and ethical principles for collection and
sharing of textual data, and the tensions between them. We propose a potential
checklist for responsible data (re-)use that could both standardise the peer
review of conference submissions, as well as enable a more in-depth view of
published research across the community. Our proposal aims to contribute to the
development of a consistent standard for data (re-)use, embraced across NLP
conferences.
