Whether the data may or may not be selected for ingest into an archive (i.e., does the data conform to archival standards, can the data be stored and preserved?)
• Which transformations can be performed on the data (e.g. migration to new file formats) • How easily other researchers can find and understand the data for reuse • Whether the data can be proven to be authentic and have integrity (i.e. is what it purports to be and has not been changed or tampered with since creation, a crucial characteristic of scientific data) Be they simple or complex objects or structured data such as databases, data — once conceived and created — become the centre of the Curation Lifecycle.
