UC DLFx 2018: DeMystifying Data Curation
UC DLFx 2018 Demystifying Data Curation - Vessela Ensberg (UCD), Emily Lin (UCM), Ho Jung Yoo (UCSD), Amy Never (UCB) Purpose of data curation: FAIR data principles--Findable, Accessible, Interoperable, Reusable. Qualities of data that make them valuable. Findable: DOI; Accessible: online, fixity-checked, backed-up---these are called Bit Curation (we depend on technology). Interoperability: file formats still active, can be open and read Reusability: metadata to put data in context for researchers to decide whether or not they can use it. This is curation for long term use. Curation for long term use: When: pre-ingest or post-ingest-- How: in depth (documentation happens down to each variable) or limited in scope. Tension between time, quality, and return on investment 4 models/case studies on how they approached curation in their experience, what skills are necessary, and what difficulty there is in providing those services. Case 1 Emily ...