Metadata 2020 was established in 2017 with a bold mission to facilitate the collaboration of all involved in scholarly communications to consistently improve metadata to enhance discoverability, encourage new services, and create efficiencies, with the ultimate goal of accelerating scholarly research. As our name implies, we also scheduled a 2020 deadline for our work. As we consider our progress at the project midpoint, we have a full journey to be proud of.
One of the interesting ingredients for success in several current metadata projects is agreement across communities about what metadata are important for various use cases. In an earlier blog, I introduced the idea that metadata recommendations provide descriptions of which documentation concepts communities or organizations believe are important. These recommendations provide an opportunity to identify similarities and differences between community beliefs. We have collected recommendations from 10-20 organizations and communities as part of an NSF Project aimed at evaluating metadata collections in various dialects with respect to these recommendations.
no·men·cla·ture The devising or choosing of names for things, the body or system of names in a field. For me, it started with earthquake prediction – trying to find signals – real signals. I needed consistent long-term datasets. I needed to find changes and then figure out if they were real… Turned out that most signals were changes in how things were measured… I needed good documentation.