The Getty Research Institute has published the third edition of the very important “Introduction to Metadata” book edited by Murtha Baca.
As a specialist in metadata related to art and architectural resources, this text is practically my bible, and any update is most heartily welcome. In addition to providing a basic overview of metadata, it’s importance, and offering best-practice guidelines for it’s creation, this new edition contains information on linked open data, as well as resource description framework, making it an essential primer for anyone wanting to understand the importance of creating, editing, and preserving good metadata. There are also a chapter on rights metadata and a very thorough glossary.
Any digital project begins with well-defined, and well-formed, digital assets. I found this model and illustration a great example of how and where to begin when undertaking a digitization project.
As explained in the FAQ, “The model shows the logical sequence of receiving, appraising, selecting (or disposing of) data, followed by ingest and subsequent actions such as preservation, storage, access, and possibly transformations or reappraisals of the data. The model allows curators to identify potential weaknesses in policies, or gaps in the archival chain. It also identifies ongoing concerns such as community watch which could be incorporated into working practice, and identifies other stakeholders as sources or users of data, or as people who could pick up the process where your institution’s responsibilities end.”
Earlier this year, ARTstor announced that it was forming an alliance with ITHAKA, which currently operates JSTOR, Protico, and Ithaka S + R. Having ARTstor linked to JSTOR provides researchers not only with high-quality images of works of art, but also a wealth of research materials about that work.
Exploring Rembrandt is a “proof of concept” site produced by JSTOR labs and ARTstor labs using 5 Rembrandt paintings. Users can select one of the paintings, download a high-quality image from ARTstor, view the metadata provided by the owning institution, and find articles about the work via JSTOR.