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Creating Digital Collections: Museum Content and the Public
Zoe Faye Pickard1, S.E. Hackney2
1University of Pittsburgh, United States of America; 2University of Pittsburgh, United States of America
The internet is a valuable asset for making cultural heritage accessible to a broader audience, and in recent years many museums have experimented with methods of sharing their collections online. This move towards a digital presence for museums has raised questions about the role of curators, librarians, and other information professionals in creating and maintaining digital collections. If anyone can collect images, and display them together on their personal website, what work remains for cultural heritage professionals to do?
Using data collected from webscraping using Python, we evaluate the explicit metadata associated with online collections of objects created by both the public and museum professionals. We look at museum websites which offer the public the ability to develop their own, personal collections from the museum’s digitized holdings, (namely the Rijksmuseum) as well as collections utilizing similar technology on the Pinterest platform, in order to answer questions about the difference between professionally curated online collections, and ones created by the public. With the understanding that perceptions of images can be manipulated and altered by the context within which they are situated, we argue that distinguishing between professional and public collections can help information professionals better manage and anticipate patrons’ expectations and the methods they use to make meaning out of digital cultural heritage objects.
Semantic Mediation to Improve Reproducibility for Biomolecular NMR Analysis
Michael Robert Gryk1,2, Bertram Ludaescher1
1University of Illinois at Urbana - Champaign, United States of America; 2UCONN Health, Farmington, CT, United States of America
Two barriers to computational reproducibility are the ability to record the critical metadata required for rerunning a computation, as well as translating the semantics of the metadata so that alternate approaches can easily be con-figured for verifying computational reproducibility. We are addressing this problem in the context of biomolecular NMR computational analysis by developing a series of linked ontologies which define the semantics of the various software tools used by researchers for data transformation and analysis. Building from a core ontology representing the primary observational data of NMR, the linked data approach allows for the translation of metadata in or-der to configure alternate software approaches for given computational tasks. In this paper we illustrate the utility of this with a small sample of the core ontology as well as tool-specific semantics for two third-party software tools. This approach to semantic mediation will help support an automated approach to validating the reliability of computation in which the same processing workflow is implemented with different software tools. In addition, the detailed semantics of both the data and the processing functionalities will provide a method for software tool classification.
Performative Metadata: Reliability Frameworks and Accounting Frameworks in Content Aggregation Data Models
Rhiannon Stephanie Bettivia1, Elizabeth Stainforth2
1University of Illinois, Urbana-Champaign, United States of America; 2University of Leeds, United Kingdom
Metadata is not a new concept: it has existed for hundreds of years, with different forms and functions. In contemporary settings, we think about metadata serving administrative, descriptive, and technical functions. These roles are often in the service of common goals to identify information so that it can be found and used according to the discipline or industry from which it comes. But as modes of accessing and using information change, so too does the role of the data about that data, the metadata. Even if the metadata itself does not change, it comes to serve new functions, and these functions merit additional study. In this paper, we argue that in the contemporary political landscape of information, metadata schemas stemming from distinct ontological approaches take on fundamentally performa-tive roles, and different underlying approaches mean that the performativity of the metada-ta is also enacted differently.
Uncovering Hidden Insights for Information Management: Examination and Modeling of Change in Digital Collection Metadata
Oksana L. Zavalina, Shadi Shakeri, Priya Kizhakkethil, Mark E. Phillips
University of North Texas, United States of America
This paper reports a study that measured and categorized metadata change in the Texas Patents digital collection’s descriptive metadata, which is based on the local version of Dublin Core. A comparative analysis of change resulting from multiple metadata editing events allowed authors to identify the most frequently occurring categories and subcategories of change, as well as metadata fields that are edited most often. Findings and implications, as well as future and concurrent research are discussed.