This MLIS portfolio is comprised of my selected work from the UCLA MLIS degree program. It follows the MLIS Portfolio guidelines per the Department of Information Studies at UCLA and includes my professional development statement, curriculum vitae, issue paper, major paper, core course paper, two elective course papers, advising history and a full list of coursework. It is also available as a full PDF version.
(as of June 2021)
Algorithmic Description: Using Machine Learning for Arts-Based Collection Metadata
- The effort to utilize machine learning algorithms is becoming widely adopted by visual arts collections as a method to improve access to collections as digitization, born- digital materials, and online open-access efforts continually increase. By spotlighting the high levels of bias and low levels of transparency that often accompany algorithmic object description models, I aim to argue best practices for using machine learning in large visual arts collections.
Linked Data Ontologies for Art Archives / IS 438B: Archival Description and Access, Professor Jonathan Furner
- This paper aims to introduce and define the topic of linked open data for archives, examine past and present projects of linked open data for visual arts archival collections, and look at the future direction of art archive description and access with linked open data as the number of ontologies continues to increase.
Metadata Standards for Cultural Heritage Materials / IS 260: Description and Access, Professor Gregory Leazer
- Current metadata standards impact various communities in different ways depending on the effectiveness of its structure. Commonly used metadata standards, such as the Dublin Core, have proven to contain biases that undermine based on cultural and linguistic systems. The following discussion will critically examine how metadata operates, how it functions to regard cultural data differently, and how Dublin Core’s structure can fail to serve cultural hertiage collections and communities.
Moving Image Metadata Schemas / IS 289: Media Description and Access, Instructor May Haduong
- The process of cataloging moving images can take many different forms, largely depending on the metadata standards being used. Standards for the data’s structure, value, content, and encoded data format can vary widely, and the differences between them can result in contrasting levels of effective description and access. This paper will look at metadata structure standards in particular, through a critical analysis of common metadata schemas for cataloging moving images—MARC, Dublin Core, PBCore, and EN 15907— using the IFLA’s general principles as criteria to expose the varying levels of the standard’s quality and effectiveness for description and access.
Under the advisement of Miriam Posner and Michelle Caswell
Fall 2019 - Spring 2021