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My passion is helping libraries share and disseminate their knowledge, services and…

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Journal of Library Administration October 2, 2016

A primary impact metric for institutional repositories (IR) is the number of file downloads, which are commonly measured through third-party Web analytics software. Google Analytics, a free service used by most academic libraries, relies on HTML page tagging to log visitor activity on Google's servers. However, Web aggregators such as Google Scholar link directly to high value content (usually PDF files), bypassing the HTML page and failing to register these direct access events. This article…
A primary impact metric for institutional repositories (IR) is the number of file downloads, which are commonly measured through third-party Web analytics software. Google Analytics, a free service used by most academic libraries, relies on HTML page tagging to log visitor activity on Google's servers. However, Web aggregators such as Google Scholar link directly to high value content (usually PDF files), bypassing the HTML page and failing to register these direct access events. This article presents evidence of a study of four institutions demonstrating that the majority of IR activity is not counted by page tagging Web analytics software, and proposes a practical solution for significantly improving the reporting relevancy and accuracy of IR performance metrics using Google Analytics.
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Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015) October 11, 2015

A university’s institutional repository (IR) contains the intellectual output of its faculty, staff and students. Its content is extensive and heterogenous, which complicates data aggregation and discovery tasks. To address these challenges, we propose the use of a conceptual ontology design pattern to model information for the IR domain which is general enough to be reused across different IR datasets.
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Library Resources and Technical Services Jul 2015

Aggregates have been a frequent topic of discussion between library science researchers. This study seeks to better understand aggregates through the analysis of a sample of bibliographic records and review of the cataloging treatment of aggregates. The study focuses on determining how common aggregates are in library collections, what types of aggregates exist, how aggregates are described in bibliographic records, and the criteria for identifying aggregates from the information in…
Aggregates have been a frequent topic of discussion between library science researchers. This study seeks to better understand aggregates through the analysis of a sample of bibliographic records and review of the cataloging treatment of aggregates. The study focuses on determining how common aggregates are in library collections, what types of aggregates exist, how aggregates are described in bibliographic records, and the criteria for identifying aggregates from the information in bibliographic records. A sample of bibliographic records representing textual resources was taken from OCLC’s WorldCat database. More than 20 percent of the sampled records represented aggregates and more works were embodied in aggregates than were embodied in single work manifestations. A variety of issues, including cataloging practices and the varying definitions of aggregates, made it difficult to accurately identify and quantify the presence of aggregates using only the information from bibliographic records.
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Morgan & Claypool Publishers May 15, 2015

This book describes OCLC’s contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing ‘cloud’ of interconnected resources that identify the things people want to know about when they approach the Internet with an information need.
The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world’s largest library…
This book describes OCLC’s contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing ‘cloud’ of interconnected resources that identify the things people want to know about when they approach the Internet with an information need.
The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world’s largest library cooperative, OCLC researchers have been active participants in the development of next generation standards for library resource description. By engaging with an international community of library and Web standards experts, they have published some of the most widely used RDF datasets representing library collections and librarianship.
This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web-accessible library catalog, but elsewhere on the Internet. Modeling data in a form that the broader Web understands will project the value of libraries into the Digital Information Age.
The exposition is aimed at librarians, archivists, computer scientists, and other professionals interested in modeling bibliographic descriptions as linked data. It aims to achieve a balanced treatment of theory, technical detail, and practical application.
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Dublin Core Metadata Initiative Oct 2014

This report discusses the development of an extension vocabulary for describing theses and
dissertations, using Schema.org as a foundation. Instance data from the Montana State University
ScholarWorks institutional repository was used to help drive and test the creation of the extension
vocabulary. Once the vocabulary was developed, we used it to convert the entire ScholarWorks
data sample into RDF. We then serialized a set of three RDF descriptions as RDFa and posted
them online…
This report discusses the development of an extension vocabulary for describing theses and
dissertations, using Schema.org as a foundation. Instance data from the Montana State University
ScholarWorks institutional repository was used to help drive and test the creation of the extension
vocabulary. Once the vocabulary was developed, we used it to convert the entire ScholarWorks
data sample into RDF. We then serialized a set of three RDF descriptions as RDFa and posted
them online to gather statistics from Google Webmaster Tools. The study successfully
demonstrated how a data model consisting of primarily Schema.org terms and supplemented with
a list of granular/domain specific terms can be used to describe theses and dissertations in detail.
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Journal of Library Metadata April 9, 2014

Linked Data has become a very important way to share information on the Web. The Visual Resource Association (VRA) Core 4 eXtensible Markup Language (XML) schema was used as a basis for developing a new VRA ontology that was highly interoperable across the Web. Once the model was developed, an eXtensible Stylesheet Language Transformation (XSLT) style sheet was created to test the model against an actual VRA Core 4 data set. The study successfully demonstrated how popular and widely consumed…
Linked Data has become a very important way to share information on the Web. The Visual Resource Association (VRA) Core 4 eXtensible Markup Language (XML) schema was used as a basis for developing a new VRA ontology that was highly interoperable across the Web. Once the model was developed, an eXtensible Stylesheet Language Transformation (XSLT) style sheet was created to test the model against an actual VRA Core 4 data set. The study successfully demonstrated how popular and widely consumed vocabularies can be used to form the basis for more granular vocabularies. The study also demonstrated how existing data can be successfully converted into Resource Description Framework (RDF) using an XSLT style sheet.
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OCLC Research Aug 2013

FAST (Faceted Application of Subject Terminology) Users: Summary and Case Studies, written by Research Assistant Jeff Mixter and Consulting Project Manager Eric Childress, includes case studies of sixteen parties (nine adopters, seven non-adopters) in six countries that have expressed interest in FAST, as well as a profile of OCLC’s own use of FAST.
FAST is an enumerative faceted subject heading schema derived from Library of Congress Subject Headings (LCSH). Development was initiated…
FAST (Faceted Application of Subject Terminology) Users: Summary and Case Studies, written by Research Assistant Jeff Mixter and Consulting Project Manager Eric Childress, includes case studies of sixteen parties (nine adopters, seven non-adopters) in six countries that have expressed interest in FAST, as well as a profile of OCLC’s own use of FAST.
FAST is an enumerative faceted subject heading schema derived from Library of Congress Subject Headings (LCSH). Development was initiated in 1998 by OCLC Research with the Library of Congress to work together on a research project aimed at developing a faceted controlled vocabularly based on LCSH. Over the period of the project, FAST has been built out into an eight-facet vocabulary with a universe of approximately 1.7 million headings across all facets and has been made available as Linked Open Data and integrated into a number of metadata workflows and discovery systems.
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Kent State Univsersity May 2013

Linked Data has become an increasingly important and valuable way for sharing data across the Internet. It is the basis for the Semantic Web and allows organizations to not only easily share data, but also connect data with other related data. Visual Resource Association (VRA) Core 4 is an XML schema-based data model for cataloging cultural objects and visual resources. Using the existing VRA Core 4 restricted XML schema, a new data model was developed that took advantage of popular domain…
Linked Data has become an increasingly important and valuable way for sharing data across the Internet. It is the basis for the Semantic Web and allows organizations to not only easily share data, but also connect data with other related data. Visual Resource Association (VRA) Core 4 is an XML schema-based data model for cataloging cultural objects and visual resources. Using the existing VRA Core 4 restricted XML schema, a new data model was developed that took advantage of popular domain specific vocabularies. Using popular vocabularies such as Schema.org, helps ensure that data will be interoperable with other data and can potentially help improve visibility on the Internet. Using the data model as a reference, an ontology was developed using Protege ontology editor. It illustrated how popular domain specific vocabularies can be combined with the existing VRA data model to create a new semantically-rich model that still retains the specificity and detail of the original XML restricted schema. In addition to developing a new VRA data model, an XSLT stylesheet was created that demonstrated how existing XML based records could be converted into RDF data. The stylesheet was used to successfully convert a 4,150 record collection from the University of Notre Dame into RDF triples. The XSLT templates used in the stylesheet were able to not only convert the existing XML elements/attributes into RDF classes/properties but also convert the existing controlled vocabulary terms into functioning http URIs representing concepts. The study successfully demonstrated that existing data models can be enhanced to incorporate Linked Data and that existing datasets of implementation-specific XML records can be converted into RDF triples with properties defined by popular RDF vocabularies using an XSLT stylesheet
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Ohio State University Dec 2010

The Weimar Era was a tumultuous time in German history. The fledgling Republic faced political opposition both from the left and the right but more importantly it faced fundamental opposition from the traditionalists that viewed the Republic as a foreign institution that would enable progressives to change the fabric of German culture. The Kulturkampf that Otto von Bismarck waged against Catholics and socialists in the closing decades of the 19th century was reignited, but this time the target…
The Weimar Era was a tumultuous time in German history. The fledgling Republic faced political opposition both from the left and the right but more importantly it faced fundamental opposition from the traditionalists that viewed the Republic as a foreign institution that would enable progressives to change the fabric of German culture. The Kulturkampf that Otto von Bismarck waged against Catholics and socialists in the closing decades of the 19th century was reignited, but this time the target was not "un-German" religious and political groups but rather the section of society that had come to embody and represent traditional German values. During the Weimar Era, Berlin underwent a unparalleled culture change; playing host to international progressives as well as allowing the creation of institutions that openly mocked conservative German values. This was contrasted by smaller villages and towns, in which the people still strongly clung to traditional German values. This dichotomy led to a bitter resentment between the two groups, which manifested itself in the form of extreme political violence. Extremist groups on the right absorbed the concerns of those stuck in middle and turned them against the Republic in the form of stiff political opposition and assassinations. The Republic was demonized as a foreign institution that was threatening to destroy the essence of German Kultur. Beneath this weight, the fledgling Republic was unable to instill the principles of democracy and as a result it was forced to concede power to those who sought its destruction.
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Projects

Dec 2014 - Present

One is a $500,000, three-year grant for a project known as “Measuring Up: Assessing Use of Digital Repositories and the Resulting Impact.” With the funds, MSU – in partnership with OCLC Research, the Association of Research Libraries and the University of New Mexico – will investigate the difficulties libraries face in producing accurate reports of the use of their digital repositories through Web analytics.
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2010 - Oct 2014

This activity is part of the IMLS-funded project "Getting Found: Search Engine Optimization for Digital Repositories" which aims to develop strategies for improving the visibility of library digital repositories in Internet search engines.
Libraries are making heavy investments in digital repositories to preserve the scholarly record of their host institutions and demonstrate their relevance in the age of electronic publishing. Unfortunately, institutional repositories are not easily…
This activity is part of the IMLS-funded project "Getting Found: Search Engine Optimization for Digital Repositories" which aims to develop strategies for improving the visibility of library digital repositories in Internet search engines.
Libraries are making heavy investments in digital repositories to preserve the scholarly record of their host institutions and demonstrate their relevance in the age of electronic publishing. Unfortunately, institutional repositories are not easily discoverable on the Internet and cannot be found unless the user conducts a known-item search using the name of the repository. Once found, it is difficult to browse the contents.
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Honors & Awards

Kent State University

Apr 2014
Jeff recently won the Beta Phi Mu Student Achievement Award from Kent State University School of Library and Information Science in recognition of his cutting-edge master’s thesis research in library authorities and linked data. The results of this work have been recognized in major conference and publication venues in the LIS field and are being applied to several projects at OCLC

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looking forward to an engaging conversation. Hope to see folks there.

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Thrilled to be part of this upcoming session on Linked Data for Libraries—an exciting and evolving area with big potential for the future of…

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First Marathon In The Books !!!!! And Many More To Come !!!!!

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I am honored to have been selected as the Kent State 2024 iSchool M.S. Alumni of the Year - https://lnkd.in/gkeuaF\_k Marcia Zeng thank you for all…

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