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Digital Scholarship

Working Groups

The purpose of these working groups is to study and learn technologies in an ongoing collaborative environment. If you are interested in moving beyond familiarity with digital scholarship to mastery of a particular technique, these working groups are for you! Newcomers are always welcome. If you haven’t taken part until now, we’ll help you catch up. Questions? Contact the leaders of the various groups below or email Clifford Anderson, Associate University Librarian for Research and Learning:


Semantic Web Working Group

Mondays, 12:10-1:00pm,  800FA, Central Library

Using the architecture of the World Wide Web, (such as URI's and http,) the Semantic Web supports a common framework allowing data to be shared and reused across boundaries both technical and social. The Semantic Web is built on the RDF model which  allows for standardized data interchange on the web. RDF consists of  triples comprised of a subject, predicate and object and with the SPARQL query language we can then ask questions, manipulate and transform RDF encoded data.  For more information, please visit the working group website or contact

Tiny Data

Tiny Data Working Group

Wednesdays, 12:10-1:00pm, 800FA, Central Library

In this working group, we discuss how to collect, manipulate, analyze, and publish small- and medium-scaled datasets for use in humanistic research. By examining the data behind diverse digital humanities projects, discussing readings about quantitative and qualitative data, and experimenting with data visualization tools such as Neo4j and Tableau Public, we aim to build a collaborative and multi-disciplinary cohort of data-literate humanists across campus. For more information, please visit the working group website or contact


XQuery Working Group

Fridays, 3:00-4:30pm, 800FA, Central Library

XQuery is a programming language that works seamlessly with XML and other forms of data. XQuery is a great language to learn if you are working with semi-structured data of any sort—literary texts encoded in TEI, bibliographic data in JSON, or even tabular data you’re currently keeping in Excel. By learning XQuery, you’ll learn how to explore hidden patterns in your data and to visualize them for others. We’ll also teach you how to connect and combine different sources of data, creating mashups and other forms of emergent media. Finally, we’ll also show you how to develop a research database of documents using the open source BaseX database. The XQuery Working Group is informal and always open to newcomers. For more information, please visit the working group website or contact