research overview
- Nickoal Eichmann-Kalwara's research centers on issues related to representation in Digital Humanities, archival justice and historical recovery, and humanities data curation.
- Contact Info
Eichmann-Kalwara, Nickoal
Positions
- Associate Professor, University Libraries
Research Areas
Research
keywords
- Digital Humanities, Humanities Data, Text Mining, Digital Scholarship, Digital/Data Carework
Publications
selected publications
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chapter
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conference proceeding
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Challenges and Lessons Learned of Formalizing the Partnership Between Libraries and Research Computing Groups to Support Research The Center for Research Data and Digital Scholarship
2022
- Digital El Diario and Archival Justice in the Digital Humanities Graduate Classroom 2020
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Using Altmetrics to Transform Collection Development Decisions
2017
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Challenges and Lessons Learned of Formalizing the Partnership Between Libraries and Research Computing Groups to Support Research The Center for Research Data and Digital Scholarship
2022
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journal article
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The Index of Digital Humanities Conferences.
Journal of Open Humanities Data.
2021
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Mapping the Scholarly Literature Found in Scopus on “Research Data Management”: A Bibliometric and Data Visualization Approach.
Journal of Librarianship and Scholarly Communication.
2019
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What’s Under the Big Tent?: A Study of ADHO Conference Abstracts.
Digital Studies.
2017
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Assessing the Openness of Anthropology Journals.
Journal of Scholarly Publishing.
123-139.
2017
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Process and collaboration: Assessing digital humanities work through an embedded lens.
College and Undergraduate Libraries.
595-615.
2017
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The Index of Digital Humanities Conferences.
Journal of Open Humanities Data.
2021
Teaching
courses taught
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ARSC 5040 - Arts and Sciences Special Topics
Primary Instructor - Spring 2022
Same as ARSC 4040. May be repeated up to 3 total credit hours. -
DHUM 5000 - Introduction for Digital Humanities: Movements, Methods, and Tools
Primary Instructor - Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021 / Spring 2023 / Fall 2023
Introduces the creation and visualization of humanities data and explores a broad spectrum of disciplinary perspectives and methods in Digital Humanities. Participants will gain fluency in computational methods such as text mining, digital curation, data visualization, and spatial analysis, while critiquing and evaluating digital humanities research. Readings and discussions of theory will complement hands-on application of digital research methods and approaches. While the objects of study will primarily come from the humanities, the methods of analysis are widely applicable to the social and natural sciences.
Background
education and training
- M.L.S., Indiana University Bloomington 2014
- M.A., California State University-Fullerton 2012
- B.A., University of California-Riverside 2006