About This Project


The Data Notebook is an online suite of open interactive resources that provides instructional materials for introductory data analytics and data visualization approaches relevant to a wide range of subjects and disciplines.  Specifically, this book focuses on principles related to data storytelling, and provides tangible research steps and include case studies, mini-lessons, and interactive instructional components.

Creation Process

This text is an amalgamation of original and open content adapted for a novice audience. The co-authors adapted materials and structured them around the FLOAT Method framework, that they co-developed. As the book approached completion, informal use of the content (as a PDF) continued in courses during spring 2021. The content was then further adapted, edited, and published at the end of the semester.The open text is published on the Pressbooks EDU platform, which allows for embedded multimedia and interactive elements, such as quizzes, enabled by H5P integration.

About the Authors

Kenton Rambsy, PhD (Co-Author & Editor)

Kenton Rambsy is an Assistant Professor of African American literature at the University of Texas at Arlington. His areas of research include 20th and 21st century African American short fiction, Hip Hop, and book history. Kenton is a 2018 recipient of the Woodrow Wilson Career Enhancement Fellowship and author of two digital books #TheJayZMixtape and Lost in the City: An Exploration of Edward P. Jones’s Short Fiction (2019). His on-going Digital Humanities projects use datasets to illuminate the significance of recurring trends and thematic shifts as it relates black writers and rappers.

ORCID: 0000-0002-6827-3457

Peace Ossom-Williamson, MLS, MS, AHIP (Co-Author)

Peace Ossom-Williamson is the Associate Director of the National Center for Data Services of the Network of the National Library of Medicine. She also teaches in the undergraduate public health program at The University of Texas at Arlington (UTA). She has experience with technical and public services and research and scholarly communication support including data management planning, finding open educational resources, choosing where to publish, and answering copyright questions. Peace is passionate about public health and data services, and she is an active researcher and educator, receiving the 2019 Medical Library Association (MLA) Presidential Award, the 2020 Texas Woman’s University Hallmark Award, and the 2020 Eliot Award by MLA for most impactful publication of the year.

ORCID: 0000-0001-6229-7514

Assistant Editors

Lindsey Dixon (Undergraduate, Assistant Editor, “Part 3: FLOAT Case Studies”)

Lindsey Dixon is a senior Political Science major and Mellon Mays fellow at Howard University. Her research interests include United States history, intersectionality, and digital humanities. Currently, her research focuses on collecting and digitizing documents from the post-Reconstruction Era to analyze patterns and data on how lynching has impacted Black women in America.

ORCID: 0000-0002-6867-4111

John Merritt (Undergraduate, Assistant Editor, “Part 4: Digital Tools Explained”)

John Merritt is a fourth year English major and Mellon Mays fellow at Howard University. His research interests include contemporary African American fiction, postmodernism, and the digital humanities. Currently, he is interested in using Twitter data to develop reader-response based analyses of Black blockbuster movies. His senior thesis examines the function of the sewer as a setting throughout African American fiction.

Nathan Alexander Moore (Graduate Content & Copy Editor)

Nathan Alexander Moore (she/they) is a Black genderfluid transfemme writer and scholar interested in critical and creative methods to explore the nuances of Blackness, queerness, and temporality – usually through the lens of Black speculative arts. Currently, she is a PhD candidate at the University of Texas at Austin in the department of African and African Diaspora Studies.




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The Data Notebook by Peace Ossom-Williamson and Kenton Rambsy is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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