Developing Library and Data Storytelling Toolkits: Scenarios and Personas

Research output: Chapter in Book/Report/Conference proceedingConference contribution


With the increasing datafication of all aspects of civic life and public resources, libraries will need better data tools in the future to communicate their impact. Based on the development of the interactive Data Storytelling Toolkit for Librarians (DSTL), this paper analyzes the results of a survey of librarians to understand their needs as users of an in-development data storytelling toolkit. This study explores two research questions: (1) What have developers needed to know so far for building this data storytelling toolkit for librarians? (2) What should developers of all kinds of library data apps know based on this survey? Thirty-nine respondents provided insights from a range of different kinds of libraries. Results include user scenarios and user personas that will aid in the development the DSTL and improve future development of related data-focused applications for librarians as users.

Original languageEnglish (US)
Title of host publicationWisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Proceedings
EditorsIsaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland
Number of pages11
ISBN (Print)9783031578496
StatePublished - 2024
Event19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024 - Changchun, China
Duration: Apr 15 2024Apr 26 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14596 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024


  • Data Storytelling
  • Design
  • Libraries
  • Toolkit

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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