@inproceedings{4ea9fe717743461586e19ebf01428cfe,
title = "Developing Library and Data Storytelling Toolkits: Scenarios and Personas",
abstract = "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.",
keywords = "Data Storytelling, Design, Libraries, Toolkit",
author = "Kate McDowell and Xinhui Hu and Turk, {Matthew J}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024 ; Conference date: 15-04-2024 Through 26-04-2024",
year = "2024",
doi = "10.1007/978-3-031-57850-2_31",
language = "English (US)",
isbn = "9783031578496",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "410--420",
editor = "Isaac Sserwanga and Hideo Joho and Jie Ma and Preben Hansen and Dan Wu and Masanori Koizumi and Gilliland, {Anne J.}",
booktitle = "Wisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Proceedings",
address = "Germany",
}