Preserving Data Journalism: A Systematic Literature Review Bahareh Heravi a , Kathryn Cassidy b , Edie Davis c and Natalie Harrower d a School of Information & Communication Studies, University College Dublin, Dublin, Ireland; b Digital Repository of Ireland, Trinity College Dublin, Dublin, Ireland; c The Library, Trinity College Dublin, Dublin, Ireland; d Digital Repository of Ireland, Royal Irish Academy, Dublin, Ireland ABSTRACT News organisations have longstanding practices for archiving and preserving their content. The emerging practice of data journalism has led to the creation of complex new outputs, including dynamic data visualisations that rely on distributed digital infrastructures. Traditional news archiving does not yet have systems in place for preserving these outputs, which means that we risk losing this crucial part of reporting and news history. Following a systematic approach to studying the literature in this area, this paper provides a set of recommendations to address lacunae in the literature. This paper contributes to the field by (1) providing a systematic study of the literature in the fields, (2) providing a set of recommendations for the adoption of long-term preservation of dynamic data visualisations as part of the news publication workflow, and (3) identifying concrete actions that data journalists can take immediately to ensure that these visualisations are not lost. KEYWORDS data journalism; data-driven journalism; data visualisation; data visualization; digital preservation; digital archiving; software preservation Introduction “Journalism is the first rough draft of history” (widely attributed to Philip Graham, 1963), and the archives of news organisations are an indispensable source for research into global history. Traditional journalistic outputs are usually published in text and audiovi- sual format, with news organisations having a longstanding history of archiving and pre- serving these outputs on various media, for example, paper, tape, or hard disc drives, depending on the historical time period and the original format of the output. Similarly, memory institutions such as national libraries and archives generally hold large and long- standing newspaper archives. In the past decade journalism has become more “quantitatively oriented” (Coddington 2015, 332), and increasingly incorporates “data journalism”– a practice which uses datasets, computational tools and algorithms to create news stories (Heravi and Lorenz 2020). The output of this type of journalism includes traditional text and audiovisual formats, but also includes data visualisations and/or news applications. These visualisations communi- cate key aspects of the story, and without them, the story is either incomplete or entirely © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. CONTACT Bahareh Heravi Bahareh.Heravi@ucd.ie Supplemental data for this article can be accessed at https://doi.org/10.1080/17512786.2021.1903972. JOURNALISM PRACTICE https://doi.org/10.1080/17512786.2021.1903972