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Preserving Data Journalism: A Systematic Literature Review
Journalism Practice ( IF 2.328 ) Pub Date : 2021-03-31 , DOI: 10.1080/17512786.2021.1903972
Bahareh Heravi 1 , Kathryn Cassidy 2 , Edie Davis 3 , Natalie Harrower 4
Affiliation  

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.



中文翻译:

保护数据新闻:系统的文献综述

摘要

新闻机构在归档和保存其内容方面有着长期的做法。数据新闻的新兴实践导致了复杂的新输出的产生,包括依赖于分布式数字基础设施的动态数据可视化。传统的新闻存档还没有适当的系统来保存这些输出,这意味着我们有可能失去报道和新闻历史的这一重要部分。按照系统方法研究该领域的文献,本文提供了一系列建议来解决文献中的空白。本文通过以下方式对该领域做出贡献:(1) 对该领域的文献进行系统研究,(2) 为采用动态数据可视化的长期保存作为新闻出版工作流程的一部分提供一系列建议,

更新日期:2021-03-31
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