The US-China Education Trust (USCET) and Fudan University’s School of Journalism kicked off the Third Data Journalism Workshop in Shanghai earlier this week.
Jonathan Soma, Director of Lede Data Journalism Program at Columbia University and Yu Yan are leading the workshop in China. Participants will learn the fundamentals of data journalism and will gain skills in how best to use data in their journalism work.
Many of the individuals participating in the training work at organizations like China Central Television (CCTV) and the China Daily, and a few have come from as far as Singapore.
The trainers opened the workshop by explaining and introducing the basics of data journalism. Soma went on to explain that the same principles that apply to traditional journalism also apply to data journalism: one must ask questions to find a story, verify information with secondary sources, and understand the subject’s background and point of view. He emphasized that one must trust data the same way one trusts a person – not 100%.
Participants will be continuing to learn the data journalism fundamentals throughout the week and they will also be putting that knowledge into practice as they work in groups to produce a data-based journalism piece on topics of their choosing.
The training wraps up on Thursday.
USCET与复旦大学新闻学院共同举办的第三次数据新闻工作坊于本周正式开始。
该工作坊由哥伦比亚大学里德数据新闻项目主管乔纳森·索玛（Jonathan Soma）和吕妍主持。参与学员将会学习数据新闻的基础以及如何有效地将数据融入到新闻工作中。
接受培训的学员多数来自如中央电视台和人民日报等组织，少数来自新加坡等地。
二位讲师先是向学员介绍并解释了何为数据新闻。接着由索玛讲解了传统新闻学与数据新闻学的共同点：要挖掘故事就都要学会问问题，都要用二手资料确认数据真实度，以及都要了解目标的背景和观点。索玛强调数据和人一样，不能给予百分百的信任。
本周内，学员将进一步学习关于数据新闻学的基础，同时还将组成小组创作一篇任意主题的基于数据的新闻来实践他们学到的技巧。
此次培训将在本周四收尾。