中国数据新闻大赛由品牌创始人西安交通大学新闻与新媒体学院陈积银教授于2015年在兰州发起，旨在以赛促建、推动全国高校新闻专业教学改革，通过比赛打通学界与业界壁垒，为全国培养新媒体人才助力。

   中国数据新闻大赛自2015年举办以来已逐渐形成一项具有规模的全国性赛事。2015年6月27日首届中国数据新闻大赛暨数据新闻教育发展高峰研讨在西北师范大学成功举办。次年5月7日，第二届中国数据新闻大赛暨“一带一路”传媒高峰论坛在北京师范大学落下帷幕。2018年6月30号第三届中国数据新闻大赛暨数据新闻教育高峰论坛在西安交通大学举办，大赛历时3个月吸引全国约360支队伍，近1500人参赛报名，作品在网络展示的访问量为1198941次，网络投票人次为89738次。第三届大赛共有业界学界300多个团队、1500多人报名参赛，并收到来自全球各地共计360余件作品。2019年6月，第四届中国数据新闻大赛暨大数据可视化人才培养高峰论坛于湖北武汉举办，参赛队伍共726支，网络点击量近159万人次。2020年6月，第五届中国数据新闻大赛决赛暨大数据时代的新闻教育研讨会在陕西西安举行，参赛队伍八百余支，网站投票热度超300万。2021年11月，第六届中国数据新闻大赛暨数据驱动下的新闻传播学创新论坛在线上举办，参赛队伍九百余支，网站投票热度超400万。

第六届中国数据新闻大赛暨数据驱动下的新闻传播学创新论坛在线上举办，作为国内新闻传播学界和业界广泛认可的赛事品牌，本届大赛吸引了来自北京大学、清华大学、中国人民大学、复旦大学、南加利福尼亚大学、莫斯科大学、莫那什大学、伦敦国王学院等220余所国内外高校，以及中国国际电视台（CGTN）、新华网等数十家媒体机构的九百余支队伍参赛，报名人数高达4500余人，参赛人数远和规模远超上届创造新高。

中央民族大学新闻与传播学院特聘院长张昆教授在第六届中国数据新闻大赛开幕式致欢迎辞时说，中国数据新闻大赛本身是新闻传播教育转型的风向标，积极响应了国家媒体融合战略和新文科人才培养理念，为国内新闻教育共同体提供了卓越新闻人才转型的指南。学界业界的热情参与更体现了大赛顺乎天应乎人，利及学林，功在国家。

第六届中国数据新闻大赛评委、上海大学资深教授吴信训评价，比赛中涌现的优秀作品在数据驱动、可视化设计和选题深度挖掘方面均展现出专业水平，可为当下的数据新闻教育提供了可借鉴的案例资源。清华大学新闻学院沈阳教授表示，大赛促进了新闻传播新形态的发展，师生间教学相长。

中国数据新闻大赛自创办之初，先后邀请了哥伦比亚大学、纽约大学、密苏里大学、清华大学、北京大学、北京师范大学、中国人民大学、中国传媒大学、西安交通大学、上海大学等国内外著名的50多所新闻专业类高校，中央电视台、人民日报、光明日报、新华网、南方网等30余家新闻机构参赛参会。活动得到了中央电视台、光明日报、地方媒体平台等近百家媒体的报道，收到亚洲、欧洲、北美洲等海内外投票，品牌知名度、美誉度以及影响力持续上升。无论是在报名人数，还是在参赛作品数量以及网站访问投票量上，都开创了历史新局面。

中国数据新闻大赛坚持以高水准办会的原则，邀请国内外知名的新闻院校专家学者参会，并组织动员各大高校新闻学院本、硕、博学生，以及业界数据新闻精英参与大赛，鼓励新媒体领域的业界与学界顶尖专家学者参与。大赛不限定主题，作品内容可涉及政治、经济、环境、教育、时政、娱乐、文化、扶贫等专题。

通过这项赛事，望激发青年一代追踪、掌握传播前沿信息，获得更多的知识，适应将来的数据时代，推动国内外数据新闻的交流发展，加强传媒领域的研究与实践。中国数据新闻大赛诚邀八方之士，一起用数据说新闻，碰撞出思想的火花，为当下的传媒产业发展贡献一份微薄之力。

大赛纪念册

（扫描下方二维码即可查看）

The China Data Journalism Competition

• Competition Description

With the big data and artificial intelligencetechnology development, data journalism also gradually developed. It makesjournalism more professional and provides opportunities for the transformationof journalism talents.

The China Data Journalism Competition was foundedby Professor Chen Jiyin of the School of Journalism and New Media, Xi’anJiaotong University. It has been successfully held in four sessions so far. The competition has played a huge role in promoting the development of datajournalism. It focused on cultivating a group of practicing professionals whocan adapt to the development of the new media era. It alsogreatly promoted the reform of journalism education in Chinese universities andpromoted the industry's journalism format. At the sametime, the competition promotes the innovative transformation of the industry'snews format in the era of media integration.

Since itsinception, the 4th China Data Journalism Competition has attracted 94universities from Peking University, Renmin University of China, FudanUniversity, Hong Kong Baptist University and so on. It has also attracted 8industries from the Beijing News, DT Finance, Zhejiang Daily, Sichuan Daily andso on. There is a total of 726 teams in the unit, and nearly 3,500 people havesigned up for the competition. A total of 616 works has been received, and thenumber of Internet hits has reached 1.59 million, which creating a newhistorical situation.

The China Data Journalism Competitionwas officially launched on June 16, 2020, and the final round was held in Xi'an(Western China Science and Technology Innovation Harbour) in September.

The competition is judged by domestic and foreignfirst-class journalism department experts and domestic first-class mediaprofessionals, and provides a series of incentive measures such as bonuses andcertificates for the winners. Media practitioners,relevant professional teachers, college students and those interested in datajournalism can sign up. We also encourage variousforms of cooperation.

This competition does not limit the theme, we welcomehigh-quality data journalism works to participate. You canpresent the topic of your work through in-depth data analysis, paneldiscussions or other forms of research. The contentof the work may involve topics such as politics, economy, environment, education,current affairs, entertainment, culture, poverty alleviation and so on.

• ScoreRules

   Topicselection (importance, difficulty level)

Data quality (reliability,relevance, degree of processing)

Data analysis (datasupport, negative proof, multiple data)

Data presentation (visualization,text, design matching)

Design (designeffects, creative elements, interactivity)

Technology (webpagecreation, use of visualization tools)

•TimeSchedule

June 17, 2020       Competition launched

August 30, 2020     Deadline for submission

September 25, 2020   Final RoundDate

•Rules

Individuals or teams (no more than five people)

Works must be original

Electronic version (a web link is better)

Electronic cover and abstract must be submitted

(Electroniccover requirements：The ratio is4:3, no more than 200K)

Must submit a work description form (Included inthe official website attachment)

Only need to submit the registration form to themailbox when registering

When submitting the work, you should submit the work,the instructor information form, the work description form, and the electroniccover together. (You can compress theminto compressed packages and submit it to cdjc_xj@163. com)

Compressed package naming format: school/unitname-XXX (team leader) team-work name

•Contactinformation

Email: cdjc_xj@163.com

Competition URL: http://www.cdjcow.com/