The Rwanda Data Journalism Awards (RDJA) is NISR's initiative recognizing outstanding works in the field of data journalism in Rwanda. RDJA is normally organized yearly and winners are announced during the celebration of the African Statistics Day. The awards are given to exemplary data-driven stories and programs that use data to have a good impact on the society.

The mission of this award is to promote excellence and creativity in the reporting of statistics-based stories to the Rwandan public in this data revolution era when journalistic reportage requires practices that include statistical analyses, interpretations and visualization   to tell complex and sensitive stories in simple and convincing way.

NISR is organising the second edition of RDJA in collaboration with Media High Council, The Partnership in Statistics for Development in the 21st Century (PARIS 21) and UNICEF Rwanda. Data journalism on any subject involving official statistics based findings and analyses are eligible for the award.  Winners will be announced and awarded on 16 November 2018, while cerebrating the African Statistics Day, 2018.


Category 1: Excellence in Online Data Journalism

Description: Best interactive or static visualization in a story which accomplish a journalistic purpose and use data significantly in an online media

  • Maximum of 4 entries
  • Open to individual journalists (online)
  • Prize: Laptop

Category 2: Excellence in Print Data Journalism

Description: Best data-driven journalism with informative static visualization on print newspapers.

  • Maximum of 4 entries
  • Open to individual journalists (print)
  • Prize: laptop

Category 3: Excellence in Radio Data Journalism

Description: Best data-driven journalism in radio news stories or programs.

  • Open to individual journalists (Radio)
  • Maximum of 4 entries
  • Prize: laptop

Category 4: Excellence in TV Data Journalism

Description: Best data-driven journalism on TV news stories or programs.

  • Maximum of 4 entries
  • Open to individual journalists (TV).
  • Prize: laptop


  • The competition is open to any accredited individual journalist in Rwanda.
  • Applicants must be Rwandan citizens or permanent residents.
  • Individual journalists and freelancers on accredited media houses are eligible for the Data Journalism Awards. Works produced by individuals or teams of journalists from media companies and non-profit organizations, as well as freelancers or individuals are all eligible for entry.
  • Works produced by staffers or freelancers collaborating with government agencies, business or trade organizations with a stake (financial or of other nature) in the issue at hand are not eligible. In other words, the awards are not given to business data visualizations or projects produced for branding purposes.
  • Entries can have been published, broadcasted or aired in English, Kinyarwanda or in French, and must have appeared between 1st July2018 and   31st October 2018.
  • The RDJA administrators have the final authority to determine whether an entry is eligible or not.


  • Entries are allowed to have been published or aired on  any media platform(Online, print, radio and TV)
  • A maximum of  4 entries per category
  • During the pre-selection, the jury will choose which category is most adequate for your submission, although you may mention your preferred category in a story description statement in the application form.

All entries must be accompanied by submission form that include:

i)    Description of the entry, less than 100 words
ii)    Biography of the writer(s), less than 100 words
iii)    Confirmation of the date published.


  • Print:  link to the online article or newspaper or copies of the article or newspapers
  • Radio or podcast:  link to mp3 file either through an active URL or an archived link,    or copies on DVD
  • Television/YouTube/other video:  link to an active URL   or copies of DVD  
  • All submission forms must be filled in English. Entries in languages other than English will be accepted provided that they are accompanied by thorough explanations of the work in English in submission form. If a work originally published in a language other than English passes the pre-jury selection stage, applicants may be asked to provide additional information and translations if possible.


The following two points describe story qualities that will be based on during the evaluation in all categories:

  • Ease of understanding what the data is saying by enabling greater public understanding of a particular topic through accurate data representation, visual elegance, creativity, originality, and uniqueness of informative infographic, or other visualization   techniques used to present data in a journalistic story or program.
  • The content should be people-centred by linking data to human lives and welfare, and have a good balance of subjectivity and objectivity.  
  • Impact of the entry on improving the understanding of the population of the data and on its general contribution to increase statistical literacy amongst Rwandans through accessible analysis, explanation, and statistical conceptualization used in a story or program.
  • Quality of content, and variety of subjects covered.
  • All the data quoted should clearly indicate year and source of the data adequately.


  • The competition's submissions will close on 15th November 2018 at 05:00 P.M LOCAL TIME. All work must have been published or aired between 1st July 2018 and 31st October 2018.
  • Submission entries through Links or URLS should be made through online submission   form accessible from NISR website,   by October 31st, 2018, at 05:00 P.M LOCAL TIME.
  • For print copies or DVDs along with filled submission forms can also be received at Innovations Team Office of NISR by October 31st, 2018, at 05:00 P.M LOCAL TIME.
  • There is no submission fee.

WINNERS for awards will be announced during the second week November 2018, and the winning projects will be revealed at the ASD 2018 Ceremony on 16th November 2018.

Questions can be emailed to with a copy to or call +250788616735.

Click here to submit your entry