Rajiv Ranjan

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The four quadrants show four types of data portal users based on their data needs.

The four types of data portal users

December 15, 2022

While developing an effective data portal1, its potential users’ data needs must be the primary focus of its design. The traditional segmentation of users based on “who they are”, such as journalists, policymakers, or even portal maintainers (including those who … Continue reading →

Posted in Data, Design, Digitalisation

Take up data to avoid flying blind: lessons for Policy makers

November 8, 2022

Defining the use of data in policy making is contentious, and attempts to measure it are sparse. However, enough evidence suggests that more work is required to reinforce data use in policy making. For example, a 2018 evaluation of the … Continue reading →

Posted in Data, Data use

The shape of data in digital systems: Modelling aggregated data for data portals

October 24, 2022

In many national statistical offices (NSOs), there is a strong desire to improve the dissemination of indicators or aggregated data using digital systems. This aspiration marks a paradigm shift for many NSOs, for whom, until now, print publications have been … Continue reading →

Posted in Data, Data modelling, Digitalisation, SDMX

What does the advent of the digital age mean for national statistical offices?

January 29, 2022

National statistical offices (NSOs), such as GSS in Ghana and NISR in Rwanda, are authoritative sources for countries’ socio-economic data. NSOs either produce data or coordinate their production for government planning and budgeting. In the digital age, though, many are at a crossroads in … Continue reading →

Posted in Data, Digitalisation, Statistics

Disseminating aggregate data and associated metadata using SDMX

August 28, 2015

Despite good intentions, there are times when data sharing appears to be an added task in many organisations. The issue gets complicated when the data in question is statistical in nature. Statistical data is inherently complex. It is highly structured … Continue reading →

Posted in Data, SDMX, Statistics

The Innovations Team at the National Institute of Statistics of Rwanda (NISR)

June 29, 2015

The Innovations Team (Lab) formally came into existence at the National Institute of Statistics of Rwanda (NISR) in May 2014. Since then, the following poster, enunciating the ambitious nature of the enterprise – ‘Future of statistics, Force of technology & … Continue reading →

Posted in Design, Innovation, Open Data, Statistics

What will it take to improve statistical data dissemination in the digital realm?

August 19, 2014

[Summary: In this blog post, I argue that the three fundamental ways to improve data dissemination using digital platforms in National Statistics Offices (NSOs) could be; instilling comprehensive data curation processes, automated data transfers from aggregated tables to the online … Continue reading →

Posted in Data, Interoperability, Open Data, Statistics
NADA at NISR

Lowest Common Denominator in Data Curation

July 18, 2014

A few months back, while participating in a World Bank study of national statistics offices (NSOs) in the context of government-sponsored open data initiatives and later, on a research project to provide guidance to NSOs on data dissemination platforms in … Continue reading →

Posted in Data, Statistics

SMS based real-time monitoring of census data collection using mobile phones

November 18, 2013

Rwanda conducted it’s latest and the 4th Population and Housing Census (PHC) in August 2012. In this massive exercise, around 16,700 enumerators, each assigned to one of the Enumeration Areas (EAs), visited every household in the country. The fieldwork, consisting … Continue reading →

Posted in Communication, Gov 2.0, ICT, Uncategorized

Designing a responsive National Strategy for the Development of Statistics (NSDS)

June 25, 2013

As we deliberate post-2015 agenda chalking out global development directions after the Millennium Development Goals (MDGs), there’s a renewed interest in the availability, quality and accessibility of data and statistics for guiding policy, monitoring progress, measuring results, and supporting analysis. … Continue reading →

Posted in Communication, Gov 2.0, Open Data

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Recent Posts

  • The four types of data portal users
  • Take up data to avoid flying blind: lessons for Policy makers
  • The shape of data in digital systems: Modelling aggregated data for data portals
  • What does the advent of the digital age mean for national statistical offices?
  • Disseminating aggregate data and associated metadata using SDMX

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