PUBLIC DATA IN NIGER: FROM AVAILABILITY TO USABILITY

Challenges and Opportunities for Data Sharing and Reuse

Executive Summary

Niger has made significant progress in the production, dissemination, and archiving of public data. The National Institute of Statistics (INS) plays a central role in this ecosystem, notably through the National Data Archives of Niger (ANADO), which allow users to access surveys, censuses, and administrative data, as well as the associated documentation and metadata.

These advances are part of a broader dynamic of improving the country’s statistical performance. According to the World Bank, Niger ranked 55th globally and 4th in Africa in 2024 according to the Open Data Inventory (ODIN), which assesses, among other things, the coverage and openness of official statistics.

However, the availability of data does not necessarily guarantee its usability. For public data to generate real social value, it must be possible to identify, understand, document, obtain under clear conditions, verify, and reuse it by different actors.

This issue is particularly important for data journalists, researchers, civil society organizations, and citizens who wish to use public data to understand the country’s social and economic realities. Users may need to search for information from several institutions and platforms, verify the methodology used, compare different sources, and determine the conditions under which the data can be reused.

This policy brief therefore examines the main challenges related to the sharing and reuse of public data in Niger. It proposes an approach centered on the entire data value chain, from production to reuse, and puts forward five recommendations aimed at improving the discoverability, documentation, reusability, interoperability, and responsible sharing of data.

1. Context: A Developing Public Data Ecosystem

Niger currently has several mechanisms for producing, preserving, and disseminating public data.

The National Institute of Statistics is a central actor in this ecosystem. Through the National Data Archives of Niger, the INS provides users with data from various statistical surveys, censuses, and administrative sources. The catalogue also provides access to the websites of statistical operations, as well as documents containing methodological information and associated metadata.

The INS also has procedures governing access to and use of data. Some data can be widely consulted, while access to microdata is subject to conditions aimed in particular at preserving confidentiality and preventing the re-identification of individuals.

The ecosystem, however, extends beyond the INS alone. The NigerData directory currently lists 17 data platforms, covering 11 thematic areas and involving 16 organizations. These platforms cover areas including demographics, agriculture, education, health, the economy, the environment, and information and communication technologies.

This diversity is an asset for the country. It shows that data are produced and disseminated by different actors and across several sectors.

But it also raises an important question: how can users easily find the relevant data, understand their methodology, and reuse them when they come from multiple sources?

The challenge is therefore not only to produce more data. It is also to strengthen the conditions that allow these data to circulate, be understood, and create value.

2. From Availability to Usability

A fundamental distinction must be made between several stages.

Data can be:

Available, because they exist and have been published.

Accessible, because a user can actually find and obtain them.

Understandable, when their methodology, definitions, variables, and limitations are sufficiently documented.

Reusable, when they are provided in a format and under conditions that allow them to be used.

Value-creating, when they can be transformed into research, journalistic information, innovation, public decision-making, or services intended for citizens.

This progression can be represented by a value chain:

Production → Documentation → Publication → Access → Understanding and Verification → Reuse → Public Value Creation

A weakness at any of these stages can reduce the final value of the data.

Thus, the existence of a file does not automatically mean that a journalist can use it quickly. The journalist must still identify its source, understand what it measures, know the period and data collection methodology, verify its quality, and, when necessary, compare it with other data.

The central question therefore becomes:

How can Niger strengthen the public data value chain so that data produced by institutions are not only available, but also accessible, documented, understandable, reusable, and useful for public debate?

3. Main Challenges

3.1. Finding the Right Data in a Fragmented Ecosystem

The growing number of platforms and data producers represents important progress, but it can also make research more complex for users.

A single question of public interest may require consultation of several institutions. Users must then identify the relevant sources, determine which institution produces the data they are looking for, and verify whether different sources use the same definitions and periods.

The problem is therefore not necessarily the absence of data, but the ability to quickly identify where they are located and which source should be considered the reference.

Challenge

Niger would benefit from strengthening mechanisms that make it possible to locate public data through an easily identifiable entry point, while maintaining the specialized platforms of data-producing institutions.

3.2. Understanding Data Correctly

Finding data does not necessarily mean being able to interpret them correctly.

A statistic only has meaning if the user understands its context: collection period, population studied, sampling method, geographical coverage, definition of indicators, variables used, and possible limitations.

In this regard, ANADO represents an interesting practice because it associates methodological information and metadata with statistical operations.

The national survey on household and individual access to Information and Communication Technologies in Niger in 2025 provides an illustration. The survey covered 4,000 households actually surveyed out of 4,020 expected households, representing a coverage rate of 99.5%. The available information describes, in particular, the sampling and weighting process.

Documentation therefore allows users to understand not only the result, but also how it was obtained.

Challenge

Documentation and metadata should be considered an essential component of data sharing rather than a secondary element.

3.3. Facilitating Reuse and Interoperability

Publishing information does not automatically mean that it is easily reusable.

To use data, users must be able to access the file, understand its structure, identify its variables, know the processing carried out, and, when necessary, compare the data with other sources.

Some ANADO resources already demonstrate the value of this approach. Some databases are accompanied by variable dictionaries and metadata that make it possible to examine the structure of the files.

The next challenge is to promote more harmonized practices across different public sources: structured formats, data dictionaries, common metadata, and standards that facilitate exchange between systems.

Challenge

Better interoperability would reduce the time spent preparing data and facilitate their analysis, comparison, and reuse by researchers, journalists, developers, and civil society organizations.

3.4. Balancing Openness and Protection

Data sharing does not mean that all data should be openly available without restrictions.

Some data can be widely disseminated, while microdata require additional safeguards to protect the individuals concerned.

The INS conditions for access to microdata provide, in particular, that the data be used for statistical or scientific research purposes, that users do not attempt to re-identify respondents, and that results be presented in aggregated form.

This approach highlights an essential reality: Data Sharing and Digital Rights must be considered together.

An effective data-sharing policy must seek a balance between:

openness;

reuse;

personal data protection;

confidentiality;

data integrity;

the trust of citizens and producers.

Challenge

Niger must continue to develop a responsible openness approach that clearly distinguishes between data that can be widely opened, data requiring controlled access, and data that must remain protected.

4. The Data Journalism Perspective: A Field Experience

 

Data journalism provides a concrete way of observing the different stages of the data value chain.

To produce data-driven information, it is not enough to have a figure. It is necessary to identify its source, understand what it measures, verify its reliability, compare it with other information when necessary, and place it in context.

As part of a project on gender-based violence in schools in Niger, several sources were mobilized to document the phenomenon. The journalistic work required searching for, collecting, and comparing information from different institutional sources and specialized organizations before an analysis could be developed and made accessible to the public.

This experience illustrates an important characteristic of working with public data: a public-interest question may require bringing together data produced by several actors before a coherent analysis can be produced.

The work does not stop at collection. Data must then be verified, placed in context, and interpreted carefully. Differences in period, definition, geographical coverage, or methodology may affect their comparability.

Once this stage has been completed, the data can be transformed into visualizations and content accessible to the public.

The journalist therefore becomes an intermediary between data produced by institutions and citizens who wish to understand a social reality.

This experience shows that the public value of data depends heavily on the ability to move through the entire data value chain:

production → documentation → access → verification → analysis → visualization → reuse.

Data sharing should therefore not be considered the final stage of statistical production, but the beginning of a process that allows other actors to create value from these data.

5. Five Recommendations to Strengthen the Public Data Value Chain

Recommendation 1 — Establish a National Entry Point for Public Data

Niger already has several platforms. The objective would therefore not be to replace them, but to better connect them.

A regularly updated national directory could allow users to search for data by:

thematic area;

producing institution;

period;

type of data;

format;

access level;

reuse conditions.

Each result could then direct users to the platform or institution that actually holds the data.

Expected result: reduce the time needed to identify the relevant source and improve the visibility of existing public data.

Recommendation 2 — Adopt a Common Metadata Framework

 

Niger could define a common minimum metadata framework for major public datasets.

This framework could include:

producer → period → geographical coverage → methodology → definition of indicators → variables → update frequency → limitations → access conditions → reuse conditions.

Such harmonization would allow users to understand data more quickly, even when they are not familiar with the institution that produced them.

Expected result: improve the understanding, comparability, and reuse of data.

Recommendation 3 — Promote Truly Reusable Formats

Whenever possible, public data should be accompanied by structured and usable files, as well as data dictionaries and metadata.

Publishing a PDF report remains useful for consultation, but it is not always sufficient to enable effective analysis or reuse.

The practices already developed in some ANADO resources could serve as a basis for the gradual generalization of standards that promote reuse.

Expected result: facilitate the analysis, visualization, comparison, and reuse of data.

Recommendation 4 — Establish Clear Access Levels

 

A responsible sharing policy could distinguish three levels:

Open Data

Free access and authorized reuse in compliance with applicable conditions.

Controlled-Access Data

Access subject to certain conditions, particularly for microdata.

Protected Data

 

Restricted access for reasons of confidentiality, protection of individuals, or other legal requirements.

Each dataset should, whenever possible, clearly indicate its access level and the applicable rules.

Expected result : create a balance between openness, protection of individuals, and the trust of producers and users.

Recommendation 5 — Make Users Partners in the Ecosystem

 

Data governance should not be considered solely among producing institutions.

Data journalists, researchers, universities, civil society organizations, developers, and other users can help identify access difficulties and reuse needs.

Regular consultations between producers and users could, in particular, help identify :

- the most requested data;

- access difficulties;

- documentation problems;

- the most useful formats;

- needs for new data;

- interpretation difficulties.

Expected result : enable data-sharing practices to evolve according to actual uses.

6. Towards a Simple Approach: FIND – UNDERSTAND – REUSE – PROTECT

The recommendations can be summarized around four verbs.

FIND

Improve the visibility and discoverability of public data.

UNDERSTAND

Strengthen metadata, documentation, and methodological transparency.

REUSE

Facilitate usable formats, interoperability, and reuse.

PROTECT

Ensure confidentiality, personal data protection, and information integrity.

This approach makes it possible to move beyond a limited conception of data sharing. Data does not create its full value simply when it is published. Its value increases when it can be found, understood, verified, reused, and transformed into useful knowledge or action.

7. Conclusion

Niger is not starting from zero in terms of the production and sharing of public data. The country has data-producing institutions, specialized platforms, a data archiving system, metadata, access procedures, and mechanisms for protecting microdata.

Progress made in statistical performance also shows that important foundations already exist to continue this transformation.

The next challenge is therefore less about the mere availability of data than about their usability.

For journalists, researchers, civil society organizations, developers, and citizens, the value of public data depends on how easily they can be found, understood, verified, and reused.

Strengthening the public data value chain in Niger therefore requires better connecting platforms, harmonizing documentation, promoting reusable formats, clarifying access levels, and involving users more closely in the development of the ecosystem.

The objective should not be total and undifferentiated openness of data, but useful, responsible openness adapted to different levels of sensitivity.

The real challenge of data governance in Niger is therefore to move :

from available data to usable data;

from usable data to reusable data;

and from reusable data to the creation of public value.

This transition can contribute to strengthening the quality of public debate, supporting research and innovation, improving evidence-based decision-making, and enabling citizens to better understand the realities that affect them.

Main References

National Institute of Statistics of Niger (INS), National Data Archives of Niger (ANADO).

National Institute of Statistics of Niger (INS), Conditions for access to and use of data.

National Institute of Statistics of Niger (INS), Survey on household and individual access to Information and Communication Technologies in Niger in 2025.

NigerData, Directory of open data platforms in Niger.

World Bank, Improving access to quality data in fragile and conflict settings: the case of the Central Sahel countries.

National Institute of Statistics of Niger (INS), methodological resources and data dictionaries available on ANADO.