Data science training for official statistics: A new scientific paradigm of information and knowledge development in national statistical systems.
Afshin Ashofteh, Jorge Miguel Ventura Bravo
vol. 37, 2021, p. 771-789.

EMOS reloaded: Unlock the future of education in official statistics with a new partnership with Universities
Monica Pratesi , Pedro Campos
vol. 37, 2021, p. 825-833.

A Study on the Quality of Novel Coronavirus (COVID-19) Official Datasets
Afshin Ashofteh, Jorge Miguel Ventura Bravo
vol. 36, 2020, p. 291-301.

Towards a Shared Infrastructure for Online Job Advertisement Data
Pascaline Descy, Vladimir Kvetan, Albrecht Wirthmann, Fernando Reis
vol. 35, 2019, p. 669-675.

Trusted Smart Statistics: Motivations and Principles
Fabio Ricciato, Albrecht Wirthmann, Konstantinos Giannakouris, Fernando Reis, Michail Skaliotis
vol. 35, 2019, p. 589-603.

Defining Labour Market Areas and its relevance from a statistical perspective: The Portuguese case^1;2.
Elsa Soares, Rossano Figueiredo, Francisco Vala
vol. 33, 2017, p. 615-625.

How to integrate statistical and geospatial data using administrative data on construction works: The case of Indicators System of Urban Operations (SIOU).
Cristina Neves, Fátima Moreira
vol. 33, 2017, p. 627-635.

When is administrative data good enough to replace statistical information? A quality indicator based on census comparison.
Sandra Lagarto, Anabela Delgado, Paula Paulino, João Capelo
vol. 33, 2017, p. 749-753.

A Toolbox for a Modular Design and Pooled Analysis of Sample Survey Programmes
Martin Karlberg, Fernando Reis, Cristina Calizzani, Fabrice Gras
vol. 31, 2015, p. 447-462.

Measuring Output Quality for Multisource Statistics in Official Statistics: Some Directions
Mihaela Agafitei, Fabrice Gras, Wim Kloek, Fernando Reis, Sorina Vaju
vol. 31, 2015, p. 203-211.