Dieser Beitrag diskutiert das Konzept einer Community-Datentreuhand (CDT), das entwickelt wurde, um eine gemeinsame Erstellung und Nutzung sensitiver Daten in der Erforschung rechtsextremer Onlinekommunikation zu erleichtern. Die Besonderheit dieses Datentreuhandmodells ist, dass die Treuhand...

Damit ein Register wie das geplante bundesweite Bildungsverlaufsregister optimal genutzt werden kann, sind vorab die technischen Probleme zu klären, die bei der Zusammenführung der Daten einer Person aus verschiedenen Datenquellen, dem sogenannten Record-Linkage, auftreten können. Einige der...

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

Machine learning algorithms are typically evaluated using benchmark datasets under the assumption that these datasets are clean. However, recent studies have revealed the presence of label noise in many benchmark datasets, indicating a biased evaluation to date. Confident learning (CL), an...

Dieser Beitrag diskutiert das Konzept einer Community-Datentreuhand (CDT), das entwickelt wurde, um eine gemeinsame Erstellung und Nutzung sensitiver Daten in der Erforschung rechtsextremer Onlinekommunikation zu erleichtern. Die Besonderheit dieses Datentreuhandmodells ist, dass die Treuhand...

Accounting fraud poses significant financial and reputational risks for organizations. Traditional detection methods - such as manual audits and red-flag indicators - struggle to keep pace with the growing volume and complexity of financial data. In contrast, artificial intelligence...

Damit ein Register wie das geplante bundesweite Bildungsverlaufsregister optimal genutzt werden kann, sind vorab die technischen Probleme zu klären, die bei der Zusammenführung der Daten einer Person aus verschiedenen Datenquellen, dem sogenannten Record-Linkage, auftreten können. Einige der...

This report discusses the findings and recommendations of the 2024 assessment of the data quality of the public sector debt statistics (PSDS) of the Republic of Zambia against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The assessment was undertaken as part of a project to...

This report discusses the findings and recommendations of the 2024 assessment of the data quality of the public sector debt statistics (PSDS) of the United Republic of Tanzania against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The assessment was undertaken as part of a project...

This report discusses the findings and recommendations of a diagnostic assessment of the quality of public sector debt statistics (PSDS) of Malawi based on the IMF's Data Quality Assessment Framework for PSDS. The assessment was undertaken in February 2025 as part of a project to strengthen the...

In January/February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of Malawi against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The mission was undertaken as part of a project to strengthen the quality of public sector debt in...

In February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of the Republic of Zimbabwe against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The assessment was undertaken as part of a project to strengthen the quality of public...

This report discusses the findings and recommendations of the 2025 assessment of the data quality of the public debt statistics of Zimbabwe against the IMF's Data Quality Assessment Framework (DQAF). The assessment was undertaken as part of a project to strengthen the quality of public sector...

We use a rigorous three-stage many-analysts design to assess how different researcher decisions-specifically data cleaning, research design, and the interpretation of a policy question-affect the variation in estimated treatment effects. A total of 146 research teams each completed the same...

Commission Decision of 25 February 2016 setting up a Scientific, Technical and Economic Committee for Fisheries, C(2016) 1084, OJ C 74, 26.2.2016, p. 4-10. The Commission may consult the group on any matter relating to marine and fisheries biology, fishing gear technology, fisheries economics,...

Background: Accurate, real-time data about response technologies, capabilities, and availabilities are key to effective emergency response logistics; this is particularly important in remote settings, such as in the Arctic, where limited infrastructure, logistics, and technologies occasion the...

This document provides technical details and support for the implementation of air quality monitoring under the Directive (EU) 2024/2881 of the European Parliament and of the Council of 23 October 2024 on ambient air quality and cleaner air for Europe (recast) (AAQD, Directive (EU) 2024/2881)....

Data is an essential fuel for artificial intelligence (AI) to power the underlying machine learning (ML) algorithms. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data collection, which can ultimately lead to reduced...

In German surveys, educational attainment is typically assessed through two questionnaire items: the highest general school-leaving qualification and the highest vocational qualification or higher education degree. These items are often combined into one variable for analysis, but there is no...

Das Spannungsfeld zwischen dem Mobilitätsbedarf in modernen Gesellschaften und den Anforderungen an Lebensqualität, Klimaschutz und Sicherheit soll durch eine Transformation in Form der Mobilitätswende adressiert werden. Der digitale Wandel durch Einsatz moderner IT-basierter Lösungen ist...

Der Bedarf an schnell verfügbaren Daten zur kurzfristigen Entwicklung des Arbeitsmarktes steigt. Das Statistische Bundesamt analysiert diesbezüglich bereits seit Jahren das Potenzial von Online-Stellenanzeigen. Insbesondere in Projekten des "ESSnet Big Data" wurden verschiedene...

Policy evaluation is an essential tool of government as it ensures that the objectives of policies and programmes are being met and that tax revenues are being well spent. In many instances, policy evaluation involves using standard counterfactual analysis to measure the impact of a programme on...

In today's rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be...

Supervisory data are typically not conceived for statistical purposes or considered "official statistics", but they are disclosed to the public, either directly by the supervised institutions or indirectly by the competent authorities. This disclosure is required under Pillar 3 of the Basel...

Policy evaluation is an essential tool of government as it ensures that the objectives of policies and programmes are being met and that tax revenues are being well spent. In many instances, policy evaluation involves using standard counterfactual analysis to measure the impact of a programme on...

The IABSE-ADIAB dataset provides the linkage between the most recent case of a hire from the IAB Job Vacancy Survey and the administrative data of the hired person. The data comprise the entire working history of persons who were identified as IAB Job Vacancy Survey hires from 2010 to 2020. The...

Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...

Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...

Virtualization is indispensable for a service-oriented IT infrastructure, and hybrid models are also obvious in research and teaching in order to use cloud environments and on-premises solutions equally. In addition to multi-cloud solutions, internal integration concepts are also important if an...

Background: The importance of up-to-date product master data in the digital age should not be underestimated. However, companies still struggle to ensure high-quality product data, especially in the field of logistics. Hence, the focus of our research lies in the disregard of the importance of...

Interviewers have long been identified as a source of error in face-to-face surveys. However, previous studies have typically focused on a single source of interviewer-related error and single-country cross-sectional surveys. We extend this literature by investigating the influence of...

Data cooperatives are a type of data intermediary using long established cooperative models and global regulatory affordances to manage data with or on behalf of members (data producers) for the benefit of members or for trade with external queriers (data users).

In September 2024, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of the United Republic of Tanzania against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The mission was undertaken as part of a project to strengthen the quality of...