The World Bank Investment Climate Unit, in collaboration with the Global Fiscal Policy and Sustainable Growth Unit, developed a Corporate Income Tax (CIT) Incentives Database to address data gaps and meet emerging needs for more information on the prevalence and role of incentives. The Database...

This final report compiles the results of the work done in the first part of the public procurement "Development of Life Cycle Information" launched in 2022 by the European Commission, Directorate General for Research and Innovation. In this report, a framework for a publicly available...

FamData is a database covering family businesses and non-family businesses across various size classes and branches containing structural and financial information. The ifo institute assembled a business panel with executives from almost 4000 companies. In addition to the "hard" business data...

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 note presents the methodology behind the IMF's World Revenue Longitudinal Database, a comprehensive data set that tracks government revenue trends since the early 1990s. With data for 193 countries, including 190 IMF member countries, the World Revenue Longitudinal Database provides...

Regional databases (RDBs) are recognized under the 2017 Data Collection Framework (DCF) Regulation as essential tools for coordinating regional fisheries data management. RDBs consolidate fisheries data at a low aggregation level, centralizing storage and reducing the administrative burden on...

Supplier quality evaluation in industrial sectors is well-recognized due to its direct impact on quality assurance and improvement. This task is challenging due to the need to process extensive qualitative and quantitative data, multi-dimensional attributes, and numerous suppliers. Traditional...

Economic and social scientists are increasingly interested in historical data, but many relevant sources are still available in analog form, limiting accessibility and research potential. This article introduces the WBdigital database, which aims to improve this situation. The database provides...

Quantitative indicators at the local level play an increasingly important role in the formulation and evaluation of regional policies. Regional statistical indicators are available from several sources, but comparability of their time-series is often affected by breaks caused by boundary changes...

Die wissenschaftsgeleitete Politik- und Gesellschaftsberatung hat in den letzten Jahren enorm an Bedeutung gewonnen und ist fortwährend vielfältiger geworden. Politische Entscheidungen basieren immer häufiger auf empirischen Forschungsergebnissen und Gutachten. Allerdings kann die Suche nach...

The Global Human Settlement Layer (GHSL) project produces new global spatial information, evidence-based analytics and knowledge describing the human presence on Earth. It operates in a fully open and free data and methods access policy. The knowledge generated with the GHSL is supporting the...

The Global Human Settlement Layer (GHSL) project produces new global spatial information, evidence-based analytics and knowledge describing the human presence on Earth. It operates in a fully open and free data and methods access policy. The knowledge generated with the GHSL is supporting the...

Developed with analytical support from Prognos AG in the context of the Just Transition Platform, this document summarises relevant existing studies and databases, primarily at EU level, that provide both analytical insight and relevant statistics on effects of the transition on Member States...

Developed with analytical support from Prognos AG in the context of the Just Transition Platform, this document summarises relevant existing studies and databases, primarily at EU level, that provide both analytical insight and relevant statistics on effects of the transition on Member States...

The Census Bureau's Longitudinal Business Database (LBD) underpins many studies of firm-level behavior. It tracks longitudinally all employers in the nonfarm private sector but lacks information about business financing and owner characteristics. We address this shortcoming by linking LBD...

This report presents a collection of EUROPLEXUS [1] numerical models developed at JRC for the simulation of experiments conducted in the SIMLab Shock Tube Facility (SSTF) or in other similar test facilities of the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. The...

CICED is a unique, tailor-made judicial database set up by Eurojust to preserve, store and analyse evidence of core international crimes. CICED's centralised approach supports national and international investigations by shedding light not only on individual offences but also on the systemic...

CICED is a unique, tailor-made judicial database set up by Eurojust to preserve, store and analyse evidence of core international crimes. CICED's centralised approach supports national and international investigations by shedding light not only on individual offences but also on the systemic...

The Joint Research Centre's Integrated Database of the European Energy System (JRC-IDEES) incorporates in a single database a rich set of information allowing for highly granular analyses of the dynamics of the European energy system, so as to better understand the past and create a robust basis...

Fish stomach content is a compelling data source, as stomachs can provide information about diet of predators, distribution of prey fish, predator-prey preference or changes in diet over time. For instance, stomach samples have historically been used to inform the natural mortality of stock...

Tourism for all, and especially accessible tourism, is a generalized social demand that must be made possible by public authorities and companies in some way linked to the provision of tourist services. International regulations on digital accessibility are advancing so quickly that in just 5...

Seaports play a crucial role in international trade and economic development. This study aims to analyze the existing literature on port facilities to identify research patterns and emerging areas of interest. Using the Scopus database, the researchers searched for publications related to port...

Association rule mining is a widely used data mining technique in various domains. It enables the identification of trends, frequent patterns, and relationships among the data. This study introduced a new method for mining association rules independently from multiple data sources. It combined...

Using publicly available databases and drawing on a wide range of indicators, this paper reviews the institutional performance of Mozambique across seven broad categories: rule of law and judicial independence; voice and freedom of expression/association; political participation; accountability...

The development of health indicators to measure healthy life expectancy (HLE) is an active field of research aimed at summarizing the health of a population. Although many health indicators have emerged in the literature as critical metrics in public health assessments, the methods and data to...

The oil and gas industry is known for its rapid technological advancements and the complexity of its operations, increasingly relying on data-intensive management. As subsea projects-from exploration to decommissioning-become more complex and data-driven, integrating knowledge management (KM)...

Quantitative indicators at the local level play an increasingly important role in the formulation and evaluation of regional policies. Regional statistical indicators are available from several sources, but comparability of their time-series is often affected by breaks caused by boundary changes...

The continuously updated database of failures and censored data of numerous products has become large, and on some covariates, information regarding the failure times is missing in the database. As the dataset is large and has missing information, the analysis tasks become complicated and a long...