Despite its growing success, open banking (OB) struggles to present a coherent identity. Indeed, despite its widespread adoption around the world, various models can be identified based on rationales, the nature of data-sharing obligations, and the standardisation process. Against this...

Artificial intelligence has evolved from early concepts like Turing's machine to today's advanced vision, machine learning and neural networks. AI revolutionizes various industries: manufacturing processes, financial services, healthcare and energy management. These applications highlight AI's...

Most political systems consist of multiple layers. Yet datasets are predominantly situated at a single territorial tier, encouraging methodological nationalism, regionalism, and localism. We present three new integrated datasets that include electoral, institutional, ideological, and government...

Leveraging data is becoming increasingly important for businesses. However, this transformation can be complex, as it requires a vast array of social and technical capabilities. To generate consensus in this domain, this study examines data & analytics maturity models by analyzing their...

Despite its growing success, open banking (OB) struggles to present a coherent identity. Indeed, despite its widespread adoption around the world, various models can be identified based on rationales, the nature of data-sharing obligations, and the standardisation process. Against this...

Das Wärme- und Wohnen-Panel ist eine jährliche Befragungsreihe zur Wärmewende mit rund 15.000 teilnehmenden Haushalten in Deutschland. Die Befragung, die im Rahmen des vom Bundesministerium für Bildung und Forschung (BMBF) geförderten Kopernikus-Projekts Ariadne (siehe...

Leveraging data is becoming increasingly important for businesses. However, this transformation can be complex, as it requires a vast array of social and technical capabilities. To generate consensus in this domain, this study examines data & analytics maturity models by analyzing their...

This research note presents an open-source version of the ParlGov website and discusses the state of cross-national data on parties, elections, and cabinets. The ParlGov project is a prominent political science data infrastructure with information for EU and OECD democracies since 1900. The data...

Das Leibniz-Zentrum für Europäische Wirtschaftsforschung (ZEW) erhebt seit 1993 jährlich die Innovationsaktivitäten der deutschen Wirtschaft. Die Erhebung findet im Auftrag des Bundesministeriums für Bildung und Forschung (BMBF) statt und wird in Zusammenarbeit mit dem Fraunhofer Institut...

The growing relevance of artificial intelligence (AI) and data in digital platform ecosystems shapes value creation, recently discussed by scholars as data network effects. Complementors significantly contribute to the value that consumers derive from a platform through its offerings. The...

In this article, the authors identify and explore the phenomenon of consumer cyborgification and ask what the legal and ethical implications of this emerging trend are. They consider whether fundamental legal principles, concepts, and assumptions in various EU acts and directives are adequate to...

This paper investigates whether investments in data affect firms’ R&D and whether the two are productivity-enhancing complements. We conceptualise and test whether investments in data reduce market uncertainty, thereby mitigating the inherent uncertainty of R&D and enhancing research and...

Macroeconomic data releases are very important benchmarks of the economy. Therefore, the vast majority of financial market analysts and traders closely monitor both the projected estimates and, the intuitively more impactful actual values. In this research, we focus on the uncertainty associated...

In this work, we problematize the issue of the statistical visibility of the trans population in the federal government's databases and administrative records. To the extent that it is represented through informational traces or vestiges, this segment encounters problems about population...

The COVID-19 pandemic exposed significant weaknesses in Germany's ability to generate timely, equity-sensitive evidence at the household level. While national surveillance systems produced daily counts of confirmed cases, hospitalisations, and deaths, they offered little insight into the social...

Das FDZ Ruhr am RWI stellt Preisindizes für Wohnungen und Häuser (Vermietung und Verkauf) in Deutschland ab dem Jahr 2008 zur Verfügung. Die Preisindizes basieren auf dem Immobiliendatensatz RWI-GEO-RED, der Immobilienangebote von ImmoScout24 zusammenfasst. Wir führen drei Arten von...

Das FDZ Ruhr stellt einen Datensatz zu gewerblichen Immobilienanzeigen in Deutschland zur Verfügung, der auf Informationen der Internetplattform ImmoScout24 beruht. Der Datensatz umfasst ein breites Spektrum an Immobilienarten, unter anderem Büros, Einzelhandel und Hotels. Es ist wichtig zu...

When communicating numeric estimates with policymakers, journalists, or the general public, experts must choose between using numbers or natural language. We run two experiments to study whether experts strategically use language to communicate numeric estimates in order to persuade receivers....

A new social science framework for studying the unprecedented social and economic restructuring driven by digital data.Digital data have become the critical frontier where emerging economic practices and organizational forms confront the traditional economic order and its institutions. In Data...

Migration scholars agree that migration is a highly gendered process. While the literature on this topic is increasing, the knowledge produced remains fragmentary and has not been synthesized systematically yet. This literature review aims at summarizing the current findings of quantitative...

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).

This paper compares two important sources of tax revenue statistics for African countries, namely the Africa Tax Administration Forum's African Tax Outlook and the United Nations University World Institute for Development Economics Research Government Revenue Dataset. We consider the background,...

Considerable resources have been spent on estimating the size of populations of people who use drugs (PWUD) and people who inject drugs (PWID) in Africa. Precise estimates are elusive, not least because of stigma and criminalization faced by these populations. Bio-behavioral surveys focused on...

By regulating how firms collect, store, and use data, privacy laws may change the role of data in production and alter firm demand for information technology inputs. We study how firms respond to privacy laws in the context of the EU's General Data Protection Regulation (GDPR) by using seven...

We present the largest homogenous dataset of grain prices for four major types of grain for pre-industrial Germany covering 70 cities with a total of 259 time series. This article describes the sources and the methodology followed to create calendar-year-based price series in grams of silver per...

Artificial intelligence has evolved from early concepts like Turing's machine to today's advanced vision, machine learning and neural networks. AI revolutionizes various industries: manufacturing processes, financial services, healthcare and energy management. These applications highlight AI's...

Open data has been heralded as bringing great benefits to businesses and individuals alike in the EU, enabling the emergence of a data agile Europe and a society empowered by data. However, such arrangements are far from being free of disadvantages, especially for the citizens of smart cities....

When communicating numeric estimates with policymakers, journalists, or the general public, experts must choose between using numbers or natural language. We run two experiments to study whether experts strategically use language to communicate numeric estimates in order to persuade receivers....

Cross-border data flows are the lifeblood of today’s social and economic interactions, but they also raise a range of new challenges, including for privacy and data protection, national security, cybersecurity, digital protectionism and regulatory reach. This has led to a surge in regulation...