Suchergebnisse

Verwaiste Werke sind urheberrechtlich geschützte Werke, deren Rechteinhaber nicht identifizier- oder auffindbar sind und deren Nutzung mangels Einverständnis des Rechteinhabers Risiken birgt. Der Autor untersucht aus internationaler Perspektive das Problem verwaister Werke, das insbesondere im Zusammenhang mit der Erstellung umfangreicher Onlinebibliotheken diskutiert wird. Er analysiert das Entstehen, die Möglichkeit der Verhinderung des Entstehens sowie die rechtliche Nutzbarmachung verwaister Werke. Außerdem bearbeitet er die Frage, ob und wie der Waisenstatus eines Werkes festgestellt und beendet werden kann.Die Untersuchung erfolgt anhand zahlreicher Regelungen und Regelungsvorschläge verschiedener Staaten unter Berücksichtigung der Vorgaben internationaler Urheberrechtsabkommen. Dabei werden die Besonderheiten des kontinentaleuropäischen droit d'auteur- und des angloamerikanischen Copyright-Systems herausgearbeitet

PurposeCurrent business challenges force companies to exchange critical and sensitive data. The data provider pays great attention to the usage of their data and wants to control it by policies. The purpose of this paper is to develop usage control architecture options to enable data sovereignty in business ecosystems.Design/methodology/approachThe architecture options are developed following the design science research process. Based on requirements from an automotive use case, the authors develop architecture options. The different architecture options are demonstrated and evaluated based on the case study with practitioners from the automotive industry.FindingsThis paper introduces different architecture options for implementing usage control (UC). The proposed architecture options represent solutions for UC in business ecosystems. The comparison of the architecture options shows the respective advantages and disadvantages for data provider and data consumer.Research limitations/implicationsIn this work, the authors address only one case stemming from the German automotive sector.Practical implicationsTechnical enforcement of data providers policies instead of relying on trust to support collaborative data exchange between companies.Originality/valueThis research is among the first to introduce architecture options that provide a technical concept for the implementation of data sovereignty in business ecosystems using UC. Consequently, it supports the decision process for the technical implementation of data sovereignty.

Water, light, plants and animals: the interplay of these factors in a natural ecosystem is an excellent role model for state-of-the-art value chains within economy, as ecosystems are characterized by the fact that not one of the systems members is able to optimize their well-being on their own. Any ecosystem has to come together and act as a whole, in order to gain profits. Thus, ecosystems create a balance between the reciprocal benefits of its members. But what do ecosystems have in common with the digital economy? The proliferation of digital technologies and artificial intelligence solutions is accelerating business models that are characterized by steadily increasing data traffic. In this sense, a data ecosystem is an ecosystem in which data is the strategic resource for the success of the entire system. Making the most of this valuable resource must be the goal of business ecosystems. The Fraunhofer Institute for Software and Systems Engineering ISST is setting standards for a (controllable) data sharing. Its scientists are researching the value of data as well as handling data sovereignly. With many other Fraunhofer institutes, Fraunhofer ISST closely collaborates with partners from industry, research and politics within the initiative International Data Spaces to design and implement the framework for sovereign data sharing of the future. Within this endeavor, Fraunhofer ISST focuses on four application sectors: Healthcare, Logistics, Data Business and Automotive. This paper will elaborate on the rising topic of data ecosystems and how organizations can generate more value of existing data assets by using inter-organizational cooperations.