As data is increasingly acknowledged as a highly valuable asset, much effort has been put into investigating inter-organisational data sharing, aiming at utilising the value of formerly unused data. Moreover, most researchers agree, that trust between actors is key for successful data sharing activities. However, existing research oftentimes focus on trust from a data provider perspective. Therefore, our work highlights the unbalanced view of trust, addressing it from a data consumer perspective. More specifically, our aim is to investigate trust enhancing measures on a data level, that is data trustworthiness. We found, that existing data trustworthiness enhancing solutions do not meet the requirements of the domain of inter-organisational data sharing. Therefore, our study addresses this gap. Conducting a rigorous design science research approach, this work proposes a new Levels of Assurance for Data Trustworthiness artifact. Built on existing artifacts, we demonstrate, how it addresses the identified challenges within the domain appropriately. We found that our novel approach requires more work to be suitable for adoption. Still, we are confident that our solution can increase consumer trust. We conclude by contributing to the body of design knowledge and emphasise the need for more attention to be put into consumer trust.

翻译：随着数据日益被公认为极具价值的资产，研究者们投入了大量精力探索跨组织数据共享，旨在挖掘未利用数据的潜在价值。此外，大多数学者认同参与者间的信任是数据共享活动成功的关键。然而，现有研究往往从数据提供方的视角探讨信任问题。因此，本研究揭示了这种不平衡的信任观，转而从数据使用方的视角进行审视。具体而言，我们的目标是研究数据层面的信任增强措施，即数据可信度。我们发现，现有的数据可信度增强方案未能满足跨组织数据共享领域的需求。为此，本研究致力于填补这一空白。通过严谨的设计科学研究方法，本文提出了一种新的数据可信度保障等级模型。该模型建立在现有成果基础上，我们论证了其如何恰当地应对该领域已识别的挑战。研究发现，这一创新方法需要进一步完善才能适用于实际应用。尽管如此，我们确信该方案能够有效提升使用方的信任度。最后，本研究为设计知识体系作出贡献，并强调需要更多关注使用方信任的建立。