A classification framework for data marketplaces

Stahl, Florian; Schomm, Fabian; Vossen, Gottfried; Vomfell, Lara

doi:10.1007/s40595-016-0064-2

Cited by 65 publications

(58 citation statements)

References 22 publications

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“…The current data analytics practices in the ICARUS demonstrators are extensively discussed in order to understand the baseline in the different aviation stakeholders that ICARUS will need to overcome. • Axis V: Data Sharing that initially presents the ICARUS positioning in respect to the 12 dimensions along which data marketplaces can be examined (ranging from the type of core offering, participation & target audience, and domain, to pricing model and payment methods), according to [6]. Departing from the data-focused perspective, the ICARUS Data Sharing Model formalises all data attributes and qualities that affect, or are in any way relevant to, the ways in which data assets can be shared / traded.…”

Section: Icarus Data-driven Methods At a Glancementioning

confidence: 99%

Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence Marketplace

2019

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Today, digital transformation has drifted all industries with its proven capacity to improve operations and boost revenues while building a value chain ecosystem. The aeronautics ecosystem is almost unanimously invested in some way into a digital transformation strategy in which data typically plays an instrumental role. However, despite the vast quantity of data across myriad parameters that never stop flowing across the aircraft-passengers-luggage-cargo journeys, the aviation-related stakeholders are still at a relative disadvantage in terms of data gathering and sharing, especially since the eternal questions of “who owns the aircraft” and “who owns the passenger” remain open. In this contact, the present paper focuses on the design and delivery of the ICARUS data and intelligence platform that aims to enable trusted and fair data sharing and insightful data analytics in an end-to-end secure manner. The methodology followed during the implementation of the ICARUS platform is defined, the aviation data value chain is elaborated, the ICARUS Minimum Viable Product is outlined and the theoretical foundations of the ICARUS data management and value enrichment methods are introduced, giving way to a brief reference to the ICARUS unique selling points and platform implementation.

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Section: Icarus Data-driven Methods At a Glancementioning

confidence: 99%

Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence Marketplace

2019

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“…A bridge between these two stakeholders is a data marketplace. A data marketplace is a platform on which data from a variety of sources is collected, aggregated, processed, enriched, bought, and sold [2].…”

Section: Problem Statement and Objectivementioning

confidence: 99%

Don`t Buy A Pig In A Poke A Framework for Checking Consumer Requirements In A Data Marketplace

Lawrenz¹,

Rausch²

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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The 21st century is the century of data. Data is the new oil and powers many new applications and business models. The increasing value of data leads to the fact requires new possibilities and methods to trade with "data" as a trading good. One of these possibilities is a data marketplace, a digital e-commerce platform like eBay or Amazon, but specifically targeting data, information, and datasets. Since, other than physical trading goods, data is not so easy to verify, a framework is required to characterize data and to validate data against user requirements. This leads to a conflict between security and privacy requirements of data providers and the necessity of checking the data consumer requirements. In this paper, we discuss the specific challenges of data trading and introduce a framework to help users check their specific requirements (Data Quality) as a reference point for a purchase decision. 1.2. Research Methodology The research presented in this paper has been conducted using the Design Science methodology. Instead of formulating hypotheses, Design Science concentrates on developing an artifact in a context [3]. Artifacts are, for example, methods, techniques, notations, and algorithms used in software systems [3].

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“…According to [42], an electronic marketplace is a data marketplace if data trading is the main value proposition of the business model. Marketplace participants have to be able to upload, browse, download, buy, and/or sell machine-readable data.…”

Section: Data Marketplacesmentioning

confidence: 99%

Discovering Business Models of Data Marketplaces

Fruhwirth¹,

Rachinger

Prlja³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention, since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes.

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A classification framework for data marketplaces

Cited by 65 publications

References 22 publications

Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence Marketplace

Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence Marketplace

Don`t Buy A Pig In A Poke A Framework for Checking Consumer Requirements In A Data Marketplace

Discovering Business Models of Data Marketplaces

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