Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion

ORCID is a scientific infrastructure created to solve the problem of author name ambiguity. Over the years ORCID has also become a useful source for studying academic activities reported by researchers. Our objective in this research was to use ORCID to analyze one of these research activities: the publication of datasets. We illustrate how...

Multiparty Computation: The effect of multiparty computation on firms' willingness to contribute protected data

Organizations share data for collective purposes: new opportunities are created to allow business enhancement. While new businesses contribute to economic development, valid reasons exist to inhibit data sharing (e.g. citizen privacy and sensitive information). Multi Party computation (MPC) provides a solution to these risks. However, MPC...

Realising platform control in data marketplaces through Secure Multi-Party Computation: A qualitative study exploring the use of Secure Multi-Party Computation (MPC) as an instrument for realising platform control in data marketplaces

Practical problem: In today's digitally transformed and connected world, data has become a critical strategic corporate resource. In this context, data marketplaces are becoming more popular since they enable wider accessibility and more efficient interaction among companies. Despite this, there are several barriers in sharing data through this...

Design for Trust: Farmer Data Sharing Platform for Rabobank

Trust is a human mechanism that opens doors to innovation and progress. Especially when risk is involved, trust will create a bridge between you and an opportunity and will enable that crossover. I believe design can form such a bridge, and in this project I explored how design can create trust.<br/>This project was done in the context of a...

Breaking Through Data Silos in Multinational Engineering Companies: A study on how to enhance intra-organizational data sharing by understanding social networks

This research investigates how to break through intra-organizational data silos in multinational engineering companies by analyzing data sharing networks. Data occurs in many ways like numbers, statistics, and documents in structured and unstructured forms. Companies consider data as one of their most valuable assets for decision-making and to...

Effectiveness of Market Segmentation techniques using Data Sharing in the Telecom industry

Since the start of the 21st century, the amount of captured data has been continuously increasing in this digital age. With almost 2.5 quintillion bytes of data being generated and captured every day (Liang et al., 2018), researchers and companies have a strong interest in exploring the value that can be created with this data, called big data...

Ecosystem data governance as a critical factor for data platform participation: A BWM approach to determine the relative importance of ecosystem data governance to IoT data providers

The Internet-of-Things has grown much in popularity over the past years, leading to the gathering of large amounts of pervasive and detailed data. This same trend is seen in the agriculture industry, where a lot of data can be collected on the cultivation methods. The agriculture industry is considered to be a strategically interesting industry...

Multidisciplinary Collaboration Through Online Virtual Research Environments (VREs): What do VRE users need?

Making new data combinations and collaborating with researchers from different disciplines are becoming essential ingredients of scientific research. These activities are increasingly contributing to solutions for multidisciplinary global problems, such as climate change and energy transition. Virtual Research Environments (VREs) can potentially...

Creating value through data collaboratives: Balancing innovation and control

Driven by the technological capabilities that ICTs offer, data enable new ways to generate value for both society and the parties that own or offer the data. This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value. The concept thereby bridges...

A research roadmap to advance data collaboratives practice as a novel research direction

An increasing number of initiatives have emerged around the world to help facilitate data sharing and collaborations to leverage different sources of data to address societal problems. They are called “data collaboratives”. Data collaboratives are seen as a novel way to match real life problems with relevant expertise and data from across...

Data Collaboratives as a New Frontier of Cross-Sector Partnerships in the Age of Open Data: Taxonomy Development

Data collaboratives present a new form of cross-sector and public-private partnership to leverage (often corporate) data for addressing a societal challenge. They can be seen as the latest attempt to make data accessible to solve public problems. Although an increasing number of initiatives can be found, there is hardly any analysis of these...

Benefits of linked data for interoperability during crisis management

Floodings represent a permanent risk to the Netherlands in general and to her power supply in particular. Data sharing is essential within this crisis scenario as a power cut affects a great variety of interdependant sectors. Currently used data sharing systems have been shown to hamper interoperability between stakeholders since they lack...

Departures 2020: A vision and concept for the Non-Schengen passenger ground process of KLM at Schiphol Airport using biometrics.

With the rise of self-services at airports, time has come to take the next step in optimizing KLM’s passenger ground process at Amsterdam Schiphol Airport (AAS). In the current non-Schengen departure process at Schiphol the various touch points that a passenger encounters in the process do not communicate with each other and there is no...

Enhancing Visibility in International Supply Chains: The Data Pipeline Concept

With increasing global trade and growing emphasis on security, enhanced information sharing between actors in global supply chains is required. Currently, the data about cargo available in the supply chain does not provide a timely and accurate description of the goods. To solve this data quality issue, data should be captured upstream at the...