Data is the key resource of our time, increasingly taking a central position in business and society. By way of their unique and diverse characteristics (e.g., non-fungibility, non-rivalry, rapid deprecation, context-specificity), data have become highly valuable not only for fuelling modern AI applications, but also for innovative business solutions, daily operations and interorganizational value creation. Yet, the prevalence of data also raises questions concerning governance, quality, security, and value, especially when shared across complex data ecosystems between within and beyond organizational boundaries.

Data is at the core of information systems. At the same time, studies on data as the central research phenomenon have historically been fragmented across various disciplines in AI, data science, management, or law. Over the past decade, the European Union and its member states have recognized the potential of the data economy, urging initiatives around data sharing with the creation of ambitious data spaces and platforms. While studies taking interorganizational and ecosystem perspectives on data are emerging, our intellectual foundations for explaining and examining how data can be effectively and appropriately governed in these scenarios remains under development.

Track Co-Chairs:
Christine Legner, University of Lausanne, Switzerland
Olivia Benfeldt, Copenhagen Business School
Frederik Möller, TU Braunschweig, Germany
Aleksi Aaltonen, Stevens Institute of Technology

Schedule
2026
Sunday, June 14th
12:00 AM

A Design Science Research Approach Towards Compliance-Aware Multimodal Ai Training Data Preparation: Integrating Privacy, Copyright, And Utility

Nils Riekers, Neu-Ulm University of Applied Sciences
Marten Risius, Neu-Ulm University of Applied Sciences

12:00 AM

A Formal Model Of Incentive Alignment In Data Sharing Ecosystem

Prateek Paul, University of Galway
Umair ul Hassan, University of Galway

12:00 AM

A Typology For Responsible Delegation Of Data Quality Management To Generative Ai

Karen Roht, University of Tartu
Anastasija Nikiforova, University of Tartu
Hippolyte Lefebvre, University College Dublin

12:00 AM

Al Capone’S Storefront In The Digital Age: Theorising The Emerging Phenomenon Of Data Laundering

Alexander M. Schmid, Bern University of Applied Sciences

12:00 AM

Data Cooperatives As Data Trusts – Learnings From Two Contrasting Case Studies

Maximilian Werling, Ferdinand Steinbeis Institute

12:00 AM

Data Provenance In Practice – A Case Study In Banking And Finance Sector

Suheli Goswami, Aalto University School of Business

12:00 AM

Data-Driven Imaginaries: Exploring The Temporal-Affective Dimensions Of Data-Driven Development

Astri Barbala, University of Galway
Kieran Conboy, NUI Galway

12:00 AM

Enabling Self-Service Sensemaking For Data-Informed Decision Making: An Empirical Examination

Gayani Patabandige, Deakin University
Humza Naseer, Deakin University
Van Hau Trieu, Deakin University
Vanessa Cooper, RMIT University
Stuart Black, University of Melbourne

12:00 AM

Generating Synthetic Multi-Turn Conversations For Scalable Functional Testing Of Conversational Ai Systems

Niklas Weller, University of St. Gallen
Shijing Cai, Calvin Risk AG
Syang Zhou, Calvin Risk AG

12:00 AM

Missing Something? Accounting For Input Quality Uncertainty To Improve Ai Confidence Scores

Anna-Lena Kubillus, University of Ulm
Andreas Alexander Obermeier, University of Ulm

12:00 AM

One Size Does Not Fit All: Data Diplomatic Trajectories For Data Governance Implementation

Maria Trujillo Vasallo, Copenhagen Business School
Sine Zambach, Copenhagen Business School
Arisa Shollo, Copenhagen Business School

12:00 AM

Reconstructing Data Journeys: A Meta-Synthesis Of Qualitative Case Studies

Stefanie Ulschmid, University of Bamberg

12:00 AM

Repair What Matters: Uncertainty-Aware Prioritization For Data Quality Defects

Lukas Jakob Hägele, University of Ulm
Sebastian Traub, University of Ulm

12:00 AM

The Ambivalent Role Of Actor Disengagement For Value Creation In Data Ecosystems

Jonas Nienstedt, University of Goettingen
Maike Greve, Copenhagen Business School
Lutz M. Kolbe, University of Goettingen
Manuel Trenz, University of Goettingen

12:00 AM

The Data Space Canvas: A Framework For Structuring Business Models In Data Spaces

Julian Zerbin, Heinz Nixdorf Institute, Paderborn University
Christian Koldewey, Paderborn University
Roman Dumitrescu, Fraunhofer IEM

12:00 AM

Towards An Understanding Of Coopetition In Data Ecosystems: A Systematic Literature Review

Julian Zerbin, Heinz Nixdorf Institute, Paderborn University
Christian Koldewey, Paderborn University
Roman Dumitrescu, Fraunhofer IEM

12:00 AM

When We Cannot Stop The Data Flow: The Emotional Life Of Data In A Children’S Daycare Center

Lea Püchel, University of Münster
Tobias Brandt, University of Münster

12:00 AM