FAIR DATA Fund Autumn call 2022: meet the winners!
Alexandra den Heijer, Özlem Altinkaya Genel, Monique Arkesteijn
Alexandra den Heijer is Professor of Public Real Estate – Delft University of Technology; Faculty of Architecture, Department of Management in the Built Environment. Özlem Altınkaya Genel is Postdoctoral Researcher – Delft University of Technology, Faculty of Architecture, Department of Management in the Built Environment. Monique Arkesteijn is Associate Professor Real Estate Management, co-chair Campus Research Team, MBE – Delft University of Technology, Faculty of Architecture, Department of Management in the Built Environment.
About the project: Decision-makers and researchers working on the development of campuses need to assess the contemporary trends in campus design and management. Therefore, having access to the most up-to-date campus data is crucial for research and management purposes. The forced COVID-19 pandemic lockdowns and restrictions between 2020 and 2022 intensified the demand for relevant campus management information. While campus data can be obtained from various sources, this information is currently fragmented, not an open resource, and unstandardized. Since 2019, the Campus Research Team has been conducting the Campus of the Future project, funded by TU Delft Campus Real Estate. The Campus of the Future project proposes to develop decision-making strategies to match supply and demand for the future campus.
Menno Bokdam
Menno Bokdam is Assistant Professor at the Faculty of Science and Technology and the MESA+ Institute of Nanotechnology, University of Twente.
About the project: This project places the scientist in the ‘cockpit’ of a database of materials simulated at the atomic scale. These databases are so richly filled with information that it is difficult to assess its contents. We generate an overview of the most important physical properties in the database and their distributions. It enables a quick executive decision; to use, extend or discard this database for new simulations.
Raúl Zurita-Milla
Raúl Zurita-Milla is Prof. dr. + Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente.
About the project: Thanks to the 4TU.ResearchData fund, a suite of long-term and high-spatial resolution spring onset indices over Europe and North and Central America will be made available next to the scripts used to produce them. These indices predict the day of the year on which temperature-sensitive plants leaf out and start blooming. This information can be used to check whether those plants might suffer from frost damage (aka “false spring”) and, more generally, to study the impact of climate change on our planet.
Dennis Pohl
Dennis Pohl is Postdoctoral Researcher at Theory of Architecture and Digital Culture at TU Delft, and Research Coordinator at The New Open. His research interest lies in a material and cultural history of the digital in architecture.
About the project: This project aims to make the 4TU.ResearchData repository FAIR for architectural visual data. We plan to achieve on the one hand a clean dataset of annotated architectural drawings, that will be published, and made findable on the 4TU.ResearchData repository. And on the other hand, we aim to develop a visual search interface that makes the visual data findable. Research and education will profit enormously, once a clean dataset from the current repository is refined, to facilitate AI and ML workflows for automated tagging, visual data extraction or intuitive search.
Simon Langener, Daniel Davison, Dennis Reidsma, Dirk Heylen
Simon Langener is a PhD researcher at the department Human Media Interaction (EEMCS), University of Twente. Dr. Daniel Davison is the Interaction Lab manager at the department Human Media Interaction (EEMCS), University of Twente. Dr. Dennis Reidsma is an associate professor at the department Human Media Interaction (EEMCS), University of Twente. Prof. Dr. Dirk Heylen is a full professor at the department Human Media Interaction (EEMCS), University of Twente
About the project: The MultiLis corpus comprises recorded interactions between a single speaker and three listeners to understand human backchanneling during conversations, for instance to predict when virtual agents should do so. Corpus-based research is essentially about collecting human data and making it openly available to other researchers. Dataset FAIRification requires good documentation practices and adherence to ethics/open file standards to evade high personnel workloads and data loss in the long run. By means of the MultiLis corpus, we aim to document our process in analyzing and preparing the dataset for rich metadata documentation. Moreover, we aim to feedback learnings to our group and establish first instructional documents (to avoid pitfalls in the long run). By this, we intend to promote and support the FAIRification process within our group. This also includes identifying potential frameworks, licensing, and ethical issues (e.g., due to the GDPR introduction).
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