Our Data Champions

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Assistant Professor
Faculty of Technology, Policy and Management
Department: Multi-Actor Systems

Areas of experise:
Data analysis, modelling, simulation

Contact information

E-mail: y.huang@tudelft.nl
Tel:+31 15 27 83822
Social Media: LinkedIn
ORCiD: 0000-0002-4396-1990

 

 

 

Motivation

I hope that myself or someone else can use and reuse my data, and possibly validate the analysis. I’d like to spread the word of the importance of data management and reuse, and where and how to do it. It seems fun to do.

Postdoctoral Researcher
Faculty of Technology, Policy and Management 
Department: Engineering Systems and Services

Areas of expertise:
Open data, research data, data infrastructures, design, user service patterns, online education

Contact information
Motivation

The opening up of research data can be revolutionary for scientific advancement. The use of open research data in combination with new Information and Communication Technologies now offers tremendous opportunities, for example, by obtaining new insights by analysing and combining huge amounts of open research data. Despite the many potential advantages of open research data, researchers are still reluctant to open up their own data and to use the open research data of others. My research focuses on what drives researchers, governments, companies and other actor types from different disciplines and domains to open up and use data.

Associate Professor
Faculty of Applied Sciences
Department: Quantum Nanoscience

Areas of expertise:
Quantum nanoscience, numerical simulations

Contact information
Motivation

I view the research data publication one of the most urgent and important improvements that my community needs to implement and follow. Good data management and sharing improves research quality and speed and increases research reliability and reproducibility. I also hope to improve my awareness about the needs of different researchers within my community and learn about the best practices in data management and publication from other communities.

PhD Student
Faculty of Applied Sciences

Areas of expertise:
Biochemical engineering; Simulation tools for the design and optimization of equipment in purification processes; Software version control tools (git, easybuild etc); Reproducible workflows using Matlab and Python.

Contact information
Motivation

I'm very passionate about data provenance, software and data carpentry. I try to do this in my daily work and help those around me by being able to provide hands on experience and advice on version control for software development and data management. I can also support the TU wide strategies on these topics.   

Assistent Professor
Faculty of Aerospace Engineering
Department: Aerospace Structures & Materials

Areas of expertise:
My academic expertise is on the fatigue and damage tolerance behaviour of aircraft materials and structures. Regarding data management: Open Science Framework and use of repositories such as Github.

Contact information
Motivation

The pace at which science and research advances at this current moment outpaces the traditional means of disseminating knowledge through journal articles. I feel that through pursuing a more open approach to sharing and disseminating your research, even while it is ongoing, will enable it to keep relevant and impactful.

PostDoc Researcher
Faculty of Architecture and the Built Environment - OTB

Areas of expertise:
Urban Planning, Public Administration, Participatory Planning. 

Contact information

E-mail: E.Falco@tudelft.nl
Social Media: LinkedIn

Motivation

Data Management, in all its phases, is at the basis of scientific research and fundamental for good quality work. Data sharing and open access are practices which should be part of our research efforts. 

Professor Ports and Waterways
Faculty of Civil Engineering and Geosciences. Department: Hydraulic Engineering, Ports and Waterways

Areas of expertise:
Generating decision ready information from data, models and tools (bathymetries, logistics, etc.) 

Contact information

E-mail: m.vankoningsveld@tudelft.nl
Social Media: LinkedIn

Motivation

I believe you have to work together to make progress. A team that works together and can keep on building on previous results is on a path of growth. 

Assistant Professor
Faculty of Industrial Design Engineering

Areas of experise:
Development and application of user-centred design methods in living labs setups in order to understand people's daily life practices and the impact on health and environmental issues. In living labs setups, I specifically look at how to capture contextual aspects of daily practices by means of an active participation of people themselves.

Contact information
Motivation

To enable other research communities to do further analysis, replicate analysis, integrate with other data sources, etc. on the basis of the published data. By making my data referable I'd like to be able to trace such outcomes.

Associate Professor
Faculty of Applied Science. Department: Quantum nanoscience

Areas of expertise:
Quantum physics 

Contact information
Motivation

Improving the quality of science in my own group and improving the quality and speed of evolution of science in my community. In the SteeleLab, we are committed to open science.

Assistant Professor
Faculty of Mechanical, Maritime and Materials Engineering. Department: Delft Center for Systems and Control  

Areas of expertise:
Systems and Control, Optimization, Game Theory

Contact information
Motivation

Proper data and software management and sharing is becoming a priority for open science.

Associate Professor
Faculty of Aerospace Engineering. Department: Control & Operations 

Areas of expertise:
My main research focus is to achieve autonomous flight of swarms of tiny flying robots. In order to achieve this, I investigate computationally efficient artificial intelligence, which is very much inspired by the intelligence of small flying insects. My areas of expertise are: artificial intelligence, computer vision, and machine learning for robotics.  

Contact information

The main reason is that I firmly believe in open science: sharing data, source code, and even hardware designs, allows others to reproduce your scientific experiments and findings with much less effort. Other researchers can then easily compare their work with yours, or build upon your work, so that together we can make much quicker progress. As a side-effect, it increases the impact of your work, both in terms of scientific citations and in terms of use by industry. Finally, providing open access to data and source code forces you to put in an additional effort in making it comprehensible and easy to use. This is not only useful to others, but also to yourself when you have to reuse it at a later date.

Scientific software developer
Faculty of Architecture and the Built Environment
Department of Urbanism, 3D Geoinformation

Areas of expertise
Geodata management and processing

Contact information
Motivation

Before geomatics, I worked as a landscape architect and a large part of my social network consists of environmental planners and designers. Therefore I know how much effort is wasted every day, due to the lack of, or inefficient data management. I believe this could be improved.
Furthermore, we do valuable work in our group that enables applications in the environmental planning and design practice. Not sharing it would be a waste. 

Lecturer
Faculty of Applied Science
Department Science Education and Communication

Areas of expertise:
Research Methods in Social Sciences

Contact information

E-mail: E.Kalmar-1@tudelft.nl
Social media: LinkedIn
ORCid: 0000-0003-4616-8047

 

Motivation

I would like to show a good example to my colleagues in data management

Assistant Professor
Faculty of Civil Engineering and Geosciences
Department: Materials, Mechanics, Management & Design

Areas of expertise:
Computational mechanics, coding, simulations

Contact information
Motivation

In our group we develop code and use it for simulations. For the code to be re-usable even within our own research group (students come and go), it is important that it is findable and documented. Data and code sharing outside the group is good for the visibility of our own research and for the scientific progress in general. I see the need to systematically tackle data management and therefore I would like to be better informed about best practices. I am also willing to share my experiences with colleagues and advise them on what works and what does not.

Assistant Professor
Faculty of Electrical Engineering, Mathematics and Computer Science
Department: Intelligent Systems

Areas of expertise:
Bioinformatics, genomics, high performance computing, data integration

Contact information
Motivation

Every researcher needs to manage their data on a day-to-day basis, so it is important to do it properly. I have been a driving force for data management within our group/department and indirectly at the faculty and I would like to make other researchers aware that data management is a good idea.

Associate Professor
Faculty of Technology, Policy and Management
Department: Multi-Actor Systems

Areas of expertise:
Statistics, Bayesian networks, image processing, geographic information systems, open source computing, text mining, consumer and microdata, science and technology information, urban science, municipal policy making

Contact information

E-mail: s.cunningham@tudelft.nl
Social Media:Twitter

Motivation

I believe in the importance of empirical research and open and transparent decision-making. I believe I can help increase awareness, and in particular support our students who correctly see data management as a critical job skill. I can incorporate materials in lectures, invite guest lectures, host and support blogging and social media. I can disseminate interesting data sets and recipes for research.

PostDoc Researcher
Faculty of Civil Engeneering and Geosciences

Areas of expertise:
Electronic Lab Notebooks (ELNs), Experimental study of 2D foam flows, Small scale core floods

Contact information
Motivation

I have experience with Electronic Lab Notebooks (ELNs) as a technique for 1) managing my data, 2) sharing the data with colleagues and 3) archiving my research notes in a way that makes it easy to pass on my work to my successors.I am happy to share my experience with other researchers to help them make informed decisions about using ELNs. I could do this my given brief demos on the different options, pros and cons of ELNs to small groups with opportunity for open discussion.

Assistent Professor
Faculty of Applied Sciences. Department of Radiation Science and Technology 

Areas of expertise: 
Computational physics, coding (Python, Matlab, C), version control (Gitlab, smartgit), patient data management, project management

Contact information

E-mail: z.perko@tudelft.nl
Social media: LinkedIn
ORCiD: 0000-0002-0975-4226

Motivation

For increasing the clarity and reproducibility of modern research, best practices in data management, software development and collaboration are crucial. Since in my own research I am always keen on finding better ways and new gadgets for organizing my data, streamlining processes and keeping records, the data championship seems like an ideal opportunity. I hope I will be able to help other researchers using smart tools to solve their data management, version control and backup issues, as well as improve my own knowledge further. 

Associate Professor
Faculty of Aerospace Engineering. Aerospace Structures and Computational Mechanics Department. 

Areas of expertise:
Aerospace structures, Smart and aeroelastic structures, Numerical simulations, Experimental research.

Contact information
Motivation

It is important that we work as transparent as possible for two main reasons. First of all, to demonstrate our scientific integrity by showing that the claims we make and conclusions we draw are indeed backed up by the proper data. Secondly, to share these data to help other researchers and to create new contacts and collaborations. I want to encourage and convince all people that sharing and preserving data is not a burden, but that it creates new opportunities.  

Associate Professor
Faculty of Electrical Engineering, Mathmatics and Computer Science. Department of Intelligent Systems

Areas of expertise:
Behaviour change support systems, human-computer interaction, user studies, interactive intelligence, intelligent conversational agent

Contact information
Motivation

Gone are the days where it was only important to report on your empirical findings. To move forward, we should be able to replicate each other's analyses. The first step, therefore, is data transparency. As a second step, I strongly believe also in sharing the program code for the analysis. Furthermore, for us to be effective, I am strongly in favour of support facility and procedures that can help us managing and share our data in an easy way.

Postdoctoral researcher
Faculty of Applied Sciences. Department: Biotechnology

Area of expertise:
I have a PhD in Bioinformatics and Systems Biology. I have advanced user skills in linux/unix environments and scripting languages such as Perl and R. I have intermediate level on Java, Python and Ruby. Basic level of PHP, javascript and mysql.

Contact information

E-mail: raul.ortiz@tudelft.nl
Social media: Twitter
ORCiD: 0000-0003-4186-8941

Motivation

I generate and analyse big datasets, I have found myself in the position where I cannot easily find or replicate other people's analyses and would like to make sure other people does not find those issues on the outcomes of my research. 

Assistant Professor
Faculty of Aerospace Engineering. Department: Space Engineering

Areas of expertise: 
Guidance, navigation, and control; model-based fault diagnosis; fault-tolerant systems; distributed space systems

Contact information

E-mail: r.fonod@tudelft.nl
Tel: +31 15 27 84328
Social Media: LinkedIn
ORCiD: 0000-0002-9434-3156

Motivation

I am glad to witness the advent of a new era of openness in science. I was always supportive of the idea of open access, open data, and open education. I believe that open science has tremendous potential in bridging various research disciplines, enabling fast and systematic dissemination of research outputs, preserving data for future generations, ability to re-use (not inventing the wheel again), and equally importantly providing transparent means to tackle issues related to research integrity (e.g., open reviews, impartial replication and validation of results, etc.). I feel being among the first advocates of open data and open science at TU Delft can have meaningful impact not only on one’s own research and/or research group, but also on the entire research community in general. 

Professor
Faculty of Aerospace Engineering. Department: Aerodynamics, Wind Energy and Propulsion

Areas of expertise:
The area of my research interests is theoretical and computational fluid dynamics with an emphasis on complex fluids and turbulence phenomena. I have fifteen years of experience on writing high-performance computing software for different supercomputer architectures and the processing of large datasets.

Contact information

E-mail: S.Hickel@tudelft.nl
Social media: LinkedIn
ORCiD: 0000-0002-7463-9531

Motivation

My primary research tools for investigating physical problems are numerical modeling and high-resolution simulation on massively parallel supercomputers. My students produce huge amounts of raw and post-processed data through high-performance computing, which is not only challenging from the technical point of view but also from the data management perspective around the daily handling and long-term storage of very valuable scientific datasets. I believe that effective and efficient data management practices and responsible data sharing are very important for my research field.

PhD Researcher
Faculty of Civil Engineering and Geosciences. Department of Transport & Planning

Areas of expertise:
I've a broad data-related (processing, storing, analysing) experience. I'm well versed in Python, Deep Learning and Artificial Intelligence techniques. I also design, construct and program (in embedded C) embedded data logging devices

Contact information
Motivation

Motivation

I love open source and believe that whatever product we as scientists and individuals make, has the potential to bring about positive change.
The only certainty in this equation is that, without sharing, nothing will surely happen.

Lecturer
Faculty of Technology, Policy and Management, Department Values, Technology and Innovation

Areas of expertise
Computer science; Philosophy of science and technology; History of science and technology; Philosophy of AI; Ethics

Contact information
Motivation

I have an interest in the challenges that data management and Open Science present to current scientific and engineering research. I am particularly motivated by questions about data storage, curation and maintenance of data, reproducibility and replicability of results, and open distribution of data.