Areas of expertise

Airborne Wind Energy

Contact Information
Motivation

I have worked for many years in the field of computational fluid dynamics, where good code and data management is crucial, and where sharing of data (for example, for benchmarking different solvers) has a long tradition. In my view, data sharing is an important extension of the concept of scientific peer review, enabling peers to retrace analyses and build on them. Without having access to the original data and source code this is generally very difficult or not possible at all. In my recent work on airborne wind energy, an emerging renewable energy technology, I have also learned that the quality of the data has a large impact on its reusability. We scientists tend to focus on the things that are of highest interest at the moment when we conduct an experiment or a computational simulation. We often neglect to record or store data that is not of immediate interest but that can potentially become interesting or very important later. I have realized this, for example, when working on a project supported by the Data Refinement Fund of the 4TU Centre for Research Data. In this project we assembled the data recordings and associated photo and video footage of five years of flight testing with our pioneering 20 Kilowatt kite power system, with the objective of making this data available to the broader research community. While it was relatively straightforward to compile the original data recordings, it was a painstaking detective work and not always possible to retrace and properly identify data that was not recorded but only written down in log files, or documented by the photo and video footage. However, it was important for anyone who wants to reuse the data. A good data management strategy would have helped address these issues. But luckily we have learned from these experiences.

Proactive sharing of high quality research data is an important ingredient of an efficient networked R&D road map. Especially for emerging technologies a good management & sharing strategy can really make a difference and contribute to a rapid advancement of the research agenda. For example, data sharing can enable researchers of different research teams to cross-validate their modeling frameworks and thus more rapidly improve the quality of the models. I am convinced that industry will ultimately benefit from such high quality modeling tools. From 2015 until 2018 I have coordinated the EU Horizon 2020 doctoral training network AWESCO, with a total of 16 PhD researchers at 12 European partner institutions, and as part of this project we had to develop, step-by-step a data management and sharing strategy. Since the project included not only academic partners but also industry, the sharing aspect especially was not an easy task. But we managed and successfully concluded the project with several collaborative research streams that produced and still continue to produce important results for the commercial development teams. As a data champion I would like to share my experiences with my fellow researchers.

Areas of expertise

Air Traffic Management, Aircraft Performance, Aircraft Surveillance, Simulation, Data Science, Linux, Python, Java, PHP, Git

Contact Information
Motivation

 

Data reflects the past; science hints at the future. Just as a hidden history never leads to a brighter future, better science has to be built upon open data. This is why I am interested in contributing to our open science effort at TU Delft, especially in the areas of:

  1. Advocating the use of open-source tools and platforms
  2. Promoting efficient data management approaches
  3. Encouraging the openness of scientific data and outputs
Areas of expertise

Environmental impacts, Combustion emissions, Sustainable Aviation, Numerical modelling, Data-driven approaches.

Contact information

E-mail: I.C.Dedoussi@tudelft.nl 
Social Media: LinkedIn
ORCiD: 0000-0002-8966-9469 

Motivation

Stronger collaboration and greater efficacy of research effort are my key motivations for data management and sharing. Good data management and code version control and distribution practices are crucial elements for collaborative, open-source, and reproducible research. Such practices also increase the efficiency of a research group, help organize institutional knowledge, and make transition of work much smoother.

Areas of expertise

Git, Github, Travis CI, Coverage, Python, Cython, C++, FORTRAN

Contact Information
Motivation

I believe my experience with scientific software development would contribute to the team.

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. 

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.

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.

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
Motivation

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.

Areas of expertise

Functional genetics approaches to experimental evolution, budding yeast polarity network, documentation system centred on the use of open source tools oriented to easy customization and flexible collaboration. 

Contact Information
Motivation

In order to pursue excellence in science , we (the scientists) should be able to communicate/collaborate/work freely among us and the tools we use should not hinder that process. I am motivated to work in a way that allows others to easily collaborate with me, and viceversa.

I think this could be a way to validate my workflow with other scientists and to get to know people that strive for excellence in science, in terms of openness, transparency and collaboration.

Areas of expertise

Structural biology, cryo-EM, computational and experimental biophysics

Contact information
Motivation

As a scientist I believe it is a vital professional responsibility to establish suitable schemes for data (and code) archiving. As a method developer, I have a strong interest in Open Data and as an experimentalist I am aware of the challenges and concerns that may come with sharing data. I would like to contribute to open data policies at TU Delft to foster a culture of data sharing in my department, my research community and beyond. I believe that by actively engaging in these discussions with the TU Delft data stewards and other TU Delft researchers, I can contribute my own experience, learn from the best practices and the concerns of others and, together, translate this into workable solutions for my own community and my department.

Areas of expertise

Light and electron microscopy, Correlative microscopy, Method and instrumentation development

Contact information
Motivation

In microscopy, we generate many images that help us draw conclusions we present in papers, but that can also contain data that is interesting for others, including researchers that do not have access to the high end machines we use. Often, a user-selected snapshot makes it into the paper while the context of the full datasets is lost. Making these full datasets publicly available can thus accelerate science, as they can be used by a wider group of scientists including those in places or countries where equipment is not available. Also, open data can be very useful for educational purposes, I am also using online biomedical data that we cannot generate here in Delft in one of my courses. I would like to share experiences with others and see what we can learn from each other. We are generating very big datasets that present a lot of challenges for making it publicly available, both in size, but also, e.g. metadata. Others can learn from what we are doing, and I would like to learn from the approaches others have been taking. I would also like to discuss questions like what data (raw, annotated, analyzed) should be made public? How should one be credited if someone else uses the data?I would also like to discuss examples of how we use open data in our lectures and assignments for students.

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. 

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.

Read my story
Areas of expertise

Research Methods in Social Sciences

Contact information
Motivation

I am a keen advocate of open science, and having good data management practices (so that data is easily searchable, and is available in formats that do not require the use of proprietary tools) is an important aspect of open science.

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

Area of expertise

Bioinformatics, Genomics, Systems Biology

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. 

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Areas of expertise

Software development, Deploying and maintaining cloud software, Version control systems.

Contact information

E-mail: J.B.Weston@tudelft.nl
Social Media: LinkedIn

Motivation

I am a keen advocate of open science, and having good data management practices (so that data is easily searchable, and is available in formats that do not require the use of proprietary tools) is an important aspect of open science. 

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.

Areas of expertise

As a Bioinformatics technician I am involved in sequencing (illumina, Oxford Nanopore) projects. Expertise in De Novo assembly, sequencing pipelines, unix/linux bash scripting and Python. 

Contact information
Motivation

Sequencing genomes generates a lot of data and after processing and analysing you end up with even more data. Managing and sharing is an important part of doing research. 

Areas of experise

Lab experience, with a good feeling for what may and what may not work in a lab environment. 

Contact information

E-mail: m.bus@tudelft.nl 
Tel: 0152784340
ORCiD: 0000-0003-4348-4538 

Motivation

I am mostly interested in the inevitable digitalisation of research, which most likely includes the use of ELN's. I like to discuss new developments

Areas of expertise

Architecture, computational design, robotics, robotic building

Contact information
Motivation

In the field of computational design and robotics in architecture, good code and data management are crucial and sharing of data for advancing ideas is necessary. Data sharing is also an important tool for scientific peer review, enabling peers to retrace analyses and eventually build on them. Without having access to the original data and source code this is generally very difficult or not possible. Furthermore, the quality of the data has a big impact on reusability. Assembling data recordings and associated photos and videos of the design to robotic production system, with the objective of making this data available to the broader research community is main motivation for data management and sharing.

Proactive sharing of high-quality research data is an important aspect of a networked R&D approach. Especially for emerging technologies, a good management and sharing strategy can really make a difference and contribute to a rapid advancement of the research. For example, data sharing can enable researchers of different research teams to cross-validate their modeling frameworks and thus more rapidly improve the quality of the models. The industry will also benefit from high-quality models. As a data champion I would like to share my experiences with fellow researchers and potential R&D contributors.

Areas of expertise

Heritage and architecture

Contact information

E-mail: m.foroughi@tudeft.nl
Social media: LinkedIn

Areas of expertise

Energy Potential Mapping, spatial energy transition studies, urban energy data, open geodata, applying common sense

Contact information

Email: M.A.Fremouw@tudelft.nl
Social media: LinkedIn

Motivation

Where the urban energy transition is concerned, both the availability, quality and ownership of supporting (geo)data vary wildly across Europe and the world. My interests are in finding the right balance between security, safety and privacy on the one side, and usability and transparency on the other. There are a few basic tenets that apply to everything related to data, I can provide some common sense in figuring out workable solutions and practices.

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. 

Read my story
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.

Read my story
Areas of expertise

Reservoir simulation, Multi-dimentional data analysis, Python programming, Gitlab

Contact information

Email: a.daniilidis@tudelft.nl  
Social media: LinkedIn 
Orcid: 0000-0002-9063-4714

Motivation

Structured research data can provide higher order insights to ongoing research. It further helps transparency and replicability. Continuity is also important, as being able to look back at existing data from a different (future) perspective can also lead to new discoveries.

Areas of expertise

Land-atmosphere interactions. Global hydrological modelling. Extreme rainfall.

Contact information
Motivation

I would like to be an ambassador of the FAIR practices of data management. I would like to be the bridge between the researchers in my department and the faculty data steward.

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.

Areas of expertise

In my current research I'm building tools for hydrologist to make the entire workflow for hydrological modellers "FAIR". I work closely with research software engineers from the eScience center in the eWaterCycle project in which I am the PI. Their expertise on big data, data handling, FAIR, Open Access, etc. is invaluable for our project and it would be a waste of time / effort if colleagues within civil engineering would have to re-invent the wheel regarding things we have already build / used / experience with. 

Contact information
Motivation

In my current research I'm building tools for hydrologist to make the entire workflow for hydrological modellers "FAIR". I work closely with research software engineers from the eScience center in the eWaterCycle project in which I am the PI. Their expertise on big data, data handling, FAIR, Open Access, etc. is invaluable for our project and it would be a waste of time / effort if colleagues within civil engineering would have to re-invent the wheel regarding things we have already build / used / experience with.

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

E-mail: p.vangent@tudelft.nl
Social media: LinkedInWeblog
ORCiD: 0000-0002-8590-9533

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.

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. 

Areas of expertise

Cloud computing, virtualization, Docker container, Kubernetes orchestrator, storage management, big-data & small-medium size databases, UML design, scientific workflow applications.

Contact information
Motivation

Cloud computing, virtualization, Docker container, Kubernetes orchestrator, storage management, big-data & small-medium size databases, UML design, scientific workflow applications.

Being a strong believer in the benefits of data sharing and democratization of computational resources, I strive on a day-to-day bases to make raw and processed data more accessible by community and productively exchangeable with other research institutions.

Becoming a data champion provides an opportunity to expand my professional network on the national and international levels to learn from other data scientists and researchers with different backgrounds and exchange our experiences for finding the best solutions for different data management challenges.

Areas of expertise

hydrodynamics, computational and environmental fluid dynamics, hydraulic engineering. Tributaries: physics, maths, computer science, knowledge management

Contact information
Motivation

In my research project I ingest considerable volumes of information coming from diverse disciplines, combine them, and produce huge amounts of simulation data using high-performance computing devices.

In managing these data and information I do affirm that questions of velocity, volume, veracity, voracity are hugely relevant at individual level well before talking of big data proper.

Knowledge management has always been important for personal development. Nowadays this has also become vital to weather the challenges of the working and social environments.

As a data champion at the Delft University of Technology I am always ready to engage in conversations and debates, and exchange stories of failures and successes together with my colleagues.

Areas of expertise

Reinforcement learning, Multiagent planning problems, Abstraction in Markov decision processes  

Contact information
Motivation

My daily job involves generating, storing and using data. I am interested in sharing common issues arising when dealing with data and hear from people from different context how they deal with that. I am particularly interested in discussing with people coming from different research areas the experiment and results reproducibility. This is indeed a daily issue in my job.

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.

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.

Areas of expertise

Electrical engineering, Stochastic optimization 

Contact information
Motivation

Develop data management policy for my department.

Areas of expertise

Designing, engineering and prototyping Open Source Hardware, mainly in electronics and plastic recycling.

Contact information

Social Media: LinkedIn
Website: https://jerrydevos.com/
Email: info@jerrydevos.com

Motivation

Together with Jose I started the Delft Open Hardware initiative. I help people to make their project open source and connect people with organizers of Open Source Hardware projects. I offer talks about the importance of Open Source Hardware and share the importance of data sharing within the IDE faculty.

Areas of expertise

Data-centric Design. Personal Internet of Things Data. Participatory analysis and design. Supportive and user-centred system 

Contact information
Motivation

Being a data champion would give me access to the network of like-minded people to gain and share experience on how to support other about data management and sharing as well as opportunities to write together grant proposal on the topic. 

Areas of expertise

Service design, Design for Healthcare

Contact information
Motivation

I would love to avoid other researchers all of the pain I went through to setup custom data management plans!

Areas of expertise

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

E-mail: n.a.romero@tudelft.nl
Social Media: StudioLab
ORCiD: 0000-0002-8583-6231

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.

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José Carlos Urra Llanusa

Faculty of Industrial Design Engineering
Areas of expertise

I am an industrial and interaction designer with engineering and programming skills. I have worked for 4 years in medical design, I have worked also as UX design and developer in open hardware projects. I have been a mentor for the mozilla open leaders program for two rounds, and collaborated also for the Open Source Ecology project. I would say that my core area of expertise today is open source design.

Contact information

Email: J.C.UrraLlanusa@tudelft.nl
Social Media: LinkedIn

Motivation

I am fascinated by the world of open source in general, we can learn a lot about the history of the internet and open source. Even though our economies run on open source infrastructures we are not aware of it. It is important to address the importance and success of these inventions and technological developments. Students and academics can benefit a lot from understanding and putting in practice peer to peer and open source, but it is important to introduce these concepts bit by bit in order to be effective and compelling.

Read my story
Areas of expertise

Social and technological complexity, collective action, community formation, archaeology, anthropology.

Contact information
Motivation

I like to build and explore multi-temporal data about long-term human complex systems. These datasets should be managed and stored systematically in order to provide a source of information for long-term decisions of present and future societies.

I would like to learn how others use and manage their own data and how they engage with challenges of collecting, storing and sharing data. I would also like to share my insights about how to work with multi-temporal data and human participant information. Finally, I hope to create more links inside and outside of the TU Delft data management network.

Areas of expertise

Computational solid mechanics • modeling • enriched finite element methods • phononic crystals • acoustic metamaterials • topology optimization • contact mechanics • fracture mechanics • massively parallel scientific computing.

Contact information

Email: a.m.aragon@tudelft.nl
Social media:  LinkedIn 
ORCiD: 0000-0003-2275-6207

Motivation

I believe the output of research, comprised of articles and the data needed to create them, should not be kept behind paywalls. This is particularly true for research funded by tax payers. There have been remarkable advances towards open science to make available data that has not yet received the spotlight.

Areas of expertise

Crowdsourcing, outsourcing, sharing data at public repositories, git, Python, MATLAB, javascript for online-based research. 

Contact information

Email: p.bazilinskyy@tudelft.nl 
Social Media: LinkedIn
ORCiD: 0000-0001-9565-8240 

Motivation

TU Delft is doing a good job in the area of opening up science to the public and the rest of the scientific world. I would like to help to progress even further.

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Areas of expertise

Numerical linear algebra, Tensor methods, High-dimensional problems, System identification, Signal processing and Machine learning.

Contact information
Motivation

I am a strong believer in making results that are funded by tax payers' money public and open. I also think that science can progress faster if newly developed methods/ideas can be used freely and are available to everyone.  It is my belief that data management and sharing are basic skills that every student and staff member at TUDelft should master. Reproducibility of results is for me the minimal requirement when developing methods/algorithms/tools. I hope to be able to convince more people of this vision.

My short-term goal is to convince all staff members in my department to actively use data management and sharing tools. This involves the setup of a repository space for our department. Long-term goal is to be able to organize a compulsory course for students on data management and sharing.

Areas of expertise

Systems and Control, Optimization, Game Theory

Contact information

E-mail: s.grammatico@tudelft.nl
Social media: Twitter
ORCiD: 0000-0002-6021-2350

Motivation

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

Areas of expertise

Design and optimization of materials and processes using state-of-the-art molecular simulation techniques.

Contact information
Motivation

As I always seek for better data management methods, meeting and working with other data champions will greatly strengthen my efforts. 

Areas of expertise

Ab initio based study of coherent microstructure, Phase stability, Phase boundary, Precipitation kinetics, Hydrogen embrittlement 

Contact information

E-mail: P.Dey@tudelft.nl
Social media: LinkedIn

Motivation

This will provide me the opportunity to not only share my experiences but also learn from other Data Champions about other efficient ways of managing data. I will share the insights gained from such an exchange of ideas with my department members, which will be gainful for them. Furthermore, I am hopeful that my involvement in the Data Champion program will strengthen the connection between my department and the Data Management team of the University. 

Areas of expertise

Electrical engineering, Nanotechnology, Materials Science 

Contact information
Motivation

To promote a better data usage within the faculty; e.g. the creation of databases for sharing equipment, consumables, journal licenses, material data and images. 

Areas of expertise

Human-subject research, automated driving, applied statistics

Contact information
Motivation

I already do quite a bit of data sharing via data.4tu, and would like to extend this.
I want to make others in the faculty aware of data sharing, transparency, and replicability.

Read my story
Areas of expertise

Travel behaviour, time-use modelling, choice behaviour modelling and automated vehicles

Contact information

Email: B.Pudane@tudelft.nl 
Social Media: LinkedIn
ORCiD: 0000-0001-7330-2817

Motivation

I would like to commit myself to publish the data I gather in my work and I expect that the meetings with other data champions will allow me to be more efficient in that. Along the way, I will be happy to share my experience with my colleagues and perhaps inspire them to join the movement.

Areas of expertise

Data analysis, modelling, simulation

Contact information
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.

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.

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. 

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.

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Areas of expertise

Data collection, Data processing, Machine Learning, Data Visualization, Social Network Analysis 

Contact information
Motivation

Briefly speaking, I would like to become a data champion to help other researchers and myself. I'm keenly interested in sharing my knowledge and experience about various aspects of working with data. I also like to improve my knowledge in this area by joining a network of experts people in data management.

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.

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.  

Ready my story
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. 

Elena Zhebel

Research Software Engineer
Faculty of 3mE
Department of Precision and Microsystems Engineering (PME)
Areas of expertise

Scientific programming from development to production.
Programming languages C/C++, Fortran, Python, Pascal, CUDA, Matlab.
User of git (and GitLabs, GitHub), doxygen, PyCharm IDE and profiling tools.
Parallel programming, such as MPI, OpenMP, CUDA on GPUs.

Contact information

E-mail: e.v.zhebel@tudelft.nl 
Social Media: LinkedIn

Motivation

There is no cookbook on how to manage your software, your data, your research and how to make sure others can build on top of your work. Therefore I believe that sharing my experiences and learning from each other is very valuable and it is a first step of building up the knowledge and the community.