Data Champions at the faculty of Applied Sciences

Assistant Professor
Faculty of Applied Sciences. Department Bionanoscience

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. 

Technician Bioinformatics
Faculty of Applied Sciences. Department Industrial Microbiology

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. 

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.

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. 

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.

Technician
Faculty of Applied Sciences
Department: Chemical Engineering

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

Associate Professor
Faculty of Applied Sciences
Department: Imaging Physics

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.

Assistant 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. 

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 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

Scientific Software Developer
Faculty of Applied Sciences
Quantum technology

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. 

PhD Candidate
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.