Data Champions at the faculty of Civil Engineering and Geosciences

Lora Armstrong

Data manager
Civil Engineering & Geosciences
Department: Geoscience & Engineering
Areas of expertise

Research data management, R & RStudio, version control with Git/Github

Contact information
Motivation

Enabling researchers to carry out reproducible research, improving data workflows and management during research, promoting open science

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

E-mail: R.J.vanderEnt@tudelft.nl
Tel: +31 15 27 88327
Social Media: LinkedIn

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

Email: R.W.Hut@tudelft.nl
Tel: +31 15 2784909
ORCiD: 0000-0002-5697-5697
Social Media: Twitter

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.