Data Champions at the faculty of Civil Engineering and Geosciences

Postdoctoral 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.

Assistant Professor
Faculty of Civil Engineering and Geosciences. Department: Water management

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.

Assistant Professor
Faculty of Civil Engineering and Geosciences
Department: Water Resources Management

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.

 

 

Full 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. 

Postdoctoral Researcher
Faculty of Civil Engineering and Geosciences
Department: Geoscience & Engineering

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.

Associate 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.

PhD Candidate
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.