Professor Natalia Romero Herrera was one of last year’s Data Refinement Fund recipients. In this article, we learn about Natalia’s design research and how she used the funds from 4TU.ResearchData to prepare personal data from human study participants for online publication.
For her current research, which focuses on tracking and contextualizing the behaviour of obesity patients, Natalia applied for the Data Refinement Fund offered by 4TU.ResearchData. This grant enables her team to take the research a step further.
The publication of her dataset in 4TU.ResearchData ensures that other researchers can also make use of her work which further stimulates the impact of Natalia’s research.
With her project, ‘Mixed Methods for monitoring food intake – towards a new generation of ehealth prevention apps’, Natalia wants to learn more about the underlying mechanisms that cause patients with obesity to make dietary decisions. Her ultimate goal is to create technological tools that can provide dietitians and their clients with more holistic feedback on food intake.
Natalia structures her contextual observations in three categories: social, personal and situational. Relevant factors within these contexts, that may explain a person’s behaviour, could be a person’s values, beliefs, genetics, economic status, habits or external temptations. To monitor this, Natalia uses sensors, electronic surveying technologies and interviews, so that she can activate people to capture as much of these contexts as possible. Her participants provide positive insights as they engage in these activities since many are eager to get to know the deeper reasons behind their eating behaviour.
The extent to which different factors are relevant depends on the characteristics of the humans involved, thereby making the research a very personal and intriguing encounter for participants. By redesigning current dietitians’ tools that capture food intake, Natalia wants to go beyond the possible feelings of shame and discomfort that obese clients experience when using these tools, ultimately hoping to capture the true feelings and habits of her participants. This way, the activity of food intake reporting becomes part of the participant’s life, and it helps them to get adequate and customized help for their problems.
Natalia is very happy that she got the opportunity to apply for the Data Refinement Fund.
“I really believe that without the funds we would not be able to create a project of the size and the impact that it has now. We create various types of data and, especially in this project, the data itself is quite personal and sensitive. The funds enable my team to interpret every piece of data with utmost care, and without having to think too much about financial constraints. My talented student assistants, who are financed by the funds, help with the execution of the coding schemes needed to further standardize the data. Furthermore, they carefully anonymize the data to protect the privacy of study participants while at the same time ensuring that the data remains useful for other researchers. All these practices make the research data even richer!”
Openly publishing a dataset is not very common in the field of human centred technology design. For Natalia, however, publishing data has many advantages and it really opened up a new world of opportunities for her. She explains:
“The data in itself is not easy to collect so if people want to build further on my research, I am very happy to support them. Also, I believe that my data can be seen through many different lenses leading to different outcomes. Even linguists or policy-makers could use my work.”
The dataset itself is not the only thing Natalia publishes. She also attaches her codebooks, interpretations and way-of-thought.
“I publish almost everything as I really want to be as transparent as possible. Other researchers are free to use my data as they want, I will not prescribe a predefined way of looking at it. I am very curious to learn more about the impact that my published data will have.”
On a personal level, publishing the dataset actually encouraged Natalia to work even more rigorously than she already did.
“I think that publishing data makes you even more conscious about the solidity of your workflow. Openly sharing my work has definitely increased the quality and rigour of the dataset so to me it is a real win-win situation!”
Author: Daen Smits, Trainee Research Data Officer
Photo: Jan van der Heul
Cover image: Pixabay