Jildau Bouwman

Research area

Jildau Bouwman joined TNO in 2008 and works within the systems biology team. The goal of her work is to improve public and personal health and use digital solutions where relevant. She focusses on omics data interpretation (transcriptomics and metabolomics), data analysis (including AI) and data management. This requires data from the whole system (omics data) and from multiple sources (wearables, human studies and hospital data) and AI that is explainable. Her vision is that for the reuse of data a rich set of meta data is crucial. She is one of the driving forces behind the development of the Phenotype database, as system developed to store and reuse nutritional (meta)data. In addition, she is one developers of the FAIR principles.

Jildau Bouwman is internationally recognized as an expert in the area of personal health data for prevention and nutrition. She is involved in NL-AIC (she is part of the MT of the working group ‘healthcare’), co-lead of the team personal health data of the innovation center Lifestyle4Health, one of the founding persons of e-CMC, involved in Health-RI from the angle of reuse of data for prevention and is co-lead of the food&nutrition community in ELIXIR.

Projects

Jildau led the public-private partnership C4Yourself (Sept 2021- March 2023), funded by Health Holland. This project realized an ecosystem that enables a centralized overview and real control of a citizens’ own personal (health) data using the Personal Health environment (PGO in Dutch) and had (long)COVID als use case. They showed that Long/Post COVID patients are willing to make their data reusable via a platform as developed in C4yourself. A guided informed consent flow was developed that can be reused in other projects and showed that PGOs in principle can be used a personal data locker, also for reuse of data.

In addition, she coordinated the European project Intestinal Microbiomics (INTIMIC) Knowledge Platform (KP) of the Joint Programming Initiative (JPI) 'A Healthy Diet for a Healthy Life' (HDHL) (Oct 2019-May 2022). The main objective of the INTIMIC Knowledge Platform was to foster studies on the microbiota, nutrition and health by assembling available knowledge of the microbiota and the other aspects (e.g. food science and metabolomics) that are relevant in the context of microbiome research. The goal is to make this information findable, accessible, interoperable and reusable (FAIR) to the scientific community, and to share information with the various stakeholders.

• Leader Food and nutrition community ELIXIR (March 2022- Now)
• Coordinator of the JPI HDHL project INTIMIC knowledge platform
• Work package leader pilot for health care: EASME project: Big Data and B2B platforms: the next big opportunity for Europe (2018- end 2020)
• Principle Investigator Connect2healthconsumer (starting Feb 2020), funded by Health Holland
• Coordinator of the JPI HDHL project ENPADASI (2014-2017)

Recent podcasts

https://lifestyle4health.nl/algemeen/podcast-12-gebruik-van-gezondheidsdata-voor-preventie-en-gezondheidswinst/ (in Dutch)

Top publications

1. Schultes E, Roos M, Bonino da Silva Santos LO, Guizzardi G, Bouwman J, Hankemeier T, Baak A, Mons B. FAIR Digital Twins for Data-Intensive Research. Front Big Data. 2022 May 11;5:883341. doi: 10.3389/fdata.2022.883341. PMID: 35647536; PMCID: PMC9130601
2. Agamennone V, Abuja PM, Basic M, De Angelis M, Gessner A, Keijser B, Larsen M, Pinart M, Nimptsch K, Pujos-Guillot E, Schlicht K, Sharon I, Untersmayr E, Laudes M, Pischon T, Bouwman J,. HDHL-INTIMIC: A European Knowledge Platform on Food, Diet, Intestinal Microbiomics, and Human Health. Nutrients. 2022 Apr 29;14(9):1881. doi: 10.3390/nu14091881. PMID: 35565847; PMCID: PMC9100002
3. Kim Y, Kim Y, Hwang J, van den Broek TJ, Oh B, Kim JY, Wopereis S, Bouwman J, Kwon O. A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data. Antioxidants (Basel). 2021 Jul 16;10(7):1132. doi: 10.3390/antiox10071132. PMID: 34356365 Free PMC article.
4. Matualatupauw JC, O'Grada C, Hughes MF, Roche HM, Afman LA, Bouwman J., Integrated Analys of High-Fat Challenge-Induced Changes in Blood Cell Whole-Genome Gene Expression. Mol Nutr Food Res. 2019 Oct;63(20):e1900101. doi: 10.1002/mnfr.201900101. Epub 2019 Sep 30. PMID: 31565847
5. Wilkinson MD, Dumontier M, Jan Aalbersberg I, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJG, Groth P, Goble C, Grethe JS, Heringa J, Hoen PAC', Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone SA, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Jan Velterop, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B. Addendum: The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2019 Mar 19;6(1):6. doi: 10.1038/s41597-019-0009-6. No abstract available. PMID: 30890711