Spotlight on: Junda Huang

Every other week, the Thematic DCCs and the Data Steward Interest Group (DSIG) put the spotlight on one research data steward working in the Netherlands, to stimulate knowledge exchange and peer-to-peer learning.

What drew you towards the research data management field?

With years of experience as a bioinformatician, I often found myself to be in the spot of waiting for data generation. While existing datasets can rarely be identified as valuable asset. I think that this situation must change in order to make scientific research efficient.

What is an activity/task of your role that you find yourself looking forward to?

Mapping research data entities into knowledge graph schema!

What is something unexpected that you can offer help with, if a colleague reaches out to you?

I am very much a wannabe software engineer, which I am very much familiar with edge-cutting programming tips and tricks.

What do you think your community of research data professionals is missing?

I think that technical data stewards are the most underrated and most lacking in our field. We often have data stewards with policies and trainings, but those should be built upon a solid infrastructure foundation. We rarely come across skilled technical data stewards in our community.

What is a topic you would want to collaborate on with others?

I would like to collaborate on high level metadata schema models for -omics datasets in biological research.

Could you point us to a resource, learning platform, tool or similar which you find useful or inspirational?

Implementing More Effective FAIR Scientific Data Management With a Lakehouse. I am very much into the technical aspect of FAIR. Thus, a nice data infrastructure combined with the realisation of FAIR.

Get in touch with Junda on LinkedIn

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