Recently I am working on projects that deal with datasets directly. What I found is that there is so little research on data such as data annotation, though there is a lot of work on semi-supervised learning, and more recently, self-supervised learning. In my opinion, the research community will gradually move from a model-centered research to data-centered research. I wrote an article to discuss this on Towards Data Science. I'd really like to hear you guys' opinions

The dismal science is getting a data boost through a research partnership between a global bank and the U.K.'s national center for data science. The Alan Turing Institute and London-based HSBC Holdings (NYSE: HSBC) said they are launching the multimillion-pound data science research effort to better "understand changes in the U.K. economy." Launched last year, the Turing Institute brings together researchers from top British universities focusing on mathematics, computer science, artificial intelligence and machine learning. The goal of the economics data research, the partners said, is to "catalyze research into'big data' and algorithms." Also participating in the economic data initiative is the U.K. Engineering and Physical Sciences Research Council.