Genomic data scienceGenomic datasetsData scarcityData driven genomic computingWe highlight several challenges which are faced by data scientists who use public datasets for solving biological and clinical problems. In spite of the large efforts in building such public datasets, they are dispersed over ...
Data science is about finding useful insights and putting them to use. Data science, however, doesn’t occur in a vacuum. When pursuing their analytics goals, data professionals can be confronted by different types of challenges that hinder their progress. This post examines what types of challen...
We have listed down the issues that the existing and future data professionals are likely to face based on the experience and perspectives of those managing things in the data science field. First, let us have a look at major challenges that the data scientists deal with or aspiring data ...
in some cases using data collected for a different purpose. In building and maintaining these datasets, project leaders will need to make decisions about the data. While such decisions are often construed as technical, there are several normative concerns, such as who should have...
We also discuss the challenges that they face and the best practices they share with other data scientists. Our study finds several trends about data scientists in the software engineering context at Microsoft, and should inform managers on how to leverage data science capability effectively ...
Science (2004)View more references Cited by (6) Data-driven genomics: A triad of big data, cloud, and IoT in genomics research 2024, Deep Learning in Genetics and Genomics: Volume 1: Foundations and Introductory Applications Show abstract Smart breeding driven by big data, artificial intelligence...
Data science systems (DSSs) are a fundamental tool in many areas of research and are now being developed by people with a myriad of backgrounds. This is coupled with a crisis in the reproducibility of such DSSs, despite the wide availability of powerful
et al. Eleven grand challenges in single-cell data science. Genome Biol. 21, 31 (2020). Article PubMed PubMed Central Google Scholar Jiang, R., Sun, T., Song, D. & Li, J. J. Statistics or biology: the zero-inflation controversy about scRNA-seq data. Genome Biol. 23, 31 (2022...
Data science challenges in real estate asset and capital markets for DSMM 2014 by Douglas Burdick et al.
In this talk, I will present my views on the challenges facing iSchools in Big Data and Data Science and then opportunities iSchools can contribute to those areas. Every challenge is an opportunity, and iSchools can play a significant role in the data-driven society....