Index Terms
- The science of managing data science
Recommendations
ExDRa: Exploratory Data Science on Federated Raw Data
SIGMOD '21: Proceedings of the 2021 International Conference on Management of DataData science workflows are largely exploratory, dealing with under-specified objectives, open-ended problems, and unknown business value. Therefore, little investment is made in systematic acquisition, integration, and pre-processing of data. This lack ...
Agile development in computer science education: practices and prognosis
SIGCSE '05: Proceedings of the 36th SIGCSE technical symposium on Computer science educationAgile approaches to software development share a particular set of values [2,4]:
- Individuals and interactions over processes and tools.
- Working software over comprehensive documentation.
- Customer collaboration over contract negotiation.
- Responding to ...
Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsThe work involved in gathering, wrangling, cleaning, and otherwise preparing data for analysis is often the most time consuming and tedious aspect of data work. Although many studies describe data preparation within the context of data science workflows,...
Comments