Research Data Leeds Repository

Citation

Ruddle, Roy and Cheshire, James and Fernstad, Sara Johansson (2024) A Practical Guide to Characterising Data and Investigating Data Quality. University of Leeds. [Dataset] https://doi.org/10.5518/1481

Dataset description

This guide is designed for data scientists to use in their day-to-day work, and describes a comprehensive list of tasks to perform when investigating data quality and profiling data, and a six-step recommended workflow. Each of the 62 tasks is articulated as a question (and sometimes several questions) to answer about your data. The guide also provides pointers to a Python package (vizdataquality) that implements the workflow, a film about visualizing data quality and other useful resources.

Subjects:	I000 - Computer sciences
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	06 Feb 2024 14:23
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1235
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Ruddle, Roy https://orcid.org/0000-0001-8662-8103 University of Leeds https://ror.org/024mrxd33 ror Cheshire, James https://orcid.org/0000-0003-4552-5989 University College London https://ror.org/02jx3x895 ror Fernstad, Sara Johansson https://orcid.org/0000-0003-4518-5144 Newcastle University https://ror.org/01kj2bm70 ror Type of data: Dataset Research funders: Alan Turing Institute Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: r.a.ruddle@leeds.ac.uk Last Modified: 24 Jul 2024 14:16

Files

Documentation

A Practical Guide to Characterising Data and Investigating Data Quality [876kB] A Practical Guide to Characterising Data and Investigating Data Quality [876kB] A Practical Guide to Characterising Data and Investigating Data Quality [876kB] Security: Anyone File name: A_practical_guide_to_data_quality_and_data_profiling.pdf Content type: Documentation Description: A comprehensive list of tasks to perform when investigating data quality and profiling data, and a six-step recommended workflow Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 876kB

Checklists for data quality and data profiling [32kB] Checklists for data quality and data profiling [32kB] Checklists for data quality and data profiling [32kB] Security: Anyone File name: Checklists_for_data_quality_and_data_profiling.xlsx Content type: Documentation Description: A checklist of tasks to perform in a six-step workflow to rigorously investigate data quality and profiling data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 32kB