Dataset for "The emergent structures within digital engineering work: what can we learn from dynamic DSMs of near-identical systems design projects?"

Design structure matrices (DSMs) support engineers in the management of dependencies across product and organisational architectures. This dataset contains the underlying data used to generate dynamic DSMs for the cross-project comparison of three near-identical systems design projects. The data is stored in an SQLite database and a Jupyter notebook is provided to demonstrate how to access the data.

Keywords:
Engineering Design, Project management, Product lifecycle management
Subjects:
Systems engineering

Cite this dataset as:
Gopsill, J., Snider, C., Hicks, B., 2019. Dataset for "The emergent structures within digital engineering work: what can we learn from dynamic DSMs of near-identical systems design projects?". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00621.

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Data

anon_cad_metadata.db
application/octet-stream (565kB)
Creative Commons: Attribution 4.0

SQLite3 database

Code

Data Description.ipynb
text/plain (3kB)
Software: MIT License

Jupyter notebook

Creators

James Gopsill
University of Bath

Christopher Snider
University of Bristol

Ben Hicks
University of Bristol

Contributors

University of Bath
Rights Holder

Coverage

Temporal coverage:

From 2012 to 2019

Documentation

Technical details and requirements:

The data was collected using the FolderActivityLogger node.js package created by the authors, which can be accessed from the npm Registry.

Methodology link:

Gopsill, J., 2017. FolderActivityLogger. Version 0.1.1. npm Registry. Available from: https://www.npmjs.com/package/fal.

Documentation Files

README.md
text/plain (1kB)
Creative Commons: Attribution 4.0

Funders

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

The Language of Collaborative Manufacturing
EP/K014196/2

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

RCUK Catapult Researchers in Residence (High Value Manufacturing NCC) - Valuing Digital Knowledge Assets within the High-Value Manufacturing Catapult
EP/R513556/1

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

Platform: Designing the Future: Resilient Trans-Disciplinary Design Engineers
EP/R013179/1

Publication details

Publication date: 9 December 2019
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00621

URL for this record: https://researchdata.bath.ac.uk/id/eprint/621

Related papers and books

Gopsill, J. A., Snider, C., and Hicks, B. J., 2019. The emergent structures in digital engineering work: what can we learn from dynamic DSMs of near-identical systems design projects? Design Science, 5. Available from: https://doi.org/10.1017/dsj.2019.20.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: James Gopsill

Departments:

Faculty of Engineering & Design
Mechanical Engineering