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

621 44 10458 4 31305 document 10458 Data Description.ipynb text/plain 2d52b840e5d72dafa202168638925e31 MD5 3821 2019-03-15 10:10:43 https://researchdata.bath.ac.uk/621/2/Data%20Description.ipynb 621 2 2 text/plain other Jupyter notebook en public cc_mit

Data Description.ipynb

code 10459 4 31307 document 10459 anon_cad_metadata.db application/octet-stream 1826a4eeed887e14d4b906ff46a3be5f MD5 565248 2019-03-15 10:10:46 https://researchdata.bath.ac.uk/621/3/anon_cad_metadata.db 621 3 3 application/octet-stream other SQLite3 database en public cc_by

anon_cad_metadata.db

data 10460 2 31312 document 10460 README.md text/plain 91817b213943cbce6efbe962b69a09a2 MD5 1076 2019-03-15 10:18:41 https://researchdata.bath.ac.uk/621/4/README.md 621 4 4 text/plain other en public cc_by

README.md

documentation archive 1660 disk0/00/00/06/21 2022-10-12 12:12:23 2024-07-15 10:59:02 2022-10-12 12:12:23 data_collection show Gopsill James J.A.Gopsill@bath.ac.uk 0000-0003-2125-0466 University of Bath TRUE Snider Christopher C.M.Snider@bath.ac.uk 0000-0003-2692-110X University of Bristol FALSE Hicks Ben Ben.Hicks@bristol.ac.uk 0000-0001-8294-4694 University of Bristol FALSE Dataset for "The emergent structures within digital engineering work: what can we learn from dynamic DSMs of near-identical systems design projects?" KJ0040 dept_mech_eng Engineering Design, Project management, Product lifecycle management 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. 2019-12-09 University of Bath public RightsHolder University of Bath Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/K014196/2 The Language of Collaborative Manufacturing Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/R513556/1 RCUK Catapult Researchers in Residence (High Value Manufacturing NCC) - Valuing Digital Knowledge Assets within the High-Value Manufacturing Catapult Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/R013179/1 Platform: Designing the Future: Resilient Trans-Disciplinary Design Engineers The data was collected using the FolderActivityLogger node.js package created by the authors, which can be accessed from the npm Registry. https://www.npmjs.com/package/fal 2012 2019 en 1 10.15125/BATH-00621 https://doi.org/10.1017/dsj.2019.20 pub open