Workflow-Based Construction Research Data Management and Dissemination
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sharing research data is necessary for collaboration within a research network and is required by funding agencies, such as the National Science Foundation (NSF), that enforce the scientific method and ethics associated with data management and sharing. However, methods and infrastructure for supporting construction research data management are currently underdeveloped; emphasizing the need for developing effective and efficient means for managing and sharing research data. A review of existing data management models reveals that there is currently no effective universal system for sharing the data obtained from construction research endeavours. This paper presents electronic product and process management systems (EPPMS) as a construction research data management and sharing approach. The developed EPPMS is a web-based system that utilizes workflows that can automate the collection, authorization, and dissemination of construction research data. A comparative analysis of the developed system to the existing web-based cloud and web-based share point systems indicates that an EPPMS offers a more fitting solution for construction research data management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it