With open science gaining traction, do we need an Australasia PubMed Central (PMC)? A qualitative investigation
Bibliographic record
Abstract
Open biomedical repositories, such as PubMed Central (PMC), are a means to make research discoverable and permanently accessible. Assessing the potential interest of key stakeholders in an Australasia PubMed Central was the objective of this research. The investigation is novel, assisting in the development of open science infrastructure through its systematic analysis of the potential interest in, and viability of a biomedical repository for managing openly accessible research outputs for the Australasia region. The research adopted a qualitative approach based on semi-structured interviews and a focus group. Forty-four stakeholders located throughout Australia and New Zealand participated in the research. Participants expanded upon their experience of PubMed, MEDLINE, PMC and their use of information resources for research and clinical practice. The Evidence Based Healthcare (EBHC) pyramid was the theoretical model adopted to explain open biomedical repository processes. A strengths, weaknesses, opportunities and threats (SWOT) analysis identified support for exploring membership of an international PMC system, in particular Europe PMC. Lessons learnt from PMC US, Europe PMC and PMC Canada (collectively known as PubMed Central International) informed the investigation. A major strength identified was that PubMed Central International has been able to achieve high levels of compliance way beyond that of most institutional repositories. A great threat faced is overcoming the difficulties of working together with other major world bodies and financially sustaining an Australasia PMC. Improving Australasian biomedical knowledge management processes may be possible from adopting a PMC for retrieving and transferring research, linked to the data underlying the research. This in turn could help put regional research under a brighter spotlight, potentially leading to improvements in research quality. There is an opportunity for a potential Australasia PMC to harvest biomedical research from the National Library of Australia's aggregator database, Trove and work closely with Europe PMC to avoid duplication of effort. Overall, establishment of an Australasia permanent biomedical digital open repository is perceived as important, with significant potential flow-on benefits to healthcare, industry and society.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.070 | 0.112 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".