Data connection: www.datamanager.blogspot.com. A clinical research professionals and data manager network
Bibliographic record
Abstract
Background. To minimize, mediate, and operate between clinical research professionals (CRPs) and data managers (DMs positioned around the world and international registries such as the CIBMTR (Center for International Blood and Marrow Transplant Research), a CRP and DM network was founded in cooperation with the CIBMTR. The aim of the network is to ensure that individual BMT centers’ standard operating procedures (SOP) meet the registries’ criteria in relation to documentation, data collection, and fulfillment of international requirements. To fulfill this aim, a website was launched in September 2003 including the following internal websites: “Data Connection,” “News and Information,” “Question and Answers,” “Mentors,” and “Helping Hand Guide to Data Managers” and links to external websites. These websites all address core information and communication between CRP/DMs and the CIBMTR in relation to filling out different forms, but do not address the aspects of the CRP and DM work that cross between the different registries and institutions. The aim of this study was to determine how we can help CRPs and DMs organize the daily work. Methods. Gather information and experiences from CRPs and DMs on how to solve these tasks and publish it on internal websites so others can benefit from their experience. Results. Because CRPs and DMs face audits from different registries, an audit website has been launched with experiences, tips, and ideas that might be beneficial when challenged with an audit. The internal website “Organizing the Work” conveys tips and ideas on how to organize the daily work, gather the information and source documentation required to meet the different registries as well as each institution’s SOP. The aim of the “Meeting” website is to inform CRPs and DMs on upcoming meetings and important events. “Notice Board” is a website that gives CRPs and DMs an opportunity to place a notice or request. Conclusions. The mentoring network is a new form of IT-based cooperation and communication between CRPs, DMs, and the CIBMTR. The aim of the network and Web site is to convey news and information to provide a useful reference tool for CRPs and DMs in their daily work and to provide CRPs and DMs with a sense of belonging by filling the gap between the single BMT unit and the national/international registry. To achieve this aim, the network continues to need the support and the cooperation from CRPs, DMs, and the CIBMTR.
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.
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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.741 | 0.665 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".