Data storage and DNA banking for biomedical research: informed consent, confidentiality, quality issues, ownership, return of benefits. A professional perspective
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
The purpose of this paper is to formulate a professional and scientific view on the social, ethical, and legal issues that impact on data storage and DNA banking practices for biomedical research in Europe. Many aspects have been considered, such as the requirements for data storage and DNA banking in the public and private sectors in Europe and the issues relating to DNA banking, that is to say the consent requirements for the banking and further uses of DNA samples, their control and ownership, and the return of benefit derived from DNA exploitation to the community. The methods comprise primarily the review of the existing professional guidelines, legal frameworks and other documents related to the data storage and DNA banking practices in public and private sectors in Europe. Then, the issues related to DNA banking were examined during an international workshop organized by the European Society of Human Genetics Public and Professional Policy Committee in Paris, France, 07-08, April, 2000. A total of 50 experts from 12 European countries attended this workshop. It came out that DNA banking for medical and research purposes is indispensable. It facilitates the constitution of large collections, sharing of samples, multiple testing on the same samples, and repeating testing over the years. However, banking organization is complex, requires multiple actors, and concerns are expressed in various countries. International standardization of ethical requirements and policies with regard to DNA banking has been recommended. Such standardization would facilitate a greater protection of individuals as well as future international cooperation in biomedical research.
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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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