ZÁSADY zajištení FAIRové správy a využitelnosti dat
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
A comprehensive set of Guidelines to FAIRify data management and make data reusable is focusing on the topic of common policies. This compact guide offers twenty guidelines to align the efforts of data producers, data archivists and data users in humanities and social sciences to make research data as reusable as possible based upon the FAIR Principles. Each guideline has recommendations for both researchers and archives as it is recognised that different priorities may apply to each case. The guidelines result from the work of over fifty PARTHENOS, ARIADNEplus and SEADDA project members. They were responsible for investigating commonalities in the implementation of policies and strategies for research data management and used results from desk research, questionnaires and interviews with selected experts to gather around one hundred current data management policies (including guides for preferred formats, data review policies and best practices, both formal as well as tacit). Other versions of the guidelines are available in the following languages: <em><strong>English</strong></em>: "PARTHENOS Guidelines to FAIRify data management and make data reusable" (https://doi.org/10.5281/zenodo.3368858) <strong><em>French</em></strong><em>:</em><strong> </strong>"PARTHENOS Recommandations pour FAIRiser vos données" (https://doi.org/10.5281/zenodo.3463521) <em><strong>German</strong>:</em><strong> </strong>"PARTHENOS Leitfaden zur "FAIRifizierung" des Datenmanagements und der Ermöglichung der Nachnutzung von Daten" (https://doi.org/10.5281/zenodo.3363078) <strong><em>Greek:</em></strong> "PARTHENOS Οδηγίες για την εφαρμογή των αρχών FAIR στη διαχείριση και επανάχρηση δεδομένων" (https://doi.org/10.5281/zenodo.3363386) <strong><em>Hungarian:</em></strong> "PARTHENOS A tudományos adatok újrafelhasználhatóságának és FAIR kezelésének irányelveii" (https://doi.org/10.5281/zenodo.3363355) <strong><em>Italian:</em></strong> "PARTHENOS Linee guida per l’applicazione dei principi FAIR alla gestione e al riuso dei dati" (https://doi.org/10.5281/zenodo.3363243) <strong><em>Turkish</em></strong>: "Veri Yönetimi ve verinin yeniden kullanımı için FAIR Prensipleri Rehberi" (https://doi.org/10.5281/zenodo.3937149) <em><strong>Portuguese</strong></em>: "Diretrizes para aplicação dos princípios FAIR à gestão e reutilização de dados" (https://doi.org/10.5281/zenodo.3937183) <pre> </pre>
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.060 |
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