Aller au contenu

Données ouvertes

Bibliothèque

Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.

Les titres et les descriptions proviennent des sources de données, en anglais.

  • ClinicalTrials.gov sponsor pipeline velocity (agent-curated)

    ClinicalTrials.gov sponsor pipeline velocity (monthly)

    Monthly enrichment signals scoring clinical-trial pipeline momentum for 49 curated pharma / biotech / medtech sponsors (USA, Canada, Europe, Japan, Israel). Each month the keyless ClinicalTrials.gov v2 API (U.S. National Library of Medicine) is queried per sponsor for study counts (countTotal only — no study records are downloaded) with StartDate in the trailing 12 complete months vs the prior 12 months, each for all phases and for Phase 3. Per sponsor: trial-start counts per window, trailing-vs-prior velocity_pct ((cur - prev) / prev * 100; null when the prior window is empty), the Phase 3 analogue, pipeline_score = 100 * (50% min-max(log1p(starts)) + 50% min-max(velocity clipped to [-100%, +300%] mapped to [0, 1])), min-maxed within the snapshot so it is a relative, not absolute, momentum gauge, deterministic pipeline_rank (ties by sponsor name), and a momentum_flag (surging / growing / stable / declining / contracting / new_entrant / dormant). Sponsors with no starts get an explicit dormant row — the panel is join-complete. Who joins this: a pharma / biotech BD team joins trailing-12m trial-start velocity per sponsor to their licensing-target watchlist on sponsor_name_normalized + as_of; a clinical-operations team joins Phase 3 momentum on sponsor_name_normalized. Primary key: (as_of, sponsor_name_normalized); join keys: sponsor_name_normalized, sponsor_name, as_of, country_code (ISO alpha-3, curated HQ). Caveats: query.spons uses tokenized matching over the NLM-indexed sponsor / collaborator name fields, so a count can include studies where the sponsor is a collaborator; studies with no StartDate are invisible to the date filter; the registry is sponsor-submitted and backfilled, so a same-month re-ingest can shift counts slightly; pipeline_score is within-snapshot relative and not comparable across months. No study text is stored. Sample use: filter momentum_flag = 'surging' for sponsors accelerating their pipeline, or order by pipeline_rank for this month's strongest trial-start momentum.

    • clinical-trials
    • pharma
    • research
    • signals
    lignes
    49
    Qualité
    92
    Mis à jour
    28 sept. 2026
    À jour
    Licence
    Licence incertaine

Utiliser votre propre clé d’IA

Une fois l’allocation gratuite du jour épuisée, les fonctions d’IA peuvent passer par votre propre compte fournisseur.

Conservée uniquement dans cet onglet (effacée à sa fermeture) et envoyée avec chaque requête d’IA. Nos serveurs l’utilisent pour cette requête et ne la stockent ni ne la journalisent jamais.