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iCIDM · Self-Observation Dashboard v0.1

Who am I?
What do I know?
Where should I go?

iCIDM now uses its own publication population, relationships and journeys to observe itself. This is a descriptive dashboard, not an autonomous institutional decision-maker.

Boundary: the dashboard can summarize the current corpus and expose gaps. Scientific priorities and institutional decisions still require human review, evidence and governance.
1 · Who am I?
iCIDMdigital/intelligence/interface identity
2,231publication objects
1995–2026observed corpus period
504journals represented
2 · What do I know?
Themes
Clinical microbiology / infectious diseases 657 · 29.5%
COVID-19 / respiratory viruses 194 · 8.7%
Diagnostics / laboratory methods 136 · 6.1%
Clinical infectious diseases 128 · 5.8%
Medical mycology 112 · 5.0%
Antimicrobial resistance 81 · 3.6%
Public health / epidemiology 70 · 3.1%
Genomics / bioinformatics 61 · 2.7%
Technologies
Culture / phenotypic methods 451 · 20.3%
Clinical trial / therapy 146 · 6.6%
Whole-genome sequencing; Culture / phenotypic methods 120 · 5.4%
Serology / immunology 86 · 3.9%
PCR / molecular diagnostics 72 · 3.2%
PCR / molecular diagnostics; Culture / phenotypic methods 65 · 2.9%
Culture / phenotypic methods; Clinical trial / therapy 46 · 2.1%
Whole-genome sequencing 43 · 1.9%
Bioinformatics / modelling 26 · 1.2%
Culture / phenotypic methods; Serology / immunology 17 · 0.8%
Serology / immunology; Clinical trial / therapy 16 · 0.7%
Pathogens
Influenza / respiratory viruses 119 · 5.4%
SARS-CoV-2 113 · 5.1%
Cryptococcus 97 · 4.4%
Candida / Candidozyma 81 · 3.6%
Staphylococcus aureus / MRSA 54 · 2.4%
Mycobacterium tuberculosis complex; Nontuberculous mycobacteria 50 · 2.2%
Streptococcus pneumoniae 46 · 2.1%
Arboviruses 43 · 1.9%
Bordetella pertussis 39 · 1.8%
Mycobacterium tuberculosis complex 32 · 1.4%
Aspergillus 23 · 1.0%
Time
2015–2026 publications 1,214 · 54.6%
1995–2005 publications 338 · 15.2%

These are corpus-distribution observations, not judgments of scientific importance.

3 · What can I do?
178observed Knowledge Journeys
20Signature Journey candidates
13Capability candidates
2,231searchable publication passports
Current capability statements remain candidates until evidence/passport review. iCIDM can observe, search, connect, compare and prioritize review; it should not silently convert recurrence into validated capability.
4 · What don't I know?

Pathogen gaps

1,471

66.1% of records are pathogen-unspecified/mixed.

Technology gaps

1,089

49.0% of records are technology-unspecified/mixed.

Theme gaps

0

0.0% of records are theme-unspecified/mixed.

Identifier gaps

52

records currently have no DOI in the imported source.

5 · Where should I go next?
High
NEXT-001

Affiliation verification

The PubMed master is author-search-derived; institutional attribution remains the main provenance boundary.

2,231 records require status-aware institutional curation.
High
NEXT-002

Recover canonical 460 Active References

Reference Passport architecture is ready, but the canonical 460-row population has not yet been recovered.

Needed to promote observed journeys into evidence-grounded knowledge/capability routes.
High
NEXT-003

Review top 20 Signature Journeys

Prominence is not validation. Representative papers and evidence need review.

20 signature journey candidates waiting for review.
Medium
NEXT-004

Improve pathogen classification coverage

Large portions of the corpus remain pathogen-unspecified or mixed.

1,471 / 2,231 publications (66.1%).
Medium
NEXT-005

Improve technology classification coverage

Technology/method data are incomplete for many records.

1,089 / 2,231 publications (49.0%).
Observation ≠ decision. Corpus signal ≠ validated capability. iCIDM keeps the distinction visible.