DANDI Archive - Bryant McGill

# DANDI Archive **Aliases:** DANDI **Entity class:** Concept or analytic term **Collection:** [[collections/Neurotech|Neurotech]] ## Definition **DANDI Archive** is a concept or analytic term. DANDI Archive is associated with [[wiki/Neurodata Without Borders|Neurodata Without Borders]]. The source corpus interprets the relationship this way: [[wiki/AI-Ready Neurodata|AI-Ready Neurodata]] is bridged through **DANDI Archive**. Data standardization is an enabling substrate for model training and cross-lab reuse. DANDI Archive has as principal investigator [[wiki/Satrajit Ghosh|Satrajit Ghosh]]. MIT. The entry centers on the concept's meaning, practical use, and boundaries, together with the examples that make the distinction operational rather than merely verbal. ## Relationships  This entry is routed through [[collections/Neurotech|Neurotech]]. Its source context is developed in [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]], [[articles/The Architecture of Continuity and Emerging Neuroinformatics Standards|The Architecture of Continuity and Emerging Neuroinformatics Standards]], [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]], and [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]]. Status-qualified source edges are preserved in the terminal Research Edges section. ### Additional Documented Relationships - **DANDI Archive** is associated with [[wiki/Neurodata Without Borders|Neurodata Without Borders]]. - The source corpus interprets the relationship this way: [[wiki/AI-Ready Neurodata|AI-Ready Neurodata]] is bridged through **DANDI Archive**. Data standardization is an enabling substrate for model training and cross-lab reuse. - **DANDI Archive** has as principal investigator [[wiki/Satrajit Ghosh|Satrajit Ghosh]]. MIT. - **DANDI Archive** has as principal investigator [[wiki/Yaroslav Halchenko|Yaroslav Halchenko]]. Center for Open Neuroscience. - **DANDI Archive** received funding from [[wiki/National Institutes of Health|National Institutes of Health]]. - **DANDI Archive** is associated with [[wiki/Brain Imaging Data Structure|Brain Imaging Data Structure]].  ## Research Edges  #### Master relationship graph patch — 2026-09-10 **Resolved aliases:** `DANDI` **Collection:** [[collections/Neurotech|Neurotech]] **Relationship source:** [[research/Neurotechnology Ecosystem Relationship Graph - 2026-09-10|Neurotechnology Ecosystem Relationship Graph — 2026-09-10]] **Related source articles:** [[articles/The Architecture of Continuity and Emerging Neuroinformatics Standards|The Architecture of Continuity and Emerging Neuroinformatics Standards]] · [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] · [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] #### Outgoing typed edges - **Edge 375 — `principal_investigator` → [[wiki/Satrajit Ghosh|Satrajit Ghosh]]** — **VERIFIED**; evidence `NWB_GRANTS`. MIT. - **Edge 376 — `principal_investigator` → [[wiki/Yaroslav Halchenko|Yaroslav Halchenko]]** — **VERIFIED**; evidence `NWB_GRANTS`. Center for Open Neuroscience. - **Edge 377 — `funded_by` → [[wiki/National Institutes of Health|National Institutes of Health]] and [[wiki/BRAIN Initiative|BRAIN Initiative]]** — **VERIFIED**; evidence `NWB_GRANTS`, `DANDI`. - **Edge 378 — `data_standard` → [[wiki/Neurodata Without Borders|NWB]]** — **VERIFIED**; evidence `DANDI_DOC`. - **Edge 379 — `data_standard` → [[wiki/Brain Imaging Data Structure|BIDS]]** — **VERIFIED**; evidence `DANDI_DOC`. - **Edge 380 — `infrastructure_support` → [[wiki/AWS Open Data|AWS Open Data]]** — **VERIFIED**; evidence `DANDI`. #### Incoming typed edges - **Edge 389 — [[wiki/Neurodata Without Borders|NWB]] `archive` → this entry** — **VERIFIED**; evidence `NWB_ARCHIVES`. Primary BRAIN-funded archive. - **Edge 412 — [[wiki/AI-Ready Neurodata|AI-ready neurodata]] `bridge_entities` → this entry** — **ANALYTIC**; evidence `NWB_ECO`, `DANDI`, `MICRONS_ALLEN`, `CORPUS_ATLAS`. Data standardization is an enabling substrate for model training and cross-lab reuse.  ## Research Inferences  These entries translate the forward-looking register in [[research/Research Inferences|Research Inferences]] into ordinary wiki prose. The tier labels apply to the inference, not automatically to every factual anchor inside it. The interpretive frame comes from [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] and [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]]. Collection route: [[collections/Neurotech|Neurotech]]. - **INF-0252 — Established.** A public archive with required standard formatting converts scattered experiments into a training corpus. The archive, not any single laboratory, is the asset, and its governance determines who can build foundation models on human neural data.  ## Research Inference Attractors  These are secondary semantic placements for the inference attractor network. Each statement keeps its original ID and tier; its canonical cluster page links back to every destination. Source register: [[research/Research Inferences|Research Inferences]]. Interpretive context: [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] and [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]]. Collection route: [[collections/Neurotech|Neurotech]]. - **INF-0122 — Analytic.** Philanthropy funds the expensive, unprofitable middle of a capability curve that neither grants nor venture capital will carry. The existence of philanthropically funded connectomics is what keeps the mapping trajectory on schedule between public science and commercial return. - **Canonical cluster:** [[wiki/Connectomics|Connectomics]] - **INF-0125 — Strongly indicated.** A whole mouse brain at electron-microscopic resolution occupies a multi-petabyte volume, and a human brain occupies an exabyte-class one. The archival medium and its century-scale durability become part of the neuroscience, which is where connectomics meets deep-time storage engineering. - **Canonical cluster:** [[wiki/Connectomics|Connectomics]]