Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live 88cedd33073c
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": ">1,100 healthy young adults; multimodal MRI and MEG",
      "claim_text": "The Human Connectome Project (WU-Minn-Ox) released multimodal MRI/MEG and behavioural data from >1,100 healthy young adults, including >27 PB of shared data and >1,500 acknowledging publications, establishing 'HCP-style' best-practice strategies for human connectomics.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1016/j.neuroimage.2021.118543",
        "claim": "The Human Connectome Project (WU-Minn-Ox) released multimodal MRI/MEG and behavioural data from >1,100 healthy young adults, including >27 PB of shared data and >1,500 acknowledging publications, establishing 'HCP-style' best-practice strategies for human connectomics.",
        "cite_key": "Elam2021",
        "evidence": "The Human Connectome Project (WU-Minn-Ox) released multimodal MRI/MEG and behavioural data from >1,100 healthy young adults, including >27 PB of shared data and >1,500 acknowledging publications, establishing 'HCP-style' best-practice strategies for human connectomics.",
        "effect_size": null,
        "text_access": "abstract_only",
        "study_system": ">1,100 healthy young adults; multimodal MRI and MEG",
        "source_cluster_id": "cluster_07",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "To date, more than 27 Petabytes of data have been shared, and 1538 papers acknowledging HCP data use have been published.",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-08",
      "source_kind": "review_finding",
      "source_path": "evidence/section_08_evidence_package.json",
      "source_refs": [
        "paper:paper-c7cfa853a7b5"
      ],
      "source_span": "To date, more than 27 Petabytes of data have been shared, and 1538 papers acknowledging HCP data use have been published.",
      "study_system": ">1,100 healthy young adults; multimodal MRI and MEG",
      "evidence_refs": [
        {
          "ref": "paper:paper-c7cfa853a7b5"
        }
      ],
      "section_title": "Cortical Association Connectome: Intra-Cortical Loops and Modules",
      "source_policy": {
        "mode": "public_source_pointer_with_short_context",
        "notes": [
          "Local review repositories are read-only inputs.",
          "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
        ],
        "source_commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
      },
      "evidence_summary": "The Human Connectome Project (WU-Minn-Ox) released multimodal MRI/MEG and behavioural data from >1,100 healthy young adults, including >27 PB of shared data and >1,500 acknowledging publications, establishing 'HCP-style' best-practice strategies for human connectomics.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "replication_unknown",
      "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
      "source_artifact_ref": "wiki_page:computationalreviewloops-08",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
      "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
    }