{
  "title": "OpenScienceSensemaking",
  "domain": "Cognitive Security",
  "type": "Paper",
  "creators": [
    {
      "name": "Ronen Tamari"
    },
    {
      "name": "Daniel A. Friedman"
    }
  ],
  "description": "While open access publishing broadens access to research products, making sense of volumes of new information is increasingly acute. We contend that open access to diverse sources of scientific sensem...",
  "abstract": "While open access publishing broadens access to research products, making sense of volumes of new information is increasingly acute. We contend that open access to diverse sources of scientific sensemaking data is essential. We propose Open Science Sensemaking (OSSm)—an interoperable decentralized annotation network enabling researchers to share sensemaking data including annotations, tags, ratings, and behavioral traces.",
  "keywords": [
    "OSSm",
    "Open Science Sensemaking",
    "scientific sensemaking",
    "annotation networks",
    "open access",
    "decentralized",
    "information overload"
  ],
  "methods": [
    {
      "name": "Narrative analysis",
      "description": "Applied narrative analysis approach"
    },
    {
      "name": "Trust and integrity modeling",
      "description": "Applied trust and integrity modeling approach"
    }
  ],
  "key_findings": [
    "While open access publishing broadens access to research products, making sense of volumes of new information is increasingly acute..",
    "We contend that open access to diverse sources of scientific sensem...."
  ],
  "related_papers": [
    "2020_EmergentTeams",
    "2020_FacilitatorsCatechism",
    "2020_GreatPreset"
  ],
  "checked_at": "2026-07-01T20:50:01Z"
}