{
  "annotation_id": "e81ae4ba-c6bf-4c26-8b76-62dec465b060",
  "date_created": "2026-03-02T18:00:39.861000Z",
  "date_modified": "2026-03-02T18:00:39.861000Z",
  "file_hash": "630cd8bee55caacc46940ab9d4a12ba5e9f579f85810e7ee769d65ee8707af87",
  "private": false,
  "record": {
    "abstract": "All Control Systems that grow to any size have a variety of data that are\nstored in different formats on different nodes in the network. Examples include\nsensor value and status, archived sensor data, device oriented support data and\nrelationships, message logs, application and machine configurations etc. Each\ntype of data typically has a different programming interface. Higher-level\napplications need to access a logically related set of data that is in\ndifferent data stores and may require different processing. AIDA is envisioned\nto be a distributed service that allows applications access to this wide\nvariety of Control System data in a consistent way that is language and machine\nindependent. It has the additional goal of providing an object-oriented layer\nfor constructing applications on top of multiple existing conventional systems\nlike EPICS or the SLC Control System. Motivation, design overview and current\nstatus will be presented.",
    "arxiv_id": "physics/0201048",
    "authors": [
      "Matthias Clausen",
      "Ron MacKenzie",
      "Robert Sass",
      "Kenneth Underwood",
      "Greg White"
    ],
    "categories": [
      "physics.acc-ph"
    ],
    "journal_ref": "eConf C011127 (2001) THAP011",
    "title": "AIDA: Accelerator Integrated Data Access",
    "url": "https://arxiv.org/abs/physics/0201048"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "77d58d7b-0c53-420f-b8bf-ae5780f9e557",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}