{
  "identifier": "tag:aim-pro.eu,2026:oer/0a5f25e28fa6/record",
  "profile": "aimpro-oer-profile/1",
  "normaliser": "oerlib.metadata/2",
  "status": "ready",
  "normalised_at": "2026-10-09T10:08:16+00:00",
  "resource": {
    "id": "0a5f25e28fa6",
    "identifier": "tag:aim-pro.eu,2026:oer/0a5f25e28fa6",
    "uri": "https://zenodo.org/records/19219171",
    "title": "ARTIFICIAL INTELLIGENCE IN DIGITAL MARKETING STRATEGIES",
    "description": "Artificial Intelligence (AI) plays a key role in digital marketing by supporting predictive marketing, programmatic advertising, real-time bidding, and content optimization. It enables companies to analyze consumer data, predict customer behavior, and create personalized campaigns, improving marketing efficiency, customer engagement, and competitive advantage.",
    "creators": [
      "Narzieva Gulnoza Akbarovna",
      "Karimov Abdulaziz Xamza Ugli"
    ],
    "keywords": [],
    "kind": "pdf",
    "content_language": "en",
    "declared_language": "",
    "word_count": 1188,
    "content_hash": "12b030650ef6f386",
    "metadata_only": false
  },
  "licence": {
    "raw": "cc-by-4.0",
    "spdx": "CC-BY-4.0",
    "uri": "https://creativecommons.org/licenses/by/4.0/",
    "verdict": "OPEN",
    "note": "open, permissive",
    "ingestable": true,
    "commercial_ok": true,
    "derivable": true,
    "share_alike": false,
    "evidence": {
      "scope": "all files in this Zenodo record",
      "method": "Zenodo REST record metadata",
      "schema": 1,
      "status": "captured",
      "location": "metadata.license.id",
      "source_url": "https://zenodo.org/api/records/19219171",
      "asserted_by": "Zenodo record owner/depositor",
      "captured_at": "2026-10-09T10:08:02+00:00",
      "source_system": "zenodo",
      "observed_value": "cc-by-4.0",
      "documentation_url": "https://developers.zenodo.org/#records",
      "responsibility_url": "https://help.zenodo.org/docs/deposit/describe-records/licenses/",
      "documentation_label": "Zenodo REST records documentation",
      "responsibility_note": "The depositor selects the required record licence; Zenodo publishes that metadata assertion."
    }
  },
  "descriptive": {
    "contributions": [
      {
        "name": "Narzieva Gulnoza Akbarovna",
        "role": "author",
        "affiliation": "Senior teacher, (PhD) of the Department of \"Languages\" of Samarkand branch of Tashkent University of Information Technologies",
        "identifier": "",
        "scope": "resource"
      },
      {
        "name": "Karimov Abdulaziz Xamza Ugli",
        "role": "author",
        "affiliation": "Student of Samarkand branch of Tashkent University of Information Technologies, Samarkand, Uzbekistan",
        "identifier": "",
        "scope": "resource"
      }
    ],
    "identifiers": [
      {
        "scheme": "doi",
        "value": "10.5281/zenodo.19219171",
        "scope": "resource"
      },
      {
        "scheme": "zenodo-record",
        "value": "19219171",
        "scope": "resource"
      }
    ],
    "dates": [
      {
        "meaning": "issued",
        "value": "2026-03-25",
        "scope": "resource"
      },
      {
        "meaning": "created",
        "value": "2026-03-25",
        "scope": "resource"
      },
      {
        "meaning": "modified",
        "value": "2026-03-25",
        "scope": "resource"
      }
    ],
    "subjects": [],
    "relations": [
      {
        "kind": "isversionof",
        "target": "https://doi.org/10.5281/zenodo.19219170",
        "label": "all versions of this deposit"
      }
    ],
    "educational": {
      "learning_resource_type": "",
      "intended_end_user_role": "",
      "context": "",
      "difficulty": "",
      "typical_learning_time": "",
      "description": ""
    },
    "container": {
      "kind": "",
      "uri": "",
      "title": "",
      "description": "",
      "identifier": ""
    },
    "declared_language": "",
    "declared_type": "Dataset",
    "rights_holder": "",
    "access_rights": "open",
    "publisher": "",
    "version": "",
    "citation": "International journal of artificial intelligence, vol. 6(03), pp. 778-780",
    "notes": "",
    "lifecycle_status": "",
    "structure_role": "",
    "snapshot": {
      "file": {},
      "resource": {
        "id": 19219171,
        "doi": "10.5281/zenodo.19219171",
        "title": "ARTIFICIAL INTELLIGENCE IN DIGITAL MARKETING STRATEGIES",
        "created": "2026-03-25T10:05:42.202920+00:00",
        "journal": {
          "issue": "03",
          "pages": "778-780",
          "title": "International journal of artificial intelligence",
          "volume": "6"
        },
        "license": {
          "id": "cc-by-4.0"
        },
        "updated": "2026-03-25T10:05:42.723050+00:00",
        "creators": [
          {
            "name": "Narzieva Gulnoza Akbarovna",
            "affiliation": "Senior teacher, (PhD) of the Department of \"Languages\" of Samarkand branch of Tashkent University of Information Technologies"
          },
          {
            "name": "Karimov Abdulaziz Xamza Ugli",
            "affiliation": "Student of Samarkand branch of Tashkent University of Information Technologies, Samarkand, Uzbekistan"
          }
        ],
        "conceptdoi": "10.5281/zenodo.19219170",
        "description": "Artificial Intelligence (AI) plays a key role in digital marketing by supporting predictive marketing, programmatic advertising, real-time bidding, and content optimization. It enables companies to analyze consumer data, predict customer behavior, and create personalized campaigns, improving marketing efficiency, customer engagement, and competitive advantage.",
        "access_right": "open",
        "conceptrecid": "19219170",
        "resource_type": {
          "type": "dataset",
          "title": "Dataset"
        },
        "publication_date": "2026-03-25"
      }
    }
  },
  "representations": [
    {
      "role": "original",
      "media_type": "application/pdf",
      "size_bytes": 229181,
      "filename": "778-780.pdf",
      "location": "",
      "source_format": "",
      "converter": ""
    },
    {
      "role": "extracted",
      "media_type": "text/markdown",
      "size_bytes": 9215,
      "filename": "",
      "location": "",
      "source_format": "pdf",
      "converter": "pdf-inspector"
    }
  ],
  "observed": {
    "language": {
      "method": "heuristic",
      "reason": "English",
      "accepted": true,
      "declared": null,
      "detected": "en",
      "confidence": null,
      "review_required": false
    }
  },
  "collection": {
    "source": "zenodo",
    "source_label": "Zenodo",
    "collected_at": "2026-10-09T10:08:16.168416+00:00",
    "query": "(\"artificial intelligence\" OR \"machine learning\" OR \"generative AI\" OR \"deep learning\" OR \"reinforcement learning\" OR \"large language model\" OR \"AI\") AND (\"AI concepts\" OR \"types of AI\" OR \"AI fundamentals\" OR \"recognizing AI\" OR \"recognising AI\" OR \"general versus narrow AI\" OR \"narrow AI\" OR \"general AI\" OR \"machine intelligence\" OR \"AI strengths and weaknesses\" OR \"traditional software\" OR \"rule-based systems\" OR \"introduction to AI\" OR \"introduction to artificial intelligence\" OR \"artificial intelligence introduction\" OR \"AI primer\" OR \"foundations of artificial intelligence\" OR \"overview of AI\" OR \"understanding AI\" OR \"history of AI\" OR \"AI essentials\" OR \"AI terminology\" OR \"metaphors for AI\" OR \"AI fundamental concepts\" OR \"AI key concepts\" OR \"philosophy of AI\" OR \"critical AI literacy\")",
    "note": "where this was collected from. Not a claim that the provider published or authored it"
  },
  "provenance": [
    {
      "field": "resource_id",
      "scope": "resource",
      "method": "engine",
      "evidence_ref": "engine#/resource_id"
    },
    {
      "field": "query",
      "scope": "resource",
      "method": "engine",
      "evidence_ref": "engine#/query"
    },
    {
      "field": "collected_from",
      "scope": "resource",
      "method": "engine",
      "evidence_ref": "engine#/source"
    },
    {
      "field": "title",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/title"
    },
    {
      "field": "description",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/description"
    },
    {
      "field": "citation",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/journal/title"
    },
    {
      "field": "contributions",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/creators/0/name"
    },
    {
      "field": "contributions",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/creators/1/name"
    },
    {
      "field": "dates",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/publication_date"
    },
    {
      "field": "identifiers",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/doi"
    },
    {
      "field": "identifiers",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource"
    },
    {
      "field": "relations",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource"
    },
    {
      "field": "content_language",
      "scope": "resource",
      "method": "gate_observation",
      "evidence_ref": "gate#/language/heuristic"
    },
    {
      "field": "licence",
      "scope": "resource",
      "method": "gate_observation",
      "evidence_ref": "gate#/licence/evidence"
    },
    {
      "field": "access_rights",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/access_right"
    },
    {
      "field": "representations",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource"
    },
    {
      "field": "representations",
      "scope": "resource",
      "method": "conversion",
      "evidence_ref": "conversion#/pdf"
    },
    {
      "field": "declared_type",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/resource_type/title"
    }
  ],
  "incidents": [
    {
      "code": "absent",
      "field": "subjects",
      "detail": "the source published no keywords"
    },
    {
      "code": "absent",
      "field": "declared_language",
      "detail": "the source declared no language; the recorded content language is this engine's reading of the text"
    },
    {
      "code": "absent",
      "field": "rights_holder",
      "detail": "no rights holder is named at source; the licence is recorded without one rather than attributed to the platform that served it"
    },
    {
      "code": "absent",
      "field": "publisher",
      "detail": "the source named no publisher of the work; where it was collected from is recorded as collection provenance instead, which is a different claim"
    },
    {
      "code": "absent",
      "field": "educational",
      "detail": "the source declared no educational metadata — no resource type, audience, context, difficulty or learning time. Nothing here estimates them"
    },
    {
      "code": "unmapped",
      "field": "declared_type",
      "detail": "the declared type 'Dataset' has no justified LOM learning resource type; it is kept verbatim and the LOM element is left empty"
    }
  ],
  "inferred": []
}