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glam/docs/WIKIDATA_SPARQL_QUERIES.md
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2025-11-19 23:25:22 +01:00

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Wikidata SPARQL Queries for Global GLAMORCUBEPSXHF Extraction

This document provides comprehensive SPARQL queries to extract ALL GLAMORCUBEPSXHF (Galleries, Libraries, Archives, Museums, Official institutions, Research centers, Corporations, Universities, Botanical gardens/zoos, Educational providers, Personal collections, Societies, Holy sites, Features) institutions worldwide from Wikidata.

Table of Contents

  1. Generic SPARQL Query Template
  2. Institution Type Mappings
  3. Country Codes with Wikidata QIDs
  4. Usage Examples
  5. Query Optimization Strategies

Generic SPARQL Query Template

This generic query extracts ALL metadata for heritage institutions in a specific country. Replace {COUNTRY_QID} with the country's Wikidata QID from the table below.

# Generic GLAMORCUBEPSXHF Institution Query
# Replace {COUNTRY_QID} with actual country QID (e.g., Q55 for Netherlands)
# Replace {LANGUAGES} with comma-separated language codes (e.g., "nl,en" for Dutch/English)

SELECT DISTINCT 
  ?item ?itemLabel ?itemDescription ?itemAltLabel 
  ?instType ?instTypeLabel
  ?coords ?latitude ?longitude
  ?streetAddress ?postalCode ?city ?cityLabel ?region ?regionLabel
  ?isil ?viaf ?wikidataQID ?website ?email ?phone
  ?inception ?dissolved ?foundingDate
  ?parent ?parentLabel ?partOf ?partOfLabel
  ?collectionSize ?collectionType
  ?image ?logo
WHERE {
  # =============================================================================
  # INSTITUTION TYPE FILTER (Museums, Libraries, Archives, Galleries, etc.)
  # =============================================================================
  
  VALUES ?instTypeClass {
    wd:Q33506      # museum
    wd:Q7075       # library
    wd:Q166118     # archive
    wd:Q2668072    # art gallery
    wd:Q5282129    # cultural center
    wd:Q3152824    # research center
    wd:Q294163     # public institution (official institutions)
    wd:Q3918       # university
    wd:Q167346     # botanical garden
    wd:Q43229      # organization (for societies, corporations)
    wd:Q16970      # church building (holy sites)
    wd:Q44539      # temple (holy sites)
    wd:Q32815      # mosque (holy sites)
    wd:Q34627      # synagogue (holy sites)
    wd:Q162378     # sanctuary (holy sites)
  }
  
  # Instance of (or subclass of) heritage institution type
  ?item wdt:P31/wdt:P279? ?instTypeClass .
  
  # =============================================================================
  # COUNTRY FILTER
  # =============================================================================
  
  ?item wdt:P17 wd:{COUNTRY_QID} .  # country
  
  # =============================================================================
  # CAPTURE INSTITUTION TYPE
  # =============================================================================
  
  ?item wdt:P31 ?instType .
  
  # =============================================================================
  # GEOGRAPHIC DATA
  # =============================================================================
  
  # Coordinates (lat/lon)
  OPTIONAL { 
    ?item wdt:P625 ?coords .
    BIND(geoLatitude(?coords) AS ?latitude)
    BIND(geoLongitude(?coords) AS ?longitude)
  }
  
  # Physical address components
  OPTIONAL { ?item wdt:P6375 ?streetAddress . }     # street address
  OPTIONAL { ?item wdt:P281 ?postalCode . }         # postal code
  
  # City/municipality
  OPTIONAL { 
    ?item wdt:P131 ?city .                          # located in administrative territory
    ?city wdt:P31/wdt:P279? wd:Q515 .              # city
  }
  
  # Region/province/state
  OPTIONAL { 
    ?item wdt:P131 ?region .
    ?region wdt:P31/wdt:P279? wd:Q10864048 .       # first-level admin division
  }
  
  # =============================================================================
  # IDENTIFIERS
  # =============================================================================
  
  OPTIONAL { ?item wdt:P791 ?isil . }               # ISIL code
  OPTIONAL { ?item wdt:P214 ?viaf . }               # VIAF ID
  OPTIONAL { ?item wdt:P856 ?website . }            # official website
  OPTIONAL { ?item wdt:P968 ?email . }              # email address
  OPTIONAL { ?item wdt:P1329 ?phone . }             # phone number
  
  # Extract Wikidata QID from URI
  BIND(STRAFTER(STR(?item), "http://www.wikidata.org/entity/") AS ?wikidataQID)
  
  # =============================================================================
  # TEMPORAL DATA
  # =============================================================================
  
  OPTIONAL { ?item wdt:P571 ?inception . }          # inception date
  OPTIONAL { ?item wdt:P576 ?dissolved . }          # dissolved/abolished date
  OPTIONAL { ?item wdt:P1619 ?foundingDate . }      # official founding date
  
  # =============================================================================
  # ORGANIZATIONAL RELATIONSHIPS
  # =============================================================================
  
  OPTIONAL { ?item wdt:P749 ?parent . }             # parent organization
  OPTIONAL { ?item wdt:P361 ?partOf . }             # part of (larger entity)
  
  # =============================================================================
  # COLLECTION METADATA
  # =============================================================================
  
  OPTIONAL { ?item wdt:P1301 ?collectionSize . }    # number of items in collection
  OPTIONAL { ?item wdt:P195 ?collectionType . }     # collection type
  
  # =============================================================================
  # MEDIA
  # =============================================================================
  
  OPTIONAL { ?item wdt:P18 ?image . }               # image
  OPTIONAL { ?item wdt:P154 ?logo . }               # logo
  
  # =============================================================================
  # LABELS AND DESCRIPTIONS (Multilingual)
  # =============================================================================
  
  SERVICE wikibase:label { 
    bd:serviceParam wikibase:language "{LANGUAGES}" . 
    ?item rdfs:label ?itemLabel .
    ?item schema:description ?itemDescription .
    ?item skos:altLabel ?itemAltLabel .
    ?instType rdfs:label ?instTypeLabel .
    ?city rdfs:label ?cityLabel .
    ?region rdfs:label ?regionLabel .
    ?parent rdfs:label ?parentLabel .
    ?partOf rdfs:label ?partOfLabel .
  }
}
ORDER BY ?itemLabel
LIMIT 1000

Institution Type Mappings

Wikidata QIDs for each GLAMORCUBEPSXHF category:

GLAMORCUBEPSXHF Type Code Wikidata QID(s) Wikidata Label Notes
GALLERY G Q2668072 art gallery Commercial and exhibition galleries
LIBRARY L Q7075 library Public, academic, specialized libraries
ARCHIVE A Q166118 archive Government, corporate, community archives
MUSEUM M Q33506 museum Art, history, science, natural history museums
OFFICIAL_INSTITUTION O Q294163, Q5341295 public institution, government agency Official heritage agencies
RESEARCH_CENTER R Q3152824, Q31855 research center, research institute Heritage research institutes
CORPORATION C Q4830453 business archive, Q783794 (company) Corporate heritage collections
UNIVERSITY U Q3918 university Universities with heritage collections
BOTANICAL_ZOO B Q167346, Q43229 botanical garden, zoo Natural heritage sites
EDUCATION_PROVIDER E Q2385804, Q3914 educational institution, school Schools with heritage collections
PERSONAL_COLLECTION P Q23058176 private collection Personal collections (rare in Wikidata)
COLLECTING_SOCIETY S Q43229 organization Numismatic, philatelic, historical societies
HOLY_SITES H Q16970, Q44539, Q32815, Q34627, Q162378 church, temple, mosque, synagogue, sanctuary Religious heritage sites
FEATURES F Q4989906, Q860861, Q5003624, Q5003551 monument, sculpture, statue, memorial Physical landmarks with heritage significance
MIXED X (Multiple types) - Institutions with multiple types

Refined Query by Institution Type

For targeted extraction, query each type separately:

Museums Only:

?item wdt:P31/wdt:P279? wd:Q33506 .  # museum (including subtypes)

Libraries Only:

?item wdt:P31/wdt:P279? wd:Q7075 .   # library (public, academic, national)

Archives Only:

?item wdt:P31/wdt:P279? wd:Q166118 . # archive

Holy Sites with Collections:

VALUES ?holyType { wd:Q16970 wd:Q44539 wd:Q32815 wd:Q34627 wd:Q162378 }
?item wdt:P31 ?holyType .
# Add collection-related properties to filter heritage-managing sites
OPTIONAL { ?item wdt:P1301 ?collectionSize . }
FILTER(BOUND(?collectionSize) || EXISTS { ?item wdt:P195 ?collection . })

Country Codes with Wikidata QIDs

Complete list of 250+ countries/territories with ISO 3166-1 alpha-2 codes and Wikidata QIDs for use in SPARQL queries.

Africa (54 countries)

Country Code Wikidata QID Flag
Algeria DZ Q262 🇩🇿
Angola AO Q916 🇦🇴
Benin BJ Q962 🇧🇯
Botswana BW Q963 🇧🇼
Burkina Faso BF Q965 🇧🇫
Burundi BI Q967 🇧🇮
Cameroon CM Q1009 🇨🇲
Cape Verde CV Q1011 🇨🇻
Central African Republic CF Q929 🇨🇫
Chad TD Q657 🇹🇩
Comoros KM Q970 🇰🇲
Congo (Brazzaville) CG Q971 🇨🇬
Congo (Kinshasa) CD Q974 🇨🇩
Djibouti DJ Q977 🇩🇯
Egypt EG Q79 🇪🇬
Equatorial Guinea GQ Q983 🇬🇶
Eritrea ER Q986 🇪🇷
Eswatini (Swaziland) SZ Q1050 🇸🇿
Ethiopia ET Q115 🇪🇹
Gabon GA Q1000 🇬🇦
Gambia GM Q1005 🇬🇲
Ghana GH Q117 🇬🇭
Guinea GN Q1006 🇬🇳
Guinea-Bissau GW Q1007 🇬🇼
Ivory Coast CI Q1008 🇨🇮
Kenya KE Q114 🇰🇪
Lesotho LS Q1013 🇱🇸
Liberia LR Q1014 🇱🇷
Libya LY Q1016 🇱🇾
Madagascar MG Q1019 🇲🇬
Malawi MW Q1020 🇲🇼
Mali ML Q912 🇲🇱
Mauritania MR Q1025 🇲🇷
Mauritius MU Q1027 🇲🇺
Morocco MA Q1028 🇲🇦
Mozambique MZ Q1029 🇲🇿
Namibia NA Q1030 🇳🇦
Niger NE Q1032 🇳🇪
Nigeria NG Q1033 🇳🇬
Rwanda RW Q1037 🇷🇼
São Tomé and Príncipe ST Q1039 🇸🇹
Senegal SN Q1041 🇸🇳
Seychelles SC Q1042 🇸🇨
Sierra Leone SL Q1044 🇸🇱
Somalia SO Q1045 🇸🇴
South Africa ZA Q258 🇿🇦
South Sudan SS Q958 🇸🇸
Sudan SD Q1049 🇸🇩
Tanzania TZ Q924 🇹🇿
Togo TG Q945 🇹🇬
Tunisia TN Q948 🇹🇳
Uganda UG Q1036 🇺🇬
Zambia ZM Q953 🇿🇲
Zimbabwe ZW Q954 🇿🇼

Americas (35 countries)

Country Code Wikidata QID Flag
Antigua and Barbuda AG Q781 🇦🇬
Argentina AR Q414 🇦🇷
Bahamas BS Q778 🇧🇸
Barbados BB Q244 🇧🇧
Belize BZ Q242 🇧🇿
Bolivia BO Q750 🇧🇴
Brazil BR Q155 🇧🇷
Canada CA Q16 🇨🇦
Chile CL Q298 🇨🇱
Colombia CO Q739 🇨🇴
Costa Rica CR Q800 🇨🇷
Cuba CU Q241 🇨🇺
Dominica DM Q784 🇩🇲
Dominican Republic DO Q786 🇩🇴
Ecuador EC Q736 🇪🇨
El Salvador SV Q792 🇸🇻
Grenada GD Q769 🇬🇩
Guatemala GT Q774 🇬🇹
Guyana GY Q734 🇬🇾
Haiti HT Q790 🇭🇹
Honduras HN Q783 🇭🇳
Jamaica JM Q766 🇯🇲
Mexico MX Q96 🇲🇽
Nicaragua NI Q811 🇳🇮
Panama PA Q804 🇵🇦
Paraguay PY Q733 🇵🇾
Peru PE Q419 🇵🇪
Saint Kitts and Nevis KN Q763 🇰🇳
Saint Lucia LC Q760 🇱🇨
Saint Vincent and the Grenadines VC Q757 🇻🇨
Suriname SR Q730 🇸🇷
Trinidad and Tobago TT Q754 🇹🇹
United States US Q30 🇺🇸
Uruguay UY Q77 🇺🇾
Venezuela VE Q717 🇻🇪

Asia (50 countries/territories)

Country Code Wikidata QID Flag
Afghanistan AF Q889 🇦🇫
Armenia AM Q399 🇦🇲
Azerbaijan AZ Q227 🇦🇿
Bahrain BH Q398 🇧🇭
Bangladesh BD Q902 🇧🇩
Bhutan BT Q917 🇧🇹
Brunei BN Q921 🇧🇳
Cambodia KH Q424 🇰🇭
China CN Q148 🇨🇳
Cyprus CY Q229 🇨🇾
East Timor (Timor-Leste) TL Q574 🇹🇱
Georgia GE Q230 🇬🇪
India IN Q668 🇮🇳
Indonesia ID Q252 🇮🇩
Iran IR Q794 🇮🇷
Iraq IQ Q796 🇮🇶
Israel IL Q801 🇮🇱
Japan JP Q17 🇯🇵
Jordan JO Q810 🇯🇴
Kazakhstan KZ Q232 🇰🇿
Kuwait KW Q817 🇰🇼
Kyrgyzstan KG Q813 🇰🇬
Laos LA Q819 🇱🇦
Lebanon LB Q822 🇱🇧
Malaysia MY Q833 🇲🇾
Maldives MV Q826 🇲🇻
Mongolia MN Q711 🇲🇳
Myanmar (Burma) MM Q836 🇲🇲
Nepal NP Q837 🇳🇵
North Korea KP Q423 🇰🇵
Oman OM Q842 🇴🇲
Pakistan PK Q843 🇵🇰
Palestine PS Q219060 🇵🇸
Philippines PH Q928 🇵🇭
Qatar QA Q846 🇶🇦
Saudi Arabia SA Q851 🇸🇦
Singapore SG Q334 🇸🇬
South Korea KR Q884 🇰🇷
Sri Lanka LK Q854 🇱🇰
Syria SY Q858 🇸🇾
Taiwan TW Q865 🇹🇼
Tajikistan TJ Q863 🇹🇯
Thailand TH Q869 🇹🇭
Turkey TR Q43 🇹🇷
Turkmenistan TM Q874 🇹🇲
United Arab Emirates AE Q878 🇦🇪
Uzbekistan UZ Q265 🇺🇿
Vietnam VN Q881 🇻🇳
Yemen YE Q805 🇾🇪

Europe (50 countries/territories)

Country Code Wikidata QID Flag
Albania AL Q222 🇦🇱
Andorra AD Q228 🇦🇩
Austria AT Q40 🇦🇹
Belarus BY Q184 🇧🇾
Belgium BE Q31 🇧🇪
Bosnia and Herzegovina BA Q225 🇧🇦
Bulgaria BG Q219 🇧🇬
Croatia HR Q224 🇭🇷
Czech Republic CZ Q213 🇨🇿
Denmark DK Q35 🇩🇰
Estonia EE Q191 🇪🇪
Finland FI Q33 🇫🇮
France FR Q142 🇫🇷
Germany DE Q183 🇩🇪
Greece GR Q41 🇬🇷
Hungary HU Q28 🇭🇺
Iceland IS Q189 🇮🇸
Ireland IE Q27 🇮🇪
Italy IT Q38 🇮🇹
Kosovo XK Q1246 🇽🇰
Latvia LV Q211 🇱🇻
Liechtenstein LI Q347 🇱🇮
Lithuania LT Q37 🇱🇹
Luxembourg LU Q32 🇱🇺
Malta MT Q233 🇲🇹
Moldova MD Q217 🇲🇩
Monaco MC Q235 🇲🇨
Montenegro ME Q236 🇲🇪
Netherlands NL Q55 🇳🇱
North Macedonia MK Q221 🇲🇰
Norway NO Q20 🇳🇴
Poland PL Q36 🇵🇱
Portugal PT Q45 🇵🇹
Romania RO Q218 🇷🇴
Russia RU Q159 🇷🇺
San Marino SM Q238 🇸🇲
Serbia RS Q403 🇷🇸
Slovakia SK Q214 🇸🇰
Slovenia SI Q215 🇸🇮
Spain ES Q29 🇪🇸
Sweden SE Q34 🇸🇪
Switzerland CH Q39 🇨🇭
Ukraine UA Q212 🇺🇦
United Kingdom GB Q145 🇬🇧
Vatican City VA Q237 🇻🇦

Oceania (16 countries/territories)

Country Code Wikidata QID Flag
Australia AU Q408 🇦🇺
Fiji FJ Q712 🇫🇯
Kiribati KI Q710 🇰🇮
Marshall Islands MH Q709 🇲🇭
Micronesia FM Q702 🇫🇲
Nauru NR Q697 🇳🇷
New Zealand NZ Q664 🇳🇿
Palau PW Q695 🇵🇼
Papua New Guinea PG Q691 🇵🇬
Samoa WS Q683 🇼🇸
Solomon Islands SB Q685 🇸🇧
Tonga TO Q678 🇹🇴
Tuvalu TV Q672 🇹🇻
Vanuatu VU Q686 🇻🇺

Total: 205+ countries and territories

Usage Examples

Example 1: Extract All Dutch Museums

SELECT DISTINCT ?item ?itemLabel ?itemDescription ?coords ?isil ?viaf ?website
WHERE {
  ?item wdt:P31/wdt:P279? wd:Q33506 .  # museum
  ?item wdt:P17 wd:Q55 .                # Netherlands
  
  OPTIONAL { ?item wdt:P625 ?coords . }
  OPTIONAL { ?item wdt:P791 ?isil . }
  OPTIONAL { ?item wdt:P214 ?viaf . }
  OPTIONAL { ?item wdt:P856 ?website . }
  
  SERVICE wikibase:label { 
    bd:serviceParam wikibase:language "nl,en" . 
  }
}
LIMIT 1000

Example 2: Extract Brazilian Libraries with Collections

SELECT DISTINCT ?item ?itemLabel ?city ?cityLabel ?collectionSize ?website
WHERE {
  ?item wdt:P31/wdt:P279? wd:Q7075 .    # library
  ?item wdt:P17 wd:Q155 .                # Brazil
  
  OPTIONAL { 
    ?item wdt:P131 ?city .
    ?city wdt:P31/wdt:P279? wd:Q515 .   # city
  }
  
  OPTIONAL { ?item wdt:P1301 ?collectionSize . }  # collection size
  OPTIONAL { ?item wdt:P856 ?website . }
  
  SERVICE wikibase:label { 
    bd:serviceParam wikibase:language "pt,en" . 
  }
}
ORDER BY DESC(?collectionSize)
LIMIT 500

Example 3: Extract Japanese Archives with ISIL Codes

SELECT DISTINCT ?item ?itemLabel ?isil ?city ?cityLabel ?inception
WHERE {
  ?item wdt:P31/wdt:P279? wd:Q166118 .  # archive
  ?item wdt:P17 wd:Q17 .                 # Japan
  ?item wdt:P791 ?isil .                 # MUST have ISIL code
  
  OPTIONAL { 
    ?item wdt:P131 ?city .
  }
  
  OPTIONAL { ?item wdt:P571 ?inception . }
  
  SERVICE wikibase:label { 
    bd:serviceParam wikibase:language "ja,en" . 
  }
}
ORDER BY ?isil
LIMIT 1000

Example 4: Extract All Heritage Institutions in Tunisia

SELECT DISTINCT ?item ?itemLabel ?itemDescription ?instTypeLabel ?coords ?website
WHERE {
  VALUES ?instTypeClass {
    wd:Q33506      # museum
    wd:Q7075       # library
    wd:Q166118     # archive
    wd:Q2668072    # art gallery
    wd:Q5282129    # cultural center
  }
  
  ?item wdt:P31/wdt:P279? ?instTypeClass .
  ?item wdt:P17 wd:Q948 .  # Tunisia
  ?item wdt:P31 ?instType .
  
  OPTIONAL { ?item wdt:P625 ?coords . }
  OPTIONAL { ?item wdt:P856 ?website . }
  
  SERVICE wikibase:label { 
    bd:serviceParam wikibase:language "ar,fr,en" . 
  }
}
LIMIT 1000

Query Optimization Strategies

1. Avoid Transitive Subclass Queries

❌ Slow (causes 504 timeout):

?item wdt:P31/wdt:P279* wd:Q33506 .  # AVOID wdt:P279* (unbounded)

✅ Fast (limited depth):

?item wdt:P31/wdt:P279? wd:Q33506 .  # Use wdt:P279? (0 or 1 hop)

2. Query Institution Types Separately

Instead of one large query with all types, run separate queries for each type:

institution_types = ["Q33506", "Q7075", "Q166118", "Q2668072"]

for inst_type in institution_types:
    query = f"""
    SELECT DISTINCT ?item ?itemLabel ...
    WHERE {{
      ?item wdt:P31/wdt:P279? wd:{inst_type} .
      ?item wdt:P17 wd:{{COUNTRY_QID}} .
      ...
    }}
    LIMIT 1000
    """
    results = execute_sparql(query)

3. Use LIMIT and OFFSET for Pagination

For countries with many institutions (e.g., France, Germany, UK):

SELECT DISTINCT ?item ?itemLabel ...
WHERE {
  ...
}
ORDER BY ?itemLabel
LIMIT 1000
OFFSET 0  # Change to 1000, 2000, 3000, etc. for pagination

4. Specify Language Priorities

SERVICE wikibase:label { 
  bd:serviceParam wikibase:language "nl,en" .  # Dutch preferred, English fallback
}

Language codes by country:

  • Netherlands: "nl,en"
  • Brazil: "pt,en"
  • Japan: "ja,en"
  • France: "fr,en"
  • Germany: "de,en"
  • China: "zh,en"
  • Russia: "ru,en"
  • Arabic countries: "ar,en" or "ar,fr,en"

5. Rate Limiting

Wikidata SPARQL endpoint has rate limits. Best practices:

  • Add delays between queries: Wait 2-5 seconds between requests
  • Use custom User-Agent: "GLAM-Extractor/0.2.0 (Wikidata Global Extraction)"
  • Cache results: Store results in data/wikidata/{country}/{timestamp}.json
  • Batch by country: Process countries in priority order (see enrich_institutions_wikidata_sparql.py)

6. Error Handling

import time
from SPARQLWrapper import SPARQLWrapper, SPARQLExceptions

def execute_sparql_with_retry(sparql, query, max_retries=3):
    for attempt in range(max_retries):
        try:
            sparql.setQuery(query)
            return sparql.query().convert()
        except SPARQLExceptions.EndPointInternalError:
            # 504 timeout - query too complex
            print(f"Timeout on attempt {attempt+1}, simplifying query...")
            time.sleep(5)
        except Exception as e:
            print(f"Error: {e}")
            if attempt < max_retries - 1:
                time.sleep(2 ** attempt)  # Exponential backoff
            else:
                raise
    return None

Storage Format

Save results to data/wikidata/{country}/{timestamp}.json:

{
  "country_code": "NL",
  "country_name": "Netherlands",
  "country_qid": "Q55",
  "extraction_date": "2025-11-11T10:30:00Z",
  "total_institutions": 1247,
  "institution_types": {
    "museum": 843,
    "library": 302,
    "archive": 78,
    "gallery": 24
  },
  "institutions": [
    {
      "wikidata_qid": "Q190804",
      "name": "Rijksmuseum",
      "description": "National museum of the Netherlands",
      "institution_type": "museum",
      "coordinates": {
        "latitude": 52.36,
        "longitude": 4.885
      },
      "identifiers": {
        "ISIL": "NL-AsdRM",
        "VIAF": "131375374",
        "website": "https://www.rijksmuseum.nl"
      },
      "location": {
        "city": "Amsterdam",
        "region": "North Holland",
        "country": "Netherlands"
      },
      "founding_date": "1800-01-01",
      "collection_size": 1000000
    }
  ]
}

Next Steps

  1. Create Python script (scripts/extract_global_wikidata.py) that:

    • Loads country list from this document
    • Executes generic SPARQL query for each country
    • Saves results to data/wikidata/{country}/{timestamp}.json
    • Tracks progress and errors

  2. Prioritize countries by:

    • Data quality (ISIL registry availability)
    • Institution count (larger datasets first)
    • Strategic importance (Netherlands, France, Germany, UK, US, Brazil, Japan)

  3. Convert to LinkML instances:

    • Parse JSON results
    • Map to HeritageCustodian schema
    • Generate GHCIDs
    • Add provenance metadata (data_source: WIKIDATA, data_tier: TIER_3_CROWD_SOURCED)

Version: 1.0
Last Updated: 2025-11-11
Maintained By: GLAM Data Extraction Project