Interoperable and accessible census and survey data from IPUMS View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-02-27

AUTHORS

Tracy A. Kugler, Catherine A. Fitch

ABSTRACT

The first version of the Integrated Public Use Microdata Series (IPUMS) was released to users in 1993, and since that time IPUMS has come to stand for interoperable and accessible census and survey data. Initially created to harmonize U.S. census microdata over time, IPUMS now includes microdata from the U.S. and international censuses and from surveys on health, employment, and other topics. IPUMS also provides geo-spatial data, aggregate population data, and environmental data. IPUMS supports ten data products, each disseminating an integrated data collection with a set of tools that make complex data easy to find, access, and use. Key features are record-level integration to create interoperable datasets, user-friendly interfaces, and comprehensive metadata and documentation. The IPUMS philosophy aligns closely with the FAIR principles of findability, accessibility, interoperability, and re-usability. IPUMS data have catalyzed knowledge generation across a wide range of social science and other disciplines, as evidenced by the large volume of publications and other products created by the vast IPUMS user community. More... »

PAGES

180007

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sdata.2018.7

DOI

http://dx.doi.org/10.1038/sdata.2018.7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101236834

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29485621


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "University of Minnesota, IPUMS Center for Data Innovation, 225 19th Ave. S., 50 Willey Hall, Minneapolis, Minneapolis 55455, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kugler", 
        "givenName": "Tracy A.", 
        "id": "sg:person.015155564425.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015155564425.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "University of Minnesota, IPUMS Center for Data Innovation, 225 19th Ave. S., 50 Willey Hall, Minneapolis, Minneapolis 55455, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fitch", 
        "givenName": "Catherine A.", 
        "id": "sg:person.01251270424.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251270424.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.compenvurbsys.2016.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000369400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compenvurbsys.2016.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000369400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compenvurbsys.2016.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000369400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615449909598932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001275740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compenvurbsys.2016.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003771367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compenvurbsys.2016.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003771367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compenvurbsys.2016.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003771367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sdata.2016.18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005603549", 
          "https://doi.org/10.1038/sdata.2016.18"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sdata.2016.18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005603549", 
          "https://doi.org/10.1038/sdata.2016.18"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.2011.563228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011450344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.1995.9955311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012238222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615449909598931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016692786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.2010.515377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020165064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.2010.514849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020846815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615449909598934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021005098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440309601214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024161060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13524-013-0240-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025703811", 
          "https://doi.org/10.1007/s13524-013-0240-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615449909598936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026005562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440309601209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032942136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.1995.9955318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033813453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615449909598930", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034371300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.2011.564572", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036012558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.2010.517152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036133299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440309601218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036938323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.1995.9955314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040977975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01615440.2011.561778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050277364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15420353.2015.1036484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052528481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3366/hac.2002.14.1-2.213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071194490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079108976", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3233/jem-140388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079108976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3233/jem-140388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079108976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/dem.2014.6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079127224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079282321", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-02-27", 
    "datePublishedReg": "2018-02-27", 
    "description": "The first version of the Integrated Public Use Microdata Series (IPUMS) was released to users in 1993, and since that time IPUMS has come to stand for interoperable and accessible census and survey data. Initially created to harmonize U.S. census microdata over time, IPUMS now includes microdata from the U.S. and international censuses and from surveys on health, employment, and other topics. IPUMS also provides geo-spatial data, aggregate population data, and environmental data. IPUMS supports ten data products, each disseminating an integrated data collection with a set of tools that make complex data easy to find, access, and use. Key features are record-level integration to create interoperable datasets, user-friendly interfaces, and comprehensive metadata and documentation. The IPUMS philosophy aligns closely with the FAIR principles of findability, accessibility, interoperability, and re-usability. IPUMS data have catalyzed knowledge generation across a wide range of social science and other disciplines, as evidenced by the large volume of publications and other products created by the vast IPUMS user community.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sdata.2018.7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2527155", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2528703", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3487419", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2526864", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2527822", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6375909", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2528388", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2448967", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6377287", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3935959", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2528286", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2526784", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2527092", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3932859", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2528571", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2527543", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7057494", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3849547", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1050678", 
        "issn": [
          "2052-4463"
        ], 
        "name": "Scientific Data", 
        "type": "Periodical"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Interoperable and accessible census and survey data from IPUMS", 
    "pagination": "180007", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0160691677e3313a2ff3581df9f012333d48d6299341e92f1eb7c2efd5295108"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29485621"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101640192"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sdata.2018.7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101236834"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sdata.2018.7", 
      "https://app.dimensions.ai/details/publication/pub.1101236834"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:04", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000366_0000000366/records_112042_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/sdata20187"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/sdata.2018.7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/sdata.2018.7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sdata.2018.7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sdata.2018.7'


 

This table displays all metadata directly associated to this object as RDF triples.

189 TRIPLES      21 PREDICATES      54 URIs      19 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sdata.2018.7 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Nd4bc614f730d47ca98e37b6f28a99f06
4 schema:citation sg:pub.10.1007/s13524-013-0240-2
5 sg:pub.10.1038/sdata.2016.18
6 https://app.dimensions.ai/details/publication/pub.1079108976
7 https://app.dimensions.ai/details/publication/pub.1079282321
8 https://doi.org/10.1016/j.compenvurbsys.2016.07.007
9 https://doi.org/10.1016/j.compenvurbsys.2016.10.001
10 https://doi.org/10.1017/dem.2014.6
11 https://doi.org/10.1080/01615440.1995.9955311
12 https://doi.org/10.1080/01615440.1995.9955314
13 https://doi.org/10.1080/01615440.1995.9955318
14 https://doi.org/10.1080/01615440.2010.514849
15 https://doi.org/10.1080/01615440.2010.515377
16 https://doi.org/10.1080/01615440.2010.517152
17 https://doi.org/10.1080/01615440.2011.561778
18 https://doi.org/10.1080/01615440.2011.563228
19 https://doi.org/10.1080/01615440.2011.564572
20 https://doi.org/10.1080/01615440309601209
21 https://doi.org/10.1080/01615440309601214
22 https://doi.org/10.1080/01615440309601218
23 https://doi.org/10.1080/01615449909598930
24 https://doi.org/10.1080/01615449909598931
25 https://doi.org/10.1080/01615449909598932
26 https://doi.org/10.1080/01615449909598934
27 https://doi.org/10.1080/01615449909598936
28 https://doi.org/10.1080/15420353.2015.1036484
29 https://doi.org/10.3233/jem-140388
30 https://doi.org/10.3366/hac.2002.14.1-2.213
31 schema:datePublished 2018-02-27
32 schema:datePublishedReg 2018-02-27
33 schema:description The first version of the Integrated Public Use Microdata Series (IPUMS) was released to users in 1993, and since that time IPUMS has come to stand for interoperable and accessible census and survey data. Initially created to harmonize U.S. census microdata over time, IPUMS now includes microdata from the U.S. and international censuses and from surveys on health, employment, and other topics. IPUMS also provides geo-spatial data, aggregate population data, and environmental data. IPUMS supports ten data products, each disseminating an integrated data collection with a set of tools that make complex data easy to find, access, and use. Key features are record-level integration to create interoperable datasets, user-friendly interfaces, and comprehensive metadata and documentation. The IPUMS philosophy aligns closely with the FAIR principles of findability, accessibility, interoperability, and re-usability. IPUMS data have catalyzed knowledge generation across a wide range of social science and other disciplines, as evidenced by the large volume of publications and other products created by the vast IPUMS user community.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N550f58341eed4c8180907e67970e2c81
38 sg:journal.1050678
39 schema:name Interoperable and accessible census and survey data from IPUMS
40 schema:pagination 180007
41 schema:productId N2ebb73a7cb884f25b47da5ace393ec8f
42 N35687c30a26f4569a69954f5e59981b5
43 N6249c06aa80b4b4eb783924415aec950
44 N97fca82fd3fd4e758da523ef22f7ad42
45 Nfd94af8cb5184799aa10fcadfcbdc09b
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101236834
47 https://doi.org/10.1038/sdata.2018.7
48 schema:sdDatePublished 2019-04-11T13:04
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N35ec85528a124a18992d4c6e8f033433
51 schema:url https://www.nature.com/articles/sdata20187
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N2ebb73a7cb884f25b47da5ace393ec8f schema:name pubmed_id
56 schema:value 29485621
57 rdf:type schema:PropertyValue
58 N35687c30a26f4569a69954f5e59981b5 schema:name readcube_id
59 schema:value 0160691677e3313a2ff3581df9f012333d48d6299341e92f1eb7c2efd5295108
60 rdf:type schema:PropertyValue
61 N35ec85528a124a18992d4c6e8f033433 schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N550f58341eed4c8180907e67970e2c81 schema:volumeNumber 5
64 rdf:type schema:PublicationVolume
65 N6249c06aa80b4b4eb783924415aec950 schema:name doi
66 schema:value 10.1038/sdata.2018.7
67 rdf:type schema:PropertyValue
68 N97fca82fd3fd4e758da523ef22f7ad42 schema:name nlm_unique_id
69 schema:value 101640192
70 rdf:type schema:PropertyValue
71 Na21945b78a9b4ab39c05078eb2a9ed19 rdf:first sg:person.01251270424.22
72 rdf:rest rdf:nil
73 Nd4bc614f730d47ca98e37b6f28a99f06 rdf:first sg:person.015155564425.11
74 rdf:rest Na21945b78a9b4ab39c05078eb2a9ed19
75 Nfd94af8cb5184799aa10fcadfcbdc09b schema:name dimensions_id
76 schema:value pub.1101236834
77 rdf:type schema:PropertyValue
78 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
79 schema:name Information and Computing Sciences
80 rdf:type schema:DefinedTerm
81 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
82 schema:name Information Systems
83 rdf:type schema:DefinedTerm
84 sg:grant.2448967 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
85 rdf:type schema:MonetaryGrant
86 sg:grant.2526784 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
87 rdf:type schema:MonetaryGrant
88 sg:grant.2526864 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
89 rdf:type schema:MonetaryGrant
90 sg:grant.2527092 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
91 rdf:type schema:MonetaryGrant
92 sg:grant.2527155 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
93 rdf:type schema:MonetaryGrant
94 sg:grant.2527543 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
95 rdf:type schema:MonetaryGrant
96 sg:grant.2527822 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
97 rdf:type schema:MonetaryGrant
98 sg:grant.2528286 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
99 rdf:type schema:MonetaryGrant
100 sg:grant.2528388 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
101 rdf:type schema:MonetaryGrant
102 sg:grant.2528571 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
103 rdf:type schema:MonetaryGrant
104 sg:grant.2528703 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
105 rdf:type schema:MonetaryGrant
106 sg:grant.3487419 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
107 rdf:type schema:MonetaryGrant
108 sg:grant.3849547 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
109 rdf:type schema:MonetaryGrant
110 sg:grant.3932859 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
111 rdf:type schema:MonetaryGrant
112 sg:grant.3935959 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
113 rdf:type schema:MonetaryGrant
114 sg:grant.6375909 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
115 rdf:type schema:MonetaryGrant
116 sg:grant.6377287 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
117 rdf:type schema:MonetaryGrant
118 sg:grant.7057494 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2018.7
119 rdf:type schema:MonetaryGrant
120 sg:journal.1050678 schema:issn 2052-4463
121 schema:name Scientific Data
122 rdf:type schema:Periodical
123 sg:person.01251270424.22 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
124 schema:familyName Fitch
125 schema:givenName Catherine A.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251270424.22
127 rdf:type schema:Person
128 sg:person.015155564425.11 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
129 schema:familyName Kugler
130 schema:givenName Tracy A.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015155564425.11
132 rdf:type schema:Person
133 sg:pub.10.1007/s13524-013-0240-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025703811
134 https://doi.org/10.1007/s13524-013-0240-2
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/sdata.2016.18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005603549
137 https://doi.org/10.1038/sdata.2016.18
138 rdf:type schema:CreativeWork
139 https://app.dimensions.ai/details/publication/pub.1079108976 schema:CreativeWork
140 https://app.dimensions.ai/details/publication/pub.1079282321 schema:CreativeWork
141 https://doi.org/10.1016/j.compenvurbsys.2016.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000369400
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.compenvurbsys.2016.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003771367
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1017/dem.2014.6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079127224
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1080/01615440.1995.9955311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012238222
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1080/01615440.1995.9955314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040977975
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1080/01615440.1995.9955318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033813453
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1080/01615440.2010.514849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020846815
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1080/01615440.2010.515377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020165064
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1080/01615440.2010.517152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036133299
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1080/01615440.2011.561778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050277364
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1080/01615440.2011.563228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011450344
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1080/01615440.2011.564572 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036012558
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1080/01615440309601209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032942136
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1080/01615440309601214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024161060
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1080/01615440309601218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036938323
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1080/01615449909598930 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034371300
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1080/01615449909598931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016692786
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1080/01615449909598932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001275740
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1080/01615449909598934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021005098
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1080/01615449909598936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026005562
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1080/15420353.2015.1036484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052528481
182 rdf:type schema:CreativeWork
183 https://doi.org/10.3233/jem-140388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079108976
184 rdf:type schema:CreativeWork
185 https://doi.org/10.3366/hac.2002.14.1-2.213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071194490
186 rdf:type schema:CreativeWork
187 https://www.grid.ac/institutes/grid.17635.36 schema:alternateName University of Minnesota
188 schema:name University of Minnesota, IPUMS Center for Data Innovation, 225 19th Ave. S., 50 Willey Hall, Minneapolis, Minneapolis 55455, USA
189 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...