A new resource for identifying and assessing the impacts of research View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Saba Hinrichs, Jonathan Grant

ABSTRACT

The impact case studies submitted by UK Higher Education Institutions to the Research Excellence Framework (REF) in 2014 provide a rich resource of text describing impact beyond academia and across all disciplines. Using text mining techniques and qualitative assessment, the 6,679 non-redacted case studies submitted were analysed and the impact described was found to be multidisciplinary, multi-impactful, and multinational. By digging deeper into the data, the health gains from health research in terms of Quality Adjusted Life Years was also estimated. Similar analyses are possible using these case studies, but will require the data to be 're-purposed' from the original intention (i.e., for assessment purposes) for robust analysis. More... »

PAGES

148

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12916-015-0364-x

DOI

http://dx.doi.org/10.1186/s12916-015-0364-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029854206

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26108576


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomedical Research", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Resources", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality-Adjusted Life Years", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "The Policy Institute at King\u2019s College London, 1st Floor, Virginia Woolf Building, 22 Kingsway, WC2B 6LE, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hinrichs", 
        "givenName": "Saba", 
        "id": "sg:person.014032400713.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014032400713.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "The Policy Institute at King\u2019s College London, 1st Floor, Virginia Woolf Building, 22 Kingsway, WC2B 6LE, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grant", 
        "givenName": "Jonathan", 
        "id": "sg:person.01055471415.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055471415.15"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "The impact case studies submitted by UK Higher Education Institutions to the Research Excellence Framework (REF) in 2014 provide a rich resource of text describing impact beyond academia and across all disciplines. Using text mining techniques and qualitative assessment, the 6,679 non-redacted case studies submitted were analysed and the impact described was found to be multidisciplinary, multi-impactful, and multinational. By digging deeper into the data, the health gains from health research in terms of Quality Adjusted Life Years was also estimated. Similar analyses are possible using these case studies, but will require the data to be 're-purposed' from the original intention (i.e., for assessment purposes) for robust analysis. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12916-015-0364-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1032885", 
        "issn": [
          "1741-7015"
        ], 
        "name": "BMC Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "name": "A new resource for identifying and assessing the impacts of research", 
    "pagination": "148", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8e390112f7795c1375e39f833aabee805758428be1da060e1fb84d7c4e1d1989"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26108576"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101190723"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12916-015-0364-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029854206"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12916-015-0364-x", 
      "https://app.dimensions.ai/details/publication/pub.1029854206"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:12", 
    "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/v90/0000000361_0000000361/records_53987_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fs12916-015-0364-x"
  }
]
 

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.10.1186/s12916-015-0364-x'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12916-015-0364-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12916-015-0364-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12916-015-0364-x'


 

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

96 TRIPLES      20 PREDICATES      34 URIs      26 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12916-015-0364-x schema:about N15e70bfd3e4b4ff58a56e006e174ecae
2 N38753e065b8b4f4f9ea4a2533cca3e33
3 N59dda4fbb03a4b7c9d4922063fb4487b
4 N6ebefbc79c7e4eafba3d08d5bdc8b9ca
5 Nc20b06bdd0a04e67aa1044cdb3ac6c9b
6 anzsrc-for:11
7 anzsrc-for:1117
8 schema:author N0e85936efce64f0b95fdff4746e80a96
9 schema:datePublished 2015-12
10 schema:datePublishedReg 2015-12-01
11 schema:description The impact case studies submitted by UK Higher Education Institutions to the Research Excellence Framework (REF) in 2014 provide a rich resource of text describing impact beyond academia and across all disciplines. Using text mining techniques and qualitative assessment, the 6,679 non-redacted case studies submitted were analysed and the impact described was found to be multidisciplinary, multi-impactful, and multinational. By digging deeper into the data, the health gains from health research in terms of Quality Adjusted Life Years was also estimated. Similar analyses are possible using these case studies, but will require the data to be 're-purposed' from the original intention (i.e., for assessment purposes) for robust analysis.
12 schema:genre research_article
13 schema:inLanguage en
14 schema:isAccessibleForFree true
15 schema:isPartOf N80f6d7a516c74240960635e4cc95e9ab
16 Na63ee73e76fe4c3c82926c44389aba55
17 sg:journal.1032885
18 schema:name A new resource for identifying and assessing the impacts of research
19 schema:pagination 148
20 schema:productId N33b8f827ff304930b9c985fdefa4995f
21 N3b620852152e4534bfed93fd2fbaa1f7
22 Na24112b911fe4f3cae39974433fc0784
23 Ne36cb360279c4a8aa1bb51f730ab5387
24 Ne71b7941c29646ae818eb638a955b0e9
25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029854206
26 https://doi.org/10.1186/s12916-015-0364-x
27 schema:sdDatePublished 2019-04-11T12:12
28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
29 schema:sdPublisher Nd199081c45f24e2db45bb449fd8d0b00
30 schema:url http://link.springer.com/10.1186%2Fs12916-015-0364-x
31 sgo:license sg:explorer/license/
32 sgo:sdDataset articles
33 rdf:type schema:ScholarlyArticle
34 N0e85936efce64f0b95fdff4746e80a96 rdf:first sg:person.014032400713.33
35 rdf:rest Ne726ea10794f4854a0257d30c15f2eb3
36 N15e70bfd3e4b4ff58a56e006e174ecae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
37 schema:name Health Resources
38 rdf:type schema:DefinedTerm
39 N33b8f827ff304930b9c985fdefa4995f schema:name dimensions_id
40 schema:value pub.1029854206
41 rdf:type schema:PropertyValue
42 N38753e065b8b4f4f9ea4a2533cca3e33 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
43 schema:name Case-Control Studies
44 rdf:type schema:DefinedTerm
45 N3b620852152e4534bfed93fd2fbaa1f7 schema:name pubmed_id
46 schema:value 26108576
47 rdf:type schema:PropertyValue
48 N59dda4fbb03a4b7c9d4922063fb4487b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
49 schema:name Humans
50 rdf:type schema:DefinedTerm
51 N6ebefbc79c7e4eafba3d08d5bdc8b9ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
52 schema:name Quality-Adjusted Life Years
53 rdf:type schema:DefinedTerm
54 N751a0019db6c497291bf4fc7c6f7f304 schema:name The Policy Institute at King’s College London, 1st Floor, Virginia Woolf Building, 22 Kingsway, WC2B 6LE, London, UK
55 rdf:type schema:Organization
56 N80f6d7a516c74240960635e4cc95e9ab schema:issueNumber 1
57 rdf:type schema:PublicationIssue
58 Na24112b911fe4f3cae39974433fc0784 schema:name nlm_unique_id
59 schema:value 101190723
60 rdf:type schema:PropertyValue
61 Na63ee73e76fe4c3c82926c44389aba55 schema:volumeNumber 13
62 rdf:type schema:PublicationVolume
63 Nc20b06bdd0a04e67aa1044cdb3ac6c9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Biomedical Research
65 rdf:type schema:DefinedTerm
66 Nd199081c45f24e2db45bb449fd8d0b00 schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 Nd3472e8f037640b18033d2668d917387 schema:name The Policy Institute at King’s College London, 1st Floor, Virginia Woolf Building, 22 Kingsway, WC2B 6LE, London, UK
69 rdf:type schema:Organization
70 Ne36cb360279c4a8aa1bb51f730ab5387 schema:name doi
71 schema:value 10.1186/s12916-015-0364-x
72 rdf:type schema:PropertyValue
73 Ne71b7941c29646ae818eb638a955b0e9 schema:name readcube_id
74 schema:value 8e390112f7795c1375e39f833aabee805758428be1da060e1fb84d7c4e1d1989
75 rdf:type schema:PropertyValue
76 Ne726ea10794f4854a0257d30c15f2eb3 rdf:first sg:person.01055471415.15
77 rdf:rest rdf:nil
78 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
79 schema:name Medical and Health Sciences
80 rdf:type schema:DefinedTerm
81 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
82 schema:name Public Health and Health Services
83 rdf:type schema:DefinedTerm
84 sg:journal.1032885 schema:issn 1741-7015
85 schema:name BMC Medicine
86 rdf:type schema:Periodical
87 sg:person.01055471415.15 schema:affiliation N751a0019db6c497291bf4fc7c6f7f304
88 schema:familyName Grant
89 schema:givenName Jonathan
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055471415.15
91 rdf:type schema:Person
92 sg:person.014032400713.33 schema:affiliation Nd3472e8f037640b18033d2668d917387
93 schema:familyName Hinrichs
94 schema:givenName Saba
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014032400713.33
96 rdf:type schema:Person
 




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


...