Objectivity versus relevance in studies of scientific advance View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1978-09

AUTHORS

F. Narin

ABSTRACT

A conceptual framework is suggested within which various techniques for studying scientific advance may be viewed. The two axes arerelevance of the technique to a “true” measure of the rate of scientific advance, versusobjectivity of the technique. It is suggested that a situation exists somewhat analogous to the Heisenberg uncertainty, principle; the most objective technique, a simple publication count, is the least relevant to a true measure of scientific advance, while the most relevant technique, interviews with an eminent and knowledgeable scientist in the field, is the least objective. Between these two extremes lie a group of scientometric techniques which should be capable of producing analyses which are both satisfactorilly relevant and satisfactorily objective. More... »

PAGES

35-41

Journal

TITLE

Scientometrics

ISSUE

1

VOLUME

1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02016838

DOI

http://dx.doi.org/10.1007/bf02016838

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048747478


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/2008/1402", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Computer Horizons, Inc., 1050 Kings Highway North, 08034, Cherry Hill, New Jersey, (USA)"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Narin", 
        "givenName": "F.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/asi.4630240406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014058264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0306-4573(76)90048-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024419606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/asi.4630270104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044388299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/asi.4630260203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049376966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.122.3159.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062466125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.769161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062648426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/030631277400400102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063809934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/030631277400400102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063809934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21236/ad0642400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091882753"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1978-09", 
    "datePublishedReg": "1978-09-01", 
    "description": "A conceptual framework is suggested within which various techniques for studying scientific advance may be viewed. The two axes arerelevance of the technique to a \u201ctrue\u201d measure of the rate of scientific advance, versusobjectivity of the technique. It is suggested that a situation exists somewhat analogous to the Heisenberg uncertainty, principle; the most objective technique, a simple publication count, is the least relevant to a true measure of scientific advance, while the most relevant technique, interviews with an eminent and knowledgeable scientist in the field, is the least objective. Between these two extremes lie a group of scientometric techniques which should be capable of producing analyses which are both satisfactorilly relevant and satisfactorily objective.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02016838", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1089056", 
        "issn": [
          "0138-9130", 
          "1588-2861"
        ], 
        "name": "Scientometrics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "1"
      }
    ], 
    "name": "Objectivity versus relevance in studies of scientific advance", 
    "pagination": "35-41", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e83940ff55561b9e1dfb8b02323ead416b99d6f6236b4edde428221285b073ef"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02016838"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048747478"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02016838", 
      "https://app.dimensions.ai/details/publication/pub.1048747478"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:25", 
    "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/v90/0000000356_0000000356/records_57865_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF02016838"
  }
]
 

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.10.1007/bf02016838'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf02016838'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02016838'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02016838'


 

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

83 TRIPLES      21 PREDICATES      35 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02016838 schema:about anzsrc-for:14
2 anzsrc-for:1402
3 schema:author Nd4012d72d0b7431196d12577759643a0
4 schema:citation https://doi.org/10.1002/asi.4630240406
5 https://doi.org/10.1002/asi.4630260203
6 https://doi.org/10.1002/asi.4630270104
7 https://doi.org/10.1016/0306-4573(76)90048-0
8 https://doi.org/10.1126/science.122.3159.108
9 https://doi.org/10.1126/science.769161
10 https://doi.org/10.1177/030631277400400102
11 https://doi.org/10.21236/ad0642400
12 schema:datePublished 1978-09
13 schema:datePublishedReg 1978-09-01
14 schema:description A conceptual framework is suggested within which various techniques for studying scientific advance may be viewed. The two axes arerelevance of the technique to a “true” measure of the rate of scientific advance, versusobjectivity of the technique. It is suggested that a situation exists somewhat analogous to the Heisenberg uncertainty, principle; the most objective technique, a simple publication count, is the least relevant to a true measure of scientific advance, while the most relevant technique, interviews with an eminent and knowledgeable scientist in the field, is the least objective. Between these two extremes lie a group of scientometric techniques which should be capable of producing analyses which are both satisfactorilly relevant and satisfactorily objective.
15 schema:genre research_article
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf N8d6193fcf74a49969e1b3b018e644c96
19 Nf6de0d0117c743e3a150770e8a8ae6d5
20 sg:journal.1089056
21 schema:name Objectivity versus relevance in studies of scientific advance
22 schema:pagination 35-41
23 schema:productId N3dd6ce201ad648409b0774057d708467
24 N7b9608d87fde4bff80fc8e4679901854
25 Nd90a029f572b45bda08ef180f0be5b31
26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048747478
27 https://doi.org/10.1007/bf02016838
28 schema:sdDatePublished 2019-04-11T11:25
29 schema:sdLicense https://scigraph.springernature.com/explorer/license/
30 schema:sdPublisher Nf76142b4b0fe4b9b8b6cd6181730091e
31 schema:url http://link.springer.com/10.1007/BF02016838
32 sgo:license sg:explorer/license/
33 sgo:sdDataset articles
34 rdf:type schema:ScholarlyArticle
35 N3dd6ce201ad648409b0774057d708467 schema:name doi
36 schema:value 10.1007/bf02016838
37 rdf:type schema:PropertyValue
38 N684bd709d7aa42cabee51654fb44c167 schema:name Computer Horizons, Inc., 1050 Kings Highway North, 08034, Cherry Hill, New Jersey, (USA)
39 rdf:type schema:Organization
40 N7b9608d87fde4bff80fc8e4679901854 schema:name readcube_id
41 schema:value e83940ff55561b9e1dfb8b02323ead416b99d6f6236b4edde428221285b073ef
42 rdf:type schema:PropertyValue
43 N8d6193fcf74a49969e1b3b018e644c96 schema:volumeNumber 1
44 rdf:type schema:PublicationVolume
45 Na1e468dba5b6415c9186e2ea77f9cf30 schema:affiliation N684bd709d7aa42cabee51654fb44c167
46 schema:familyName Narin
47 schema:givenName F.
48 rdf:type schema:Person
49 Nd4012d72d0b7431196d12577759643a0 rdf:first Na1e468dba5b6415c9186e2ea77f9cf30
50 rdf:rest rdf:nil
51 Nd90a029f572b45bda08ef180f0be5b31 schema:name dimensions_id
52 schema:value pub.1048747478
53 rdf:type schema:PropertyValue
54 Nf6de0d0117c743e3a150770e8a8ae6d5 schema:issueNumber 1
55 rdf:type schema:PublicationIssue
56 Nf76142b4b0fe4b9b8b6cd6181730091e schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
59 schema:name Economics
60 rdf:type schema:DefinedTerm
61 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
62 schema:name Applied Economics
63 rdf:type schema:DefinedTerm
64 sg:journal.1089056 schema:issn 0138-9130
65 1588-2861
66 schema:name Scientometrics
67 rdf:type schema:Periodical
68 https://doi.org/10.1002/asi.4630240406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014058264
69 rdf:type schema:CreativeWork
70 https://doi.org/10.1002/asi.4630260203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049376966
71 rdf:type schema:CreativeWork
72 https://doi.org/10.1002/asi.4630270104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044388299
73 rdf:type schema:CreativeWork
74 https://doi.org/10.1016/0306-4573(76)90048-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024419606
75 rdf:type schema:CreativeWork
76 https://doi.org/10.1126/science.122.3159.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062466125
77 rdf:type schema:CreativeWork
78 https://doi.org/10.1126/science.769161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062648426
79 rdf:type schema:CreativeWork
80 https://doi.org/10.1177/030631277400400102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063809934
81 rdf:type schema:CreativeWork
82 https://doi.org/10.21236/ad0642400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091882753
83 rdf:type schema:CreativeWork
 




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


...