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Comparison of Document Data Bases.

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Title: Comparison of Document Data Bases.
Authors: Schipma, Peter B.1, Williams, Martha E.1, Shafton, Allan L.1
Source: Journal of the American Society for Information Science. Sep/Oct1971, Vol. 22 Issue 5, p326-332. 7p.
Subjects: Machine-readable bibliographic data, Bibliographic databases, Databases, Information science, Information retrieval, Information services
Abstract: This paper presents a detailed analysis of the content and format of seven machine-readable bibliographic data bases: Chemical Abstracts Service Condensates, Chemical and Biological Activities, and Polymer Science and Technology, Biosciences Information Service's BA Previews including Biological Abstracts and BioResearch Index, Institute for Science Information Source Tape, and Engineering Index COMPENDEX. Selected issue test tapes of each data base were printed and checked for the types of data that were contained in the issue and the methods in which the data were formatted. This paper compares the physical formats of the tapes and describes the varied treatments given to such data elements as authors, titles, abstracts, etc. Comparison of data bases requires common use of terms. All terms are defined at the beginning of the paper. The authors found great discrepancies in the presentation of essentially similar bibliographic data, and they offer some suggestions for mitigating the discrepancies by use of standards. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Comparison of Document Data Bases.
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  Data: <searchLink fieldCode="AR" term="%22Schipma%2C+Peter+B%2E%22">Schipma, Peter B.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Williams%2C+Martha+E%2E%22">Williams, Martha E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shafton%2C+Allan+L%2E%22">Shafton, Allan L.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science%22">Journal of the American Society for Information Science</searchLink>. Sep/Oct1971, Vol. 22 Issue 5, p326-332. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Machine-readable+bibliographic+data%22">Machine-readable bibliographic data</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliographic+databases%22">Bibliographic databases</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Information+services%22">Information services</searchLink>
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  Label: Abstract
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  Data: This paper presents a detailed analysis of the content and format of seven machine-readable bibliographic data bases: Chemical Abstracts Service Condensates, Chemical and Biological Activities, and Polymer Science and Technology, Biosciences Information Service's BA Previews including Biological Abstracts and BioResearch Index, Institute for Science Information Source Tape, and Engineering Index COMPENDEX. Selected issue test tapes of each data base were printed and checked for the types of data that were contained in the issue and the methods in which the data were formatted. This paper compares the physical formats of the tapes and describes the varied treatments given to such data elements as authors, titles, abstracts, etc. Comparison of data bases requires common use of terms. All terms are defined at the beginning of the paper. The authors found great discrepancies in the presentation of essentially similar bibliographic data, and they offer some suggestions for mitigating the discrepancies by use of standards. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/asi.4630220506
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 326
    Subjects:
      – SubjectFull: Machine-readable bibliographic data
        Type: general
      – SubjectFull: Bibliographic databases
        Type: general
      – SubjectFull: Databases
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      – SubjectFull: Information science
        Type: general
      – SubjectFull: Information retrieval
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      – SubjectFull: Information services
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      – TitleFull: Comparison of Document Data Bases.
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              M: 09
              Text: Sep/Oct1971
              Type: published
              Y: 1971
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