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        <titl xml:lang="sv">Consistency and validity of interdisciplinarity measures</titl>
        <parTitl xml:lang="en">Consistency and validity of interdisciplinarity measures</parTitl>
        <IDNo agency="SND">2024-272-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/05bd-fm03</IDNo>
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        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
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    <citation>
      <titlStmt>
        <titl xml:lang="sv">Consistency and validity of interdisciplinarity measures</titl>
        <parTitl xml:lang="en">Consistency and validity of interdisciplinarity measures</parTitl>
        <IDNo agency="SND">2024-272-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/05bd-fm03</IDNo>
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        <AuthEnty xml:lang="en" affiliation="Bibliometry, Royal Institute of Technology">Wang, Qi</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Bibliometri, Kungliga tekniska högskolan">Wang, Qi</AuthEnty>
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        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2019-08-08" />
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      <holdings URI="https://doi.org/10.5878/05bd-fm03">Landing page</holdings>
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        <keyword xml:lang="sv" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p27250">data</keyword>
        <keyword xml:lang="en" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p17836">information science</keyword>
        <keyword xml:lang="sv" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p17836">informationsvetenskap</keyword>
        <keyword xml:lang="en" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p11915">interdisciplinary research</keyword>
        <keyword xml:lang="sv" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p11915">tvärvetenskap</keyword>
      </subject>
      <abstract xml:lang="en" contentType="abstract">In this study, we present a systematic review of these interdisciplinarity measures and explore their inherent relations. We examine these measures in relation to the Web of Science journal subject categories.

The dataset consists of two Excel files, "Interdisciplinarity of 224 WoS SCs" and "Research areas".

The dataset was originally published in DiVA and moved to SND in 2024.</abstract>
      <abstract xml:lang="sv" contentType="abstract">In this study, we present a systematic review of these interdisciplinarity measures and explore their inherent relations. We examine these measures in relation to the Web of Science journal subject categories.

The dataset consists of two Excel files, "Interdisciplinarity of 224 WoS SCs" and "Research areas".

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.</abstract>
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