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There is an extensive scientometric literature on indicators of interdisciplinarity, novelty, and other related concepts. However, the level of agreement among the various indicators introduced in the literature turns out to be low [@wang2020]. This appears to be the result of both different understandings of the concepts such as interdisciplinarity and novelty and different approaches to operationalize these concepts [@fontana_new_2020]. Given the lack of agreement on how to understand and operationalize the concepts of interdisciplinarity and novelty, we advise against the use of scientometric indicators of interdisciplinarity and novelty, and we consequently do not describe any such indicators. For further discussion, including alternative approaches to 'measure' interdisciplinarity, we refer to [@ràfols2020].
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note = {Publisher: MDPI}
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@article{fontana_new_2020,
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title = {New and atypical combinations: {An} assessment of novelty and interdisciplinarity},
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volume = {49},
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issn = {0048-7333},
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doi = {10.1016/j.respol.2020.104063},
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number = {7},
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journal = {Res. Policy},
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author = {Fontana, Magda and Iori, Martina and Montobbio, Fabio and Sinatra, Roberta},
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month = sep,
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year = {2020},
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pages = {104063}
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}
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@article{forsell2019,
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title = {Predicting replication outcomes in the Many Labs 2 study},
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author = {Forsell, Eskil and Viganola, Domenico and Pfeiffer, Thomas and Almenberg, Johan and Wilson, Brad and Chen, Yiling and Nosek, Brian A. and Johannesson, Magnus and Dreber, Anna},
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doi = {10.48550/arXiv.2209.00693}
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@inproceedings{jackson2016,
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title = {CSCW '16: Computer Supported Cooperative Work and Social Computing},
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author = {Jackson, Corey and {Østerlund}, Carsten and Maidel, Veronica and Crowston, Kevin and Mugar, Gabriel},
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langid = {en}
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@inproceedings{jacob2019,
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title = {FAIR principles, an new opportunity to improve the data lifecycle},
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author = {Jacob, Daniel},
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note = {Publisher: The University of Chicago Press}
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