Digital Infrastructures for Scholarly Content Objects
As digital libraries make the dissemination of research publications easier, they also enable the propagation of invalid or unreliable knowledge. Examples of relevant problems include: retraction and inadvertent citation and reuse of retracted papers [1], [2]; propagation of errors in literature and...
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| Vydané v: | 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) s. 346 - 347 |
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| Hlavní autori: | , , , , , , |
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01.09.2021
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| Abstract | As digital libraries make the dissemination of research publications easier, they also enable the propagation of invalid or unreliable knowledge. Examples of relevant problems include: retraction and inadvertent citation and reuse of retracted papers [1], [2]; propagation of errors in literature and scientific databases [3], [4]; non-reproducible papers; known domain-specific issues such as cell line contamination [5]; bias in research datasets and publications [6]-[8]; systematic reviews that arrive at different conclusions about the same question at the same time [9], [10]. The digital environment facilitates broad interdisciplinary reuse beyond the originating scientific community; thus, marking known problems and tracing the impact on dependent and follow-on works is particularly important (but still under-addressed). Further, context-specific information inside a paper may not be immediately reusable when extracted by automated processes, leading to apparent contradictions [11]. Current mitigating approaches use the underlying reasoning for information retrieval [12], [13], develop new infrastructures analyzing the reasoning [14]-[16] or certainty [17] of statements, or use visualization to highlight possible discrepancies [10], [15]. |
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| AbstractList | As digital libraries make the dissemination of research publications easier, they also enable the propagation of invalid or unreliable knowledge. Examples of relevant problems include: retraction and inadvertent citation and reuse of retracted papers [1], [2]; propagation of errors in literature and scientific databases [3], [4]; non-reproducible papers; known domain-specific issues such as cell line contamination [5]; bias in research datasets and publications [6]-[8]; systematic reviews that arrive at different conclusions about the same question at the same time [9], [10]. The digital environment facilitates broad interdisciplinary reuse beyond the originating scientific community; thus, marking known problems and tracing the impact on dependent and follow-on works is particularly important (but still under-addressed). Further, context-specific information inside a paper may not be immediately reusable when extracted by automated processes, leading to apparent contradictions [11]. Current mitigating approaches use the underlying reasoning for information retrieval [12], [13], develop new infrastructures analyzing the reasoning [14]-[16] or certainty [17] of statements, or use visualization to highlight possible discrepancies [10], [15]. |
| Author | Schneider, Jodi Wang, Xiaoguang De Waard, Anita Balke, Wolf-Tilo Song, Ningyuan Fu, Yuanxi Hua, Bolin |
| Author_xml | – sequence: 1 givenname: Jodi surname: Schneider fullname: Schneider, Jodi email: jodi@illinois.edu organization: University of Illinois at Urbana-Champaign,School of Information Sciences,Champaign,IL,USA – sequence: 2 givenname: Anita surname: De Waard fullname: De Waard, Anita email: a.dewaard@elsevier.com organization: Research Collaboration Unit Elsevier,Jericho,VT,USA – sequence: 3 givenname: Wolf-Tilo surname: Balke fullname: Balke, Wolf-Tilo email: balke@ifis.cs.tu-bs.de organization: University of Braunschweig,Institute for Information Systems,Braunschweig,Germany – sequence: 4 givenname: Xiaoguang surname: Wang fullname: Wang, Xiaoguang email: wxguang@whu.edu.cn organization: Wuhan University,School of Information Management,Wuhan,China – sequence: 5 givenname: Ningyuan surname: Song fullname: Song, Ningyuan email: songny@nju.edu.cn organization: Nanjing University,School of Information Management,Nanjing,China – sequence: 6 givenname: Bolin surname: Hua fullname: Hua, Bolin email: huabolin@pku.edu.cn organization: Peking University,Department of Information Management,Beijing,China – sequence: 7 givenname: Yuanxi surname: Fu fullname: Fu, Yuanxi email: fu5@illinois.edu organization: University of Illinois at Urbana-Champaign,School of Information Sciences,Champaign,IL,USA |
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| Snippet | As digital libraries make the dissemination of research publications easier, they also enable the propagation of invalid or unreliable knowledge. Examples of... |
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| SubjectTerms | argumentation Cognition Data mining digital infrastructure fact checking Information retrieval innovation in publishing knowledge updates Libraries living documents metadata ontologies quality assessment quality assurance reproducibility robustness scholarly database curation scholarly knowledge graphs semantic publishing Systematics Visualization |
| Title | Digital Infrastructures for Scholarly Content Objects |
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