Pub Date : 2019-04-02DOI: 10.1080/19386389.2019.1589684
Amber Billey
Abstract Neutrality is a core tenet of librarianship, although it is widely accepted that cataloging is not a neutral act. In 1876, Charles Ammi Cutter outlined the model for a library catalog. That model remained largely unchanged for over 120 years; however the publication and adoption of Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD), and Functional Requirements for Subject Authority Data (FRSAD) by the international cataloging community in the late 1990s and early 2000s ushered in new models for organizing and describing bibliographic resources. Although the “FRBR Family” of models remains true to Cutter’s guiding principles at their core, they explicitly introduced specific attributes for describing bibliographic entity groups. In particular, FRAD greatly expanded the attributes to record about Persons, and these attributes were codified in the contemporary cataloging standard Resource Description and Access (RDA). As a result, catalogers now capture much more information about people in authority records than ever before. The contribution of all this new additional metadata into authority files has the potential to harm the actual people we are now cataloging by misidentifying or censoring information through cataloger bias or by capturing personally identifying information that could be used against the person. This has great ramifications in the linked data environment when the metadata is reused and can no longer be controlled by the individuals or institutions who created the original data. The risks are too great and we have yet to see the results in our discovery systems to rationalize adding so much personal information about people in library authority records. This paper argues that we should return to a simpler, pre-RDA authority record. However, the likelihood of changing RDA is slim, but we can adjust our cataloging practice to record only the most necessary information in authority records to curb catalog bias and insure personal data privacy for authors and contributors in our authority files.
{"title":"Just Because We Can, Doesn’t Mean We Should: An Argument for Simplicity and Data Privacy With Name Authority Work in the Linked Data Environment","authors":"Amber Billey","doi":"10.1080/19386389.2019.1589684","DOIUrl":"https://doi.org/10.1080/19386389.2019.1589684","url":null,"abstract":"Abstract Neutrality is a core tenet of librarianship, although it is widely accepted that cataloging is not a neutral act. In 1876, Charles Ammi Cutter outlined the model for a library catalog. That model remained largely unchanged for over 120 years; however the publication and adoption of Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD), and Functional Requirements for Subject Authority Data (FRSAD) by the international cataloging community in the late 1990s and early 2000s ushered in new models for organizing and describing bibliographic resources. Although the “FRBR Family” of models remains true to Cutter’s guiding principles at their core, they explicitly introduced specific attributes for describing bibliographic entity groups. In particular, FRAD greatly expanded the attributes to record about Persons, and these attributes were codified in the contemporary cataloging standard Resource Description and Access (RDA). As a result, catalogers now capture much more information about people in authority records than ever before. The contribution of all this new additional metadata into authority files has the potential to harm the actual people we are now cataloging by misidentifying or censoring information through cataloger bias or by capturing personally identifying information that could be used against the person. This has great ramifications in the linked data environment when the metadata is reused and can no longer be controlled by the individuals or institutions who created the original data. The risks are too great and we have yet to see the results in our discovery systems to rationalize adding so much personal information about people in library authority records. This paper argues that we should return to a simpler, pre-RDA authority record. However, the likelihood of changing RDA is slim, but we can adjust our cataloging practice to record only the most necessary information in authority records to curb catalog bias and insure personal data privacy for authors and contributors in our authority files.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"49 1","pages":"1 - 17"},"PeriodicalIF":0.0,"publicationDate":"2019-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81457703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-27DOI: 10.1080/19386389.2019.1590936
Moira Downey
Abstract Linked data solutions for name authority control in digital libraries are an area of growing interest, particularly among institutional repositories (IRs). This article first considers the shift from traditional authority files to author identifiers, highlighting some of the challenges and possibilities. An analysis of author name strings in Duke University's open access repository, DukeSpace, is conducted to identify a suitable source of author URIs for Duke's newly launched repository for research data. Does one of the three prominent international authority sources—Library of Congress Name Authority File (LCNAF), Virtual International Authority File (VIAF), and Open Researcher and Contributor Identifier (ORCID)—demonstrate the most comprehensive uptake? Finally, recommendations surrounding a technical approach to leveraging author Uniform Resource Identifiers (URIs) at Duke are briefly considered.
{"title":"Assessing Author Identifiers: Preparing for a Linked Data Approach to Name Authority Control in an Institutional Repository Context","authors":"Moira Downey","doi":"10.1080/19386389.2019.1590936","DOIUrl":"https://doi.org/10.1080/19386389.2019.1590936","url":null,"abstract":"Abstract Linked data solutions for name authority control in digital libraries are an area of growing interest, particularly among institutional repositories (IRs). This article first considers the shift from traditional authority files to author identifiers, highlighting some of the challenges and possibilities. An analysis of author name strings in Duke University's open access repository, DukeSpace, is conducted to identify a suitable source of author URIs for Duke's newly launched repository for research data. Does one of the three prominent international authority sources—Library of Congress Name Authority File (LCNAF), Virtual International Authority File (VIAF), and Open Researcher and Contributor Identifier (ORCID)—demonstrate the most comprehensive uptake? Finally, recommendations surrounding a technical approach to leveraging author Uniform Resource Identifiers (URIs) at Duke are briefly considered.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"28 1","pages":"117 - 136"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74767881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-02DOI: 10.1080/19386389.2018.1540328
Hannah Stitzlein, Myung-Ja K. Han, S. Benson
Abstract Describing copyright for cultural heritage objects in a rights statement can be a complicated undertaking when there is not enough information about the object. Similarly the complexity and misunderstanding of copyright law can lead to erroneous claims of copyright ownership when objects are digitized. These challenges are further compounded by confusingly written and poorly implemented rights information, leaving the user in doubt as to how they may interact with, or reuse a digital object. An audit of rights statements in the Illinois Digital Heritage Hub (IDHH) was performed to determine how standardized rights statements from RightsStatements.org can mitigate some of the issues surrounding information used in the rights field of metadata for digital objects. The audit highlighted common issues found throughout the digital object metadata harvested by the IDHH, which were then analyzed to understand how contributors use and apply the rights field. Possible solutions to these issues are included, such as copyright education and outreach programs that help contributing institutions understand copyright laws and the use of proper rights statements.
{"title":"Unraveling Challenges: Rights Statements in Digital Cultural Heritage Collections","authors":"Hannah Stitzlein, Myung-Ja K. Han, S. Benson","doi":"10.1080/19386389.2018.1540328","DOIUrl":"https://doi.org/10.1080/19386389.2018.1540328","url":null,"abstract":"Abstract Describing copyright for cultural heritage objects in a rights statement can be a complicated undertaking when there is not enough information about the object. Similarly the complexity and misunderstanding of copyright law can lead to erroneous claims of copyright ownership when objects are digitized. These challenges are further compounded by confusingly written and poorly implemented rights information, leaving the user in doubt as to how they may interact with, or reuse a digital object. An audit of rights statements in the Illinois Digital Heritage Hub (IDHH) was performed to determine how standardized rights statements from RightsStatements.org can mitigate some of the issues surrounding information used in the rights field of metadata for digital objects. The audit highlighted common issues found throughout the digital object metadata harvested by the IDHH, which were then analyzed to understand how contributors use and apply the rights field. Possible solutions to these issues are included, such as copyright education and outreach programs that help contributing institutions understand copyright laws and the use of proper rights statements.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"1 1","pages":"135 - 150"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82201367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-02DOI: 10.1080/19386389.2018.1549014
L. Romano
Abstract This study seeks to determine if libraries are displaying the content type, media type, carrier type (336/337/338) fields to the public in their library systems and if they are continuing to use (general material designator) GMDs in their records. It also examines how these new fields are labeled, what types of icons are used, and how specific these icons are. The largest 100 libraries in the United States are examined.
{"title":"Content, Media, and Carrier (336/337/338) Fields in the Public Display","authors":"L. Romano","doi":"10.1080/19386389.2018.1549014","DOIUrl":"https://doi.org/10.1080/19386389.2018.1549014","url":null,"abstract":"Abstract This study seeks to determine if libraries are displaying the content type, media type, carrier type (336/337/338) fields to the public in their library systems and if they are continuing to use (general material designator) GMDs in their records. It also examines how these new fields are labeled, what types of icons are used, and how specific these icons are. The largest 100 libraries in the United States are examined.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"6 1","pages":"151 - 170"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73069427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-02DOI: 10.1080/19386389.2018.1538610
Andrew Yates, Daniel S. Dotson, Stephanie J. Schulte, R. Ramnath
Abstract Methods that are both computationally feasible and practically effective are needed to make sense of big corpuses of content, or “big content.” For example, supervised categorization techniques for open-access academic publishing are ill-suited for automated categorization because they rely on an existing categorization scheme, but no supervised scheme can stay abreast of the rapidly evolving landscape of scholarly work. This problem also applies to any domain with very large document corpuses where no good categorization scheme exists. To address this challenge, we present an unsupervised method to fit a hierarchical categorization scheme to a corpus based on clustering the network of shared concepts in the corpus, or its “concept topology.” Our method potentially applies to any type of content, and it scales to large networks of millions of vertices. We have demonstrated the application of our method to a corpus of 1.5 million scholarly texts representing the majority of open access (OA) academic publications on the web, validating our results using expert librarian annotations. We have made our datasets openly accessible for research by others. We believe that our resulting categorization scheme best represents OA academic publishing as it exists today.
{"title":"Hierarchical Categorization of Big Content Using Concept Topology","authors":"Andrew Yates, Daniel S. Dotson, Stephanie J. Schulte, R. Ramnath","doi":"10.1080/19386389.2018.1538610","DOIUrl":"https://doi.org/10.1080/19386389.2018.1538610","url":null,"abstract":"Abstract Methods that are both computationally feasible and practically effective are needed to make sense of big corpuses of content, or “big content.” For example, supervised categorization techniques for open-access academic publishing are ill-suited for automated categorization because they rely on an existing categorization scheme, but no supervised scheme can stay abreast of the rapidly evolving landscape of scholarly work. This problem also applies to any domain with very large document corpuses where no good categorization scheme exists. To address this challenge, we present an unsupervised method to fit a hierarchical categorization scheme to a corpus based on clustering the network of shared concepts in the corpus, or its “concept topology.” Our method potentially applies to any type of content, and it scales to large networks of millions of vertices. We have demonstrated the application of our method to a corpus of 1.5 million scholarly texts representing the majority of open access (OA) academic publications on the web, validating our results using expert librarian annotations. We have made our datasets openly accessible for research by others. We believe that our resulting categorization scheme best represents OA academic publishing as it exists today.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"46 1","pages":"113 - 134"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79107566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-03DOI: 10.1080/19386389.2018.1489449
Samuel T. Barber
Abstract Experimental crowdsourced strategies pertaining to library resource description are becoming increasingly common. This research introduces the term “revolutionary cataloging interface” to describe the characteristics of crowdsourced metadata creation portals: capable of being learned during a 10–15 minute tutorial, requiring little or no previous cataloging experience, yet with demonstrated potential for producing robust and rich metadata with an impressive level of automated quality control. Focusing on a case study of Zooniverse’s Operation War Diary, this paper investigates, explains, and assesses the potential of such innovations to meet successfully the challenges posed by Hidden Collections.
与图书馆资源描述相关的实验性众包策略正变得越来越普遍。本研究引入了术语“革命性的编目界面”来描述众包元数据创建门户的特点:能够在10-15分钟的教程中学习，需要很少或不需要以前的编目经验，但具有产生强大而丰富的元数据的潜力，具有令人印象深刻的自动化质量控制水平。本文以《Zooniverse》的《Operation War Diary》为例，调查、解释并评估了这种创新的潜力，以成功应对《Hidden Collections》所带来的挑战。
{"title":"The ZOONIVERSE is Expanding: Crowdsourced Solutions to the Hidden Collections Problem and the Rise of the Revolutionary Cataloging Interface","authors":"Samuel T. Barber","doi":"10.1080/19386389.2018.1489449","DOIUrl":"https://doi.org/10.1080/19386389.2018.1489449","url":null,"abstract":"Abstract Experimental crowdsourced strategies pertaining to library resource description are becoming increasingly common. This research introduces the term “revolutionary cataloging interface” to describe the characteristics of crowdsourced metadata creation portals: capable of being learned during a 10–15 minute tutorial, requiring little or no previous cataloging experience, yet with demonstrated potential for producing robust and rich metadata with an impressive level of automated quality control. Focusing on a case study of Zooniverse’s Operation War Diary, this paper investigates, explains, and assesses the potential of such innovations to meet successfully the challenges posed by Hidden Collections.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"40 1","pages":"111 - 85"},"PeriodicalIF":0.0,"publicationDate":"2018-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80541019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-03DOI: 10.1080/19386389.2018.1486791
Lampron Patricia, Wacker Melanie
{"title":"Proposed Special Issue: Name Authority Work in the Linked Data Environment","authors":"Lampron Patricia, Wacker Melanie","doi":"10.1080/19386389.2018.1486791","DOIUrl":"https://doi.org/10.1080/19386389.2018.1486791","url":null,"abstract":"","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"8 1","pages":"57 - 58"},"PeriodicalIF":0.0,"publicationDate":"2018-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84850215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-03DOI: 10.1080/19386389.2018.1488561
Ayla Stein Kenfield, Elise Dunham
Abstract In Summer 2016, the Illinois Data Bank, the new data repository at the University of Illinois at Urbana-Champaign, was launched. This paper will cover the development of the repository’s metadata schema, including the team’s decisions in balancing external and internal stakeholder requirements, finding solutions to challenges both foreseen and not, as well as future plans.
2016年夏天，伊利诺伊大学厄巴纳-香槟分校(University of Illinois at Urbana-Champaign)的新数据存储库伊利诺伊数据库(Illinois Data Bank)启动。本文将涵盖存储库元数据模式的开发，包括团队在平衡外部和内部涉众需求方面的决策，寻找可预见和不可预见的挑战的解决方案，以及未来的计划。
{"title":"Meaningful Data Sharing: Developing the Illinois Data Bank Metadata Framework","authors":"Ayla Stein Kenfield, Elise Dunham","doi":"10.1080/19386389.2018.1488561","DOIUrl":"https://doi.org/10.1080/19386389.2018.1488561","url":null,"abstract":"Abstract In Summer 2016, the Illinois Data Bank, the new data repository at the University of Illinois at Urbana-Champaign, was launched. This paper will cover the development of the repository’s metadata schema, including the team’s decisions in balancing external and internal stakeholder requirements, finding solutions to challenges both foreseen and not, as well as future plans.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"55 1","pages":"59 - 83"},"PeriodicalIF":0.0,"publicationDate":"2018-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90900601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-01-02DOI: 10.1080/19386389.2018.1461177
K. Sharma, U. Marjit, U. Biswas
ABSTRACT In recent years, the library domain has been using semantic web technologies to enable the data-centric information that can be processed directly by machines. Attempts have been evolved for data transitioning from MAchine-Readable Cataloging (MARC) formats into the Resource Description Framework (RDF). Storing library data in RDF format enhances interlinking and reusing of the resources on the web. Moreover, the machine can interpret library resources meaningfully because of rich source of semantics. Existing approaches rely on the single-node environment but they fail when they meet the large volume of the input data. Some of the bibliographic records in MARC 21 formats are huge in size that traditional data-management tools become incapable during data processing and requires larger storage area. Such data need serious attention by the systems that can perform tasks in parallel. In this article, we propose a distributed approach to convert legacy library data into RDF format using Apache Spark and Hadoop. We describe the process of data conversion from MARC 21 formats for Bibliographic data into RDF and show preliminary reports on the processing speed and storage analysis. The performance of the conversion process is improved in terms of processing time and the storage size.
{"title":"MAchine Readable Cataloging to MAchine Understandable Data with Distributed Big Data Management","authors":"K. Sharma, U. Marjit, U. Biswas","doi":"10.1080/19386389.2018.1461177","DOIUrl":"https://doi.org/10.1080/19386389.2018.1461177","url":null,"abstract":"ABSTRACT In recent years, the library domain has been using semantic web technologies to enable the data-centric information that can be processed directly by machines. Attempts have been evolved for data transitioning from MAchine-Readable Cataloging (MARC) formats into the Resource Description Framework (RDF). Storing library data in RDF format enhances interlinking and reusing of the resources on the web. Moreover, the machine can interpret library resources meaningfully because of rich source of semantics. Existing approaches rely on the single-node environment but they fail when they meet the large volume of the input data. Some of the bibliographic records in MARC 21 formats are huge in size that traditional data-management tools become incapable during data processing and requires larger storage area. Such data need serious attention by the systems that can perform tasks in parallel. In this article, we propose a distributed approach to convert legacy library data into RDF format using Apache Spark and Hadoop. We describe the process of data conversion from MARC 21 formats for Bibliographic data into RDF and show preliminary reports on the processing speed and storage analysis. The performance of the conversion process is improved in terms of processing time and the storage size.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"61 1","pages":"13 - 29"},"PeriodicalIF":0.0,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86040926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-01-02DOI: 10.1080/19386389.2018.1461455
Erik Radio
ABSTRACT Descriptive metadata is affected by the challenge of using language that is resilient to semantic transformation over time. Yet, part of this is directly related to a bibliographic rift between abstract and concrete elements. By exploring the materiality of information objects and how descriptive values are subsequently derived, ideological formations and their impact become apparent. An examination of the origins of abstract elements demonstrates their identitarian tendencies and the effect on conceptual organization. Alternatives offered by negative dialectics and critical realism are explored toward a different model of information organization and retrieval.
{"title":"Abstraction, Concrescence, and Identity in Descriptive Metadata","authors":"Erik Radio","doi":"10.1080/19386389.2018.1461455","DOIUrl":"https://doi.org/10.1080/19386389.2018.1461455","url":null,"abstract":"ABSTRACT Descriptive metadata is affected by the challenge of using language that is resilient to semantic transformation over time. Yet, part of this is directly related to a bibliographic rift between abstract and concrete elements. By exploring the materiality of information objects and how descriptive values are subsequently derived, ideological formations and their impact become apparent. An examination of the origins of abstract elements demonstrates their identitarian tendencies and the effect on conceptual organization. Alternatives offered by negative dialectics and critical realism are explored toward a different model of information organization and retrieval.","PeriodicalId":39057,"journal":{"name":"Journal of Library Metadata","volume":"10 1","pages":"31 - 44"},"PeriodicalIF":0.0,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76397280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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