There are many items in Wikidata representing scholarly articles. However, these items have been created mostly by volunteer Wikidata editors and not systematically by journal publishers or editors, which can lead to gaps and inconsistencies in the datasets. This article presents findings from a survey investigating practices of library and information studies (LIS) journals in Wikidata item creation. Believing that a significant number of LIS journal editors would be aware of Wikidata and some would be creating Wikidata items for their publications, the authors sent a survey asking 138 English-language LIS journal editors if they created Wikidata items for materials published in their journal and follow-up questions. With a response rate of 41 percent, respondents overwhelmingly indicated that they did not create Wikidata items for materials published in their journal and were completely unaware of or only somewhat familiar with Wikidata. Respondents indicated that more familiarity with Wikidata and its benefits for scholarly journals as well as institutional support for the creation of Wikidata items could lead to greater participation; however, a campaign of education about Wikidata, documentation of benefits, and support for creation would be a necessary first step. The article presents and discusses the results of the survey, but the conclusions that can be drawn are minimal; therefore, the authors also discuss the benefits of creating Wikidata items for LIS journals as a first step in this educational campaign for editors and publishers.
{"title":"LIS Journals’ Lack of Participation in Wikidata Item Creation","authors":"Eric Willey, Susan Radovsky","doi":"10.18357/kula.247","DOIUrl":"https://doi.org/10.18357/kula.247","url":null,"abstract":"There are many items in Wikidata representing scholarly articles. However, these items have been created mostly by volunteer Wikidata editors and not systematically by journal publishers or editors, which can lead to gaps and inconsistencies in the datasets. This article presents findings from a survey investigating practices of library and information studies (LIS) journals in Wikidata item creation. Believing that a significant number of LIS journal editors would be aware of Wikidata and some would be creating Wikidata items for their publications, the authors sent a survey asking 138 English-language LIS journal editors if they created Wikidata items for materials published in their journal and follow-up questions. With a response rate of 41 percent, respondents overwhelmingly indicated that they did not create Wikidata items for materials published in their journal and were completely unaware of or only somewhat familiar with Wikidata. Respondents indicated that more familiarity with Wikidata and its benefits for scholarly journals as well as institutional support for the creation of Wikidata items could lead to greater participation; however, a campaign of education about Wikidata, documentation of benefits, and support for creation would be a necessary first step. The article presents and discusses the results of the survey, but the conclusions that can be drawn are minimal; therefore, the authors also discuss the benefits of creating Wikidata items for LIS journals as a first step in this educational campaign for editors and publishers.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139390744","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}
Michigan State University (MSU) is home to one of the largest library comics collections in North America, holding over three hundred thousand print comic book titles and artifacts. Inspired by the interdisciplinary opportunity offered by digital humanities practice, a research collaborative linked to the MSU Library Digital Scholarship Lab (DSL) developed a Collections as Data project focused on the Comic Art Collection. This team extracted and cleaned over forty-five thousand MARC records describing comics published in Canada, Mexico, and the United States. The dataset is openly available through a GitLab repository, where the team has shared data visualizations so that scholars and members of the public can explore and interrogate this unique collection. In order to bridge digital humanities with the popular culture legacy ofthe institution, the MSU comics community turned to bibliographic metadata as a new way to leverage the collection for scholarly analysis. In October 2020, the Department of English Graphic Possibilities Research Workshop gathered a group of scholars, librarians, Wikidatians, and enthusiasts for a virtual Wikidata edit-a-thon. This project report will present this event as a case study to discuss how linked open metadata may be used to create knowledge and how community knowledge can, in turn, enrich metadata. We explore not only how our participants utilized the open-access tool Mix’n’match to connect the Comic Art Collection dataset to Wikidata and increase awareness of lesser-known authors and regional publishers missing from OCLC and Library of Congress databases, but how the knowledge of this community in turn revealed issues of authority control.
密歇根州立大学(MSU)是北美最大的漫画图书馆之一，拥有超过30万册印刷漫画书和文物。受数字人文学科实践提供的跨学科机会的启发，与密歇根州立大学图书馆数字奖学金实验室(DSL)相关联的一个研究合作开发了一个专注于漫画艺术收藏的集合数据项目。这个小组提取并清理了45,000多条MARC记录，这些记录描述了在加拿大、墨西哥和美国出版的漫画。数据集通过GitLab存储库公开提供，团队在其中共享数据可视化，以便学者和公众可以探索和询问这个独特的集合。为了将数字人文与该机构的流行文化遗产联系起来，密歇根州立大学漫画社区转向书目元数据，将其作为一种利用馆藏进行学术分析的新方法。2020年10月，英语图形可能性研究研讨会的部门聚集了一群学者、图书馆员、维基人和爱好者，进行了一场虚拟的维基数据编辑马拉松。本项目报告将把这一事件作为案例研究，讨论如何使用链接的开放元数据来创建知识，以及社区知识如何反过来丰富元数据。我们不仅探讨了参与者如何利用开放获取工具Mix 'n 'match将漫画艺术收藏数据集连接到维基数据，并提高OCLC和国会图书馆数据库中缺少的鲜为人知的作者和地区出版商的意识，还探讨了这个社区的知识如何反过来揭示了权威控制问题。
{"title":"The Marmaduke Problem","authors":"Kate Topham, J. Chambliss, Justin Wigard, N. Huff","doi":"10.18357/kula.225","DOIUrl":"https://doi.org/10.18357/kula.225","url":null,"abstract":"Michigan State University (MSU) is home to one of the largest library comics collections in North America, holding over three hundred thousand print comic book titles and artifacts. Inspired by the interdisciplinary opportunity offered by digital humanities practice, a research collaborative linked to the MSU Library Digital Scholarship Lab (DSL) developed a Collections as Data project focused on the Comic Art Collection. This team extracted and cleaned over forty-five thousand MARC records describing comics published in Canada, Mexico, and the United States. The dataset is openly available through a GitLab repository, where the team has shared data visualizations so that scholars and members of the public can explore and interrogate this unique collection. In order to bridge digital humanities with the popular culture legacy ofthe institution, the MSU comics community turned to bibliographic metadata as a new way to leverage the collection for scholarly analysis. In October 2020, the Department of English Graphic Possibilities Research Workshop gathered a group of scholars, librarians, Wikidatians, and enthusiasts for a virtual Wikidata edit-a-thon. This project report will present this event as a case study to discuss how linked open metadata may be used to create knowledge and how community knowledge can, in turn, enrich metadata. We explore not only how our participants utilized the open-access tool Mix’n’match to connect the Comic Art Collection dataset to Wikidata and increase awareness of lesser-known authors and regional publishers missing from OCLC and Library of Congress databases, but how the knowledge of this community in turn revealed issues of authority control.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124837759","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}
M. Lemus-Rojas, J. Odell, Lucille Frances Brys, Mirian Ramirez Rojas
In this article, the authors share the different methods and tools utilized for supporting the Scholarly Profiles as Service (SPaS) model at Indiana University–Purdue University Indianapolis (IUPUI). Leveraging Wikidata to build a scholarly profile service aligns with interests in supporting open knowledge and provides opportunities to address information inequities. The article accounts for the authors' decision to focus first on profiles for women scholars at the university and provides a detailed case study of how these profiles are created. By describing the processes of delivering the service, the authors hope to inspire other academic libraries to work toward establishing stronger open data connections between academic institutions, their scholars, and their scholars' publications.
{"title":"Leveraging Wikidata to Build Scholarly Profiles as Service","authors":"M. Lemus-Rojas, J. Odell, Lucille Frances Brys, Mirian Ramirez Rojas","doi":"10.18357/kula.171","DOIUrl":"https://doi.org/10.18357/kula.171","url":null,"abstract":"In this article, the authors share the different methods and tools utilized for supporting the Scholarly Profiles as Service (SPaS) model at Indiana University–Purdue University Indianapolis (IUPUI). Leveraging Wikidata to build a scholarly profile service aligns with interests in supporting open knowledge and provides opportunities to address information inequities. The article accounts for the authors' decision to focus first on profiles for women scholars at the university and provides a detailed case study of how these profiles are created. By describing the processes of delivering the service, the authors hope to inspire other academic libraries to work toward establishing stronger open data connections between academic institutions, their scholars, and their scholars' publications.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840395","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}
When metadata becomes knowledge, opportunities for multiplicity and risks of harm and exclusion arise. As GLAM institutions contribute to the Semantic Web, we must pay attention to the implications of participation. While the Semantic Web grew out of the flourishing of web technologies in the 1990s, recognizing its roots in classical/symbolic AI (referred to as Good Old Fashioned Artificial Intelligence, or GOFAI)—in particular, expert systems and knowledge representation—encourages critical questions like: which problems from knowledge representation and expert systems does the Semantic Web inherit? Are GOFAI failures really failures, or does the gap between rhetoric and practice point to generative possibilities (some of which can now be seen in Semantic Web initiatives)? What can we learn from AI critics, feminist approaches, and the unmasking of encyclopedic neutrality? This research article will explore how critiques of AI expert systems and Cyc, an ongoing project to create a common sense knowledge base, might apply to Semantic Webefforts like Wikipedia, Wikidata, DBpedia, and Schema.org.
{"title":"Semantic Encyclopedias and Boolean Dreams","authors":"A. Provo","doi":"10.18357/kula.155","DOIUrl":"https://doi.org/10.18357/kula.155","url":null,"abstract":"When metadata becomes knowledge, opportunities for multiplicity and risks of harm and exclusion arise. As GLAM institutions contribute to the Semantic Web, we must pay attention to the implications of participation. While the Semantic Web grew out of the flourishing of web technologies in the 1990s, recognizing its roots in classical/symbolic AI (referred to as Good Old Fashioned Artificial Intelligence, or GOFAI)—in particular, expert systems and knowledge representation—encourages critical questions like: which problems from knowledge representation and expert systems does the Semantic Web inherit? Are GOFAI failures really failures, or does the gap between rhetoric and practice point to generative possibilities (some of which can now be seen in Semantic Web initiatives)? What can we learn from AI critics, feminist approaches, and the unmasking of encyclopedic neutrality? This research article will explore how critiques of AI expert systems and Cyc, an ongoing project to create a common sense knowledge base, might apply to Semantic Webefforts like Wikipedia, Wikidata, DBpedia, and Schema.org.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123163726","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}
Huda J. Khan, Claire DeMarco, Christine Fernsebner Eslao, Steven Folsom, Jason Kovari, Simeon Warner, Tim Worrall, Astrid Usong
Our research explores how linked data sources and non-library metadata can support open-ended discovery of library resources. We also consider which experimental methods are best suited to the improvement of library catalog systems. We provide an overview of the questions driving our discovery experiments with linked data, a summary of some of our usability findings, as well as our design and implementation approach. In addition, we situate the discussion of our work within the larger framework of library cataloging and curation practices.
{"title":"Using Linked Data Sources to Enhance Catalog Discovery","authors":"Huda J. Khan, Claire DeMarco, Christine Fernsebner Eslao, Steven Folsom, Jason Kovari, Simeon Warner, Tim Worrall, Astrid Usong","doi":"10.18357/kula.229","DOIUrl":"https://doi.org/10.18357/kula.229","url":null,"abstract":"Our research explores how linked data sources and non-library metadata can support open-ended discovery of library resources. We also consider which experimental methods are best suited to the improvement of library catalog systems. We provide an overview of the questions driving our discovery experiments with linked data, a summary of some of our usability findings, as well as our design and implementation approach. In addition, we situate the discussion of our work within the larger framework of library cataloging and curation practices.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115438086","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}
Lisa Börjesson, Olle Sköld, Zanna Friberg, Daniel Löwenborg, G. Pálsson, Isto Huvila
Although data reusers request information about how research data was created and curated, this information is often non-existent or only briefly covered in data descriptions. The need for such contextual information is particularly critical in fields like archaeology, where old legacy data created during different time periods and through varying methodological framings and fieldwork documentation practices retains its value as an important information source. This article explores the presence of contextual information in archaeological data with a specific focus on data provenance and processing information, i.e., paradata. The purpose of the article is to identify and explicate types of paradata in field observation documentation. The method used is an explorative close reading of field data from an archaeological excavation enriched with geographical metadata. The analysis covers technical and epistemological challenges and opportunities in paradata identification, and discusses the possibility of using identified paradata in data descriptions and for data reliability assessments. Results show that it is possible to identify both knowledge organisation paradata (KOP) relating to data structuring and knowledge-making paradata (KMP) relating to fieldwork methods and interpretative processes. However, while the data contains many traces of the research process, there is an uneven and, in some categories, low level of structure and systematicity that complicates automated metadata and paradata identification and extraction. The results show a need to broaden the understanding of how structure and systematicity are used and how they impact research data in archaeology and in comparable field sciences. The insights into how a dataset’s KOP and KMP can be read is also a methodological contribution to data literacy research and practice development. On a repository level, the results underline the need to include paradata about dataset creation, purpose, terminology, dataset internal and external relations, and eventual data colloquialisms that require explanation to reusers.
{"title":"Re-purposing Excavation Database Content as Paradata","authors":"Lisa Börjesson, Olle Sköld, Zanna Friberg, Daniel Löwenborg, G. Pálsson, Isto Huvila","doi":"10.18357/kula.221","DOIUrl":"https://doi.org/10.18357/kula.221","url":null,"abstract":"Although data reusers request information about how research data was created and curated, this information is often non-existent or only briefly covered in data descriptions. The need for such contextual information is particularly critical in fields like archaeology, where old legacy data created during different time periods and through varying methodological framings and fieldwork documentation practices retains its value as an important information source. This article explores the presence of contextual information in archaeological data with a specific focus on data provenance and processing information, i.e., paradata. The purpose of the article is to identify and explicate types of paradata in field observation documentation. The method used is an explorative close reading of field data from an archaeological excavation enriched with geographical metadata. The analysis covers technical and epistemological challenges and opportunities in paradata identification, and discusses the possibility of using identified paradata in data descriptions and for data reliability assessments. Results show that it is possible to identify both knowledge organisation paradata (KOP) relating to data structuring and knowledge-making paradata (KMP) relating to fieldwork methods and interpretative processes. However, while the data contains many traces of the research process, there is an uneven and, in some categories, low level of structure and systematicity that complicates automated metadata and paradata identification and extraction. The results show a need to broaden the understanding of how structure and systematicity are used and how they impact research data in archaeology and in comparable field sciences. The insights into how a dataset’s KOP and KMP can be read is also a methodological contribution to data literacy research and practice development. On a repository level, the results underline the need to include paradata about dataset creation, purpose, terminology, dataset internal and external relations, and eventual data colloquialisms that require explanation to reusers.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116954089","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}
Erin Canning, Susan Brown, Sarah Roger, Kim Martin
Information systems are developed by people with intent—they are designed to help creators and users tell specific stories with data. Within information systems, the often invisible structures of metadata profoundly impact the meaning that can be derived from that data. The Linked Infrastructure for Networked Cultural Scholarship project (LINCS) helps humanities researchers tell stories by using linked open data to convert humanities datasets into organized, interconnected, machine-processable resources. LINCS provides context for online cultural materials, interlinks them, andgrounds them in sources to improve web resources for research. This article describes how the LINCS team is using the shared standards of linked data and especially ontologies—typically unseen yet powerful—to bring meaning mindfully to metadata through structure. The LINCS metadata—comprised of linked open data about cultural artifacts, people, and processes—and the structures that support it must represent multiple, diverse ways of knowing. It needs to enable various means of incorporating contextual data and of telling stories with nuance and context, situated and supported by data structures that reflect and make space for specificities and complexities. As it addresses specificity in each research dataset, LINCS is simultaneously working to balance interoperability, as achieved through a level of generalization, with contextual and domain-specific requirements. The LINCS team’s approach to ontology adoption and use centers on intersectionality, multiplicity, and difference. The question of what meaning the structures being used will bring to the data is as important as what meaning is introduced as a result of linking data together, and the project has built this premise into its decision-making and implementation processes. To convey an understanding of categories and classification as contextually embedded—culturally produced, intersecting, and discursive—the LINCS team frames them not as fixed but as grounds for investigation and starting points for understanding. Metadata structures are as important as vocabularies for producing such meaning.
{"title":"The Power to Structure","authors":"Erin Canning, Susan Brown, Sarah Roger, Kim Martin","doi":"10.18357/kula.169","DOIUrl":"https://doi.org/10.18357/kula.169","url":null,"abstract":"Information systems are developed by people with intent—they are designed to help creators and users tell specific stories with data. Within information systems, the often invisible structures of metadata profoundly impact the meaning that can be derived from that data. The Linked Infrastructure for Networked Cultural Scholarship project (LINCS) helps humanities researchers tell stories by using linked open data to convert humanities datasets into organized, interconnected, machine-processable resources. LINCS provides context for online cultural materials, interlinks them, andgrounds them in sources to improve web resources for research. This article describes how the LINCS team is using the shared standards of linked data and especially ontologies—typically unseen yet powerful—to bring meaning mindfully to metadata through structure. The LINCS metadata—comprised of linked open data about cultural artifacts, people, and processes—and the structures that support it must represent multiple, diverse ways of knowing. It needs to enable various means of incorporating contextual data and of telling stories with nuance and context, situated and supported by data structures that reflect and make space for specificities and complexities. As it addresses specificity in each research dataset, LINCS is simultaneously working to balance interoperability, as achieved through a level of generalization, with contextual and domain-specific requirements. The LINCS team’s approach to ontology adoption and use centers on intersectionality, multiplicity, and difference. The question of what meaning the structures being used will bring to the data is as important as what meaning is introduced as a result of linking data together, and the project has built this premise into its decision-making and implementation processes. To convey an understanding of categories and classification as contextually embedded—culturally produced, intersecting, and discursive—the LINCS team frames them not as fixed but as grounds for investigation and starting points for understanding. Metadata structures are as important as vocabularies for producing such meaning.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126810676","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}
Introduction to "Metadata as Knowledge," a special issue of KULA: Knowledge Creation, Dissemination, and Preservation Studies that takes up the critical relationship between metadata and knowledge. The issue includes articles and project reports that address metadata, hidden knowledge, and labour; standards versus expression; knowledge sharing and reuse of metadata; forays into open and shared knowledge; linked data, metadata translation, and discovery; and machine learning and knowledge graphs. Although rarely an object of notice or scrutiny by its users, metadata governsthe circulation of information and has the power to name, broadcast, normalize, oppress, and exclude. As the contributions to this issue demonstrate, metadata is knowledge, and metadata creators, systems, and practices must contend with how metadata means.
《元数据即知识》(KULA: Knowledge Creation, Dissemination, and Preservation Studies)特刊“元数据即知识”导论，探讨元数据与知识之间的关键关系。本期刊物包括文章和项目报告，内容涉及元数据、隐藏知识和劳动力;标准与表达;元数据的知识共享与重用;探索开放和共享的知识;关联数据、元数据转换和发现;还有机器学习和知识图谱。虽然元数据很少受到用户的注意或审查，但它控制着信息的流通，并具有命名、传播、规范、压制和排除的权力。正如本期文章所表明的那样，元数据是一种知识，元数据创建者、系统和实践必须了解元数据的含义。
{"title":"Metadata as Knowledge","authors":"Stacy Allison-Cassin, Dean Seeman","doi":"10.18357/kula.244","DOIUrl":"https://doi.org/10.18357/kula.244","url":null,"abstract":"Introduction to \"Metadata as Knowledge,\" a special issue of KULA: Knowledge Creation, Dissemination, and Preservation Studies that takes up the critical relationship between metadata and knowledge. The issue includes articles and project reports that address metadata, hidden knowledge, and labour; standards versus expression; knowledge sharing and reuse of metadata; forays into open and shared knowledge; linked data, metadata translation, and discovery; and machine learning and knowledge graphs. Although rarely an object of notice or scrutiny by its users, metadata governsthe circulation of information and has the power to name, broadcast, normalize, oppress, and exclude. As the contributions to this issue demonstrate, metadata is knowledge, and metadata creators, systems, and practices must contend with how metadata means.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127985777","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}
This article examines how the Circum-Caribbean region’s cultural and geographic complexities make it difficult to describe or index relevant archival materials using the mainstream authority controls used in galleries, libraries, archives, and museums (GLAMs). This difficulty stems from the fact that authority controls utilised by GLAMs are primarily created by North American or European authorities and, therefore, have Western-centric views imbued with colonialist overtones. When these systems are used to catalogue, index, or describe Circum-Caribbean-related collection materials, a tension arises: a system with a white, Euro-American perspective is applied to material reflective of a significantly multicultural place, culture, subject, and population. The rigidity of controlled vocabularies and their applications—which typically follow specific indexing methodologies—cannot accommodate the fluidity necessary to accurately denote the complex Circum-Caribbean region, especially with regard to geographic indexing. This article demonstrates the difficulties that emerge from trying to delimit and define the Caribbean region; provides an abbreviated analysis of the Circum-Caribbean’s representation in the Getty Thesaurus of Geographic Names® (TGN), which mirrors the difficulties of defining and delimiting the region; and presents a case study in which the West Indian Postcard Collection at Cambridge University Library was indexed using augmented applications of the TGN. The research presented in this paper supports the theory that employing both general and specific indexing strategies creates enhanced access to Caribbean-related collection materials by enabling regional, sub-regional, and territorial/national avenues to retrieve collection materials.
{"title":"Trouble in Paradise","authors":"Alex Gooding","doi":"10.18357/kula.227","DOIUrl":"https://doi.org/10.18357/kula.227","url":null,"abstract":"This article examines how the Circum-Caribbean region’s cultural and geographic complexities make it difficult to describe or index relevant archival materials using the mainstream authority controls used in galleries, libraries, archives, and museums (GLAMs). This difficulty stems from the fact that authority controls utilised by GLAMs are primarily created by North American or European authorities and, therefore, have Western-centric views imbued with colonialist overtones. When these systems are used to catalogue, index, or describe Circum-Caribbean-related collection materials, a tension arises: a system with a white, Euro-American perspective is applied to material reflective of a significantly multicultural place, culture, subject, and population. The rigidity of controlled vocabularies and their applications—which typically follow specific indexing methodologies—cannot accommodate the fluidity necessary to accurately denote the complex Circum-Caribbean region, especially with regard to geographic indexing. This article demonstrates the difficulties that emerge from trying to delimit and define the Caribbean region; provides an abbreviated analysis of the Circum-Caribbean’s representation in the Getty Thesaurus of Geographic Names® (TGN), which mirrors the difficulties of defining and delimiting the region; and presents a case study in which the West Indian Postcard Collection at Cambridge University Library was indexed using augmented applications of the TGN. The research presented in this paper supports the theory that employing both general and specific indexing strategies creates enhanced access to Caribbean-related collection materials by enabling regional, sub-regional, and territorial/national avenues to retrieve collection materials.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132707509","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}
The South Asian Canadian Digital Archive (SACDA) is a soon-to-be-released digital repository developed by the South Asian Studies Institute at the University of the Fraser Valley, located in Abbotsford, British Columbia, Canada. SACDA partners with memory institutions, individuals, families, and organizations to digitize, describe, and provide online public access to heritage materials created by, or relevant to, the South Asian Canadian diaspora. This project report will detail how SACDA is building a customized thesaurus to classify its digitized archival holdings, augment existing subject headings and thesauri, and fill in taxonomical gaps. Building on prior work done by alternative thesauri like the Homosaurus, Association for Manitoba Archives Indigenous Subject Headings, Australian Institute of Aboriginal and Torres Strait Islander Studies (AIATSIS) Thesauri, and the International Thesaurus of Refugee Terminology, among others, the SACDA thesaurus intends to fill in a vital gap in South Asian Studies subject control, particularly from a Canadian perspective.
{"title":"South Asian Canadian Digital Archive Thesaurus","authors":"M. Berg, S. Bains, Sadhvi Suri","doi":"10.18357/kula.223","DOIUrl":"https://doi.org/10.18357/kula.223","url":null,"abstract":"The South Asian Canadian Digital Archive (SACDA) is a soon-to-be-released digital repository developed by the South Asian Studies Institute at the University of the Fraser Valley, located in Abbotsford, British Columbia, Canada. SACDA partners with memory institutions, individuals, families, and organizations to digitize, describe, and provide online public access to heritage materials created by, or relevant to, the South Asian Canadian diaspora. This project report will detail how SACDA is building a customized thesaurus to classify its digitized archival holdings, augment existing subject headings and thesauri, and fill in taxonomical gaps. Building on prior work done by alternative thesauri like the Homosaurus, Association for Manitoba Archives Indigenous Subject Headings, Australian Institute of Aboriginal and Torres Strait Islander Studies (AIATSIS) Thesauri, and the International Thesaurus of Refugee Terminology, among others, the SACDA thesaurus intends to fill in a vital gap in South Asian Studies subject control, particularly from a Canadian perspective.","PeriodicalId":425221,"journal":{"name":"KULA: Knowledge Creation, Dissemination, and Preservation Studies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121589356","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：