Journal articles: 'Metadata creation'

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Malaxa, Valentina, and Ian Douglas. "A Framework for Metadata Creation Tools." Interdisciplinary Journal of e-Skills and Lifelong Learning 1 (2005): 151–62. http://dx.doi.org/10.28945/417.

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Randtke, Wilhelmina. "Automated Metadata Creation: Possibilities and Pitfalls." Serials Librarian 64, no. 1-4 (January 2013): 267–84. http://dx.doi.org/10.1080/0361526x.2013.760286.

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Valentino, Maura L. "Integrating Metadata Creation into Catalog Workflow." Cataloging & Classification Quarterly 48, no. 6-7 (August 25, 2010): 541–50. http://dx.doi.org/10.1080/01639374.2010.496304.

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Leise, Fred. "Metadata and content management systems: an introduction for indexers." Indexer: The International Journal of Indexing: Volume 24, Issue 2 24, no. 2 (October 1, 2004): 71–74. http://dx.doi.org/10.3828/indexer.2004.24.2.7.

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Indexers need to know about metadata and content management systems, first because although more and more companies are implementing systems that need proper metadata associated with them, there is a dearth of people with expertise in metadata development. Second, creating metadata uses the basic skills of concept identification and term selection that are central to indexing, although those choosing to move into metadata creation will also need to acquire a new skill set and become familiar with a new set of tools.

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Park, Jung-ran, and Yuji Tosaka. "Metadata Creation Practices in Digital Repositories and Collections: Schemata, Selection Criteria, and Interoperability." Information Technology and Libraries 29, no. 3 (September 1, 2010): 104. http://dx.doi.org/10.6017/ital.v29i3.3136.

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This study explores the current state of metadata-creation practices across digital repositories and collections by using data collected from a nationwide survey of mostly cataloging and metadata professionals. Results show that MARC, AACR2, and LCSH are the most widely used metadata schema, content standard, and subjectcontrolled vocabulary, respectively. Dublin Core (DC) is the second most widely used metadata schema, followed by EAD, MODS, VRA, and TEI. Qualified DC’s wider use vis-à-vis Unqualified DC (40.6 percent versus 25.4 percent) is noteworthy. The leading criteria in selecting metadata and controlled-vocabulary schemata are collection-specific considerations, such as the types of resources, nature of the collection, and needs of primary users and communities. Existing technological infrastructure and staff expertise also are significant factors contributing to the current use of metadata schemata and controlled vocabularies for subject access across distributed digital repositories and collections. Metadata interoperability remains a major challenge. There is a lack of exposure of locally created metadata and metadata guidelines beyond the local environments. Homegrown locally added metadata elements may also hinder metadata interoperability across digital repositories and collections when there is a lack of sharable mechanisms for locally defined extensions and variants.

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Maycock, Keith, and John Keating. "Black Box Metadata Creation: The Academic Problem." International Journal of Emerging Technologies in Learning (iJET) 9, no. 5 (September 14, 2014): 60. http://dx.doi.org/10.3991/ijet.v9i5.3826.

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Or-Bach, Rachel. "Educational benefits of metadata creation by students." ACM SIGCSE Bulletin 37, no. 4 (December 2005): 93–97. http://dx.doi.org/10.1145/1113847.1113885.

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Lai, Pei-Chun, and Auriol Degbelo. "A Comparative Study of Typing and Speech For Map Metadata Creation." AGILE: GIScience Series 2 (June 4, 2021): 1–12. http://dx.doi.org/10.5194/agile-giss-2-7-2021.

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Abstract. Metadata is key to effective knowledge organization, and designing user interfaces that maximize user performance and user experience during metadata creation would benefit several areas of GIScience. Yet, empirically-derived guidelines for user interfaces supporting GI-metadata creation are still scarce. As a step towards mitigating that gap, this work has implemented and evaluated a prototype that produces semantically-rich metadata for web maps via one of two input modalities: typing or speech. A controlled experiment (N=12) to investigate the merits of both modalities has revealed that (i) typing and speech were comparable as far as input duration time is concerned; and (ii) they received opposed ratings concerning their pragmatic and hedonic qualities. Combining both might thus be beneficial for GI-metadata creation user interfaces. The findings are useful to ongoing work on semantic enablement for spatial data infrastructure and note-taking during visual analytics.

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Sun, Li. "Batch loading in metadata creation: a case study." Electronic Library 29, no. 4 (August 9, 2011): 538–49. http://dx.doi.org/10.1108/02640471111156786.

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Majcen, Kurt, Werner Bailer, Martin Höffernig, Werner Preininger, and Silvia Russegger. "Easing the Creation of Mappings between Metadata Formats." International Journal of Heritage in the Digital Era 1, no. 1_suppl (January 2012): 209–14. http://dx.doi.org/10.1260/2047-4970.1.0.209.

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Seeman, Dean, and Heather Dean. "Open Social Knowledge Creation and Library and Archival Metadata." KULA: Knowledge Creation, Dissemination, and Preservation Studies 3 (February 27, 2019): 13. http://dx.doi.org/10.5334/kula.51.

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Standardization both reflects and facilitates the collaborative and networked approach to metadata creation within the fields of librarianship and archival studies. These standards—such as Resource Description and Access and Rules for Archival Description—and the theoretical frameworks they embody enable professionals to work more effectively together. Yet such guidelines also determine who is qualified to undertake the work of cataloging and processing in libraries and archives. Both fields are empathetic to facilitating user-generated metadata and have taken steps towards collaborating with their research communities (as illustrated, for example, by social tagging and folksonomies) but these initial experiments cannot yet be regarded as widely adopted and radically open and social. This paper explores the recent histories of descriptive work in libraries and archives and the challenges involved in departing from deeply established models of metadata creation.

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Knight, R. Cecilia, Elizabeth Rodrigues, and Rebecca Ciota. "Collaborating for metadata creation on digital projects: using Google Forms and Sheets." Library Hi Tech News 34, no. 8 (October 2, 2017): 20–23. http://dx.doi.org/10.1108/lhtn-08-2017-0056.

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Purpose Working with faculty and staff to create digital projects requires a complex group of skills and activities. Potential collaborators often jump to the end vision without fully grasping the need for proper description and metadata. Design/methodology/approach On-the-job experiences. Contextual inquiry. Findings Using Google Forms and Sheets is perceived of as neutral and less frightening than working in a platform that will be the home of the project or using other proprietary productivity software. Social implications Digital scholars gradually come to understand the stakes of early decisions in metadata creation (such as file naming conventions and controlled vocabulary) and how that affects database structures, record display, keyword searching and long-term curation. Originality/value The authors did not find any other publications addressing using Google Apps for creating metadata.

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Benancio, Lizbardo Orellano, Ricardo Muñoz Canales, Paolo Rodriguez Leon, and Enrique Lee Huamaní. "Integrity and Authenticity of Digital Images by Digital Forensic Analysis of Metadata." International Journal of Emerging Technology and Advanced Engineering 11, no. 9 (September 20, 2021): 38–45. http://dx.doi.org/10.46338/ijetae0921_05.

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Abstract—During various court hearings, the thesis that every authentic digital file has precise metadata of its creation date was questioned.In this way, the problem was raised which indicates, if the metadata of a digital file (Image) whose label records the date of creation by the recording device of a digital image file are accurate and reliable.For this reason, during the forensic analysis carried out in this work, a record of the metadata of five (05) digital image files from known sources is shown and where their characteristics have been detailed, in addition a record of the metadata of the images used that were later manipulated with image editing software with which metadata comparisons were made to show the labels that suffered modifications in their content.Finally, the obtaining of HASH code with the SHA - 256 algorithm is shown, for digital assurance, of the edited and original files whose comparison allows observing the changes in the content at a binary level. Keywords—Crime; Cybercrime; Digital Image; HASH; Metadata

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Soares, Filipi Miranda, Benildes Coura Moreira dos Santos Maculan, Debora Pignatari Drucker, and Antonio Mauro Saraiva. "Methodological principles to create a metadata extension to the Darwin Core standard for agrobiodiversity data." Brazilian Journal of Information Science 14, no. 4 (December 4, 2020): e020015. http://dx.doi.org/10.36311/1940-1640.2020.v14n4.10865.

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This research aims to propose principles to creating a metadata extension to the Darwin Core standard that addresses the agrobiodiversity data, with a thematic scope on ecological interactions. These principles have been compiled from the scientific literature, giving special attention to recommendations of the DCMI Abstract Model, which outlines the principles for creating metadata. The DCMI Abstract Model governs the creation of the Dublin Core metadata standard upon which Darwin Core is based. The requirements of ISO/IEC 11179-4/2004 standard for the definition of metadata were also taken into consideration. The research is in progress, so what is exposed in this article are preliminary results. A prototype of a metadata record for the field of ecological interactions, which is the scope of research within agrobiodiversity, was created to demonstrate the format that metadata will have when the extension is finalized. This research represents an initial effort to propose more effective tools for agrobiodiversity data management, but it is necessary to mature and deepen the discussions around the conceptual aspects of the ecological interactions in agrobiodiversity and the relationship of the new metadata extension with the term set of the Darwin Core, as well a robust methodology to create DwC extensions is still pending of being developed.

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Musen, Mark A., Carol A. Bean, Kei-Hoi Cheung, Michel Dumontier, Kim A. Durante, Olivier Gevaert, Alejandra Gonzalez-Beltran, et al. "The center for expanded data annotation and retrieval." Journal of the American Medical Informatics Association 22, no. 6 (June 25, 2015): 1148–52. http://dx.doi.org/10.1093/jamia/ocv048.

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Abstract The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and expressive metadata for biomedical datasets to facilitate data discovery, data interpretation, and data reuse. We take advantage of emerging community-based standard templates for describing different kinds of biomedical datasets, and we investigate the use of computational techniques to help investigators to assemble templates and to fill in their values. We are creating a repository of metadata from which we plan to identify metadata patterns that will drive predictive data entry when filling in metadata templates. The metadata repository not only will capture annotations specified when experimental datasets are initially created, but also will incorporate links to the published literature, including secondary analyses and possible refinements or retractions of experimental interpretations. By working initially with the Human Immunology Project Consortium and the developers of the ImmPort data repository, we are developing and evaluating an end-to-end solution to the problems of metadata authoring and management that will generalize to other data-management environments.

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Crystal, Abe, and Jane Greenberg. "Usability of a metadata creation application for resource authors." Library & Information Science Research 27, no. 2 (March 2005): 177–89. http://dx.doi.org/10.1016/j.lisr.2005.01.012.

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Knight, R. Cecilia, Elizabeth Rodrigues, and Rebecca Ciota. "Facilitating Collaborative Metadata Creation for Faculty-initiated Digital Projects." Journal of Library Metadata 20, no. 1 (January 2, 2020): 51–64. http://dx.doi.org/10.1080/19386389.2020.1728479.

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Kircz, Joost. "Creation‐driven marketing: integrating metadata into the production process." New Library World 108, no. 11/12 (November 20, 2007): 552–60. http://dx.doi.org/10.1108/03074800710838281.

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Fegraus, Eric H., Sandy Andelman, Matthew B. Jones, and Mark Schildhauer. "Maximizing the Value of Ecological Data with Structured Metadata: An Introduction to Ecological Metadata Language (EML) and Principles for Metadata Creation." Bulletin of the Ecological Society of America 86, no. 3 (July 2005): 158–68. http://dx.doi.org/10.1890/0012-9623(2005)86[158:mtvoed]2.0.co;2.

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Vanags, Mikus, and Rudite Cevere. "Type Safe Metadata Combining." Computer and Information Science 10, no. 2 (April 30, 2017): 97. http://dx.doi.org/10.5539/cis.v10n2p97.

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Type safety is an important property of any type system. Modern programming languages support different mechanisms to work in type safe manner, e.g., properties, methods, events, attributes (annotations) and other structures. Some programming languages allow access to metadata: type information, type member information and information about applied attributes. But none of the existing mainstream programming languages which support reflection provides fully type safe metadata combining mechanism built in the programming language. Combining of metadata means a class member metadata combining with data, type metadata and constraints. Existing solutions provide no or limited type safe metadata combining mechanism; they are complex and processed at runtime, which by definition is not built-in type-safe metadata combining. Problem can be solved by introducing syntax and methods for type safe metadata combining so that, metadata could be processed at compile time in a fully type safe way. Common metadata combining use cases are data abstraction layer creation and database querying.

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Rinehart, Richard. "The Media Art Notation System: Documenting and Preserving Digital/Media Art." Leonardo 40, no. 2 (April 2007): 181–87. http://dx.doi.org/10.1162/leon.2007.40.2.181.

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This paper proposes a new approach to conceptualizing digital and media art forms. This theoretical approach will be explored through issues raised in the process of creating a formal declarative model (alternately known as a metadata framework, notation system or ontology) for digital and media art. The approach presented and explored here is intended to inform a better understanding of media art forms and to provide a practical descriptive framework that supports their creation, re-creation, documentation and preservation.

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Willoughby, Cerys, Colin Bird, and Jeremy Frey. "User-Defined Metadata: Using Cues and Changing Perspectives." International Journal of Digital Curation 10, no. 1 (January 30, 2015): 18–47. http://dx.doi.org/10.2218/ijdc.v10i1.343.

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User-defined metadata is useful for curating and helping to provide context for experiment records, but our previous investigations have demonstrated that simply providing the facility to add metadata is not enough to ensure that metadata is added, let alone to ensure that the metadata is of high quality. For metadata to be useful it first has to be present, but enforcing metadata generation is of no benefit if it is low quality, inconsistent, or irrelevant. Researchers need support. One strategy to encourage more effective metadata creation is to design user interfaces that invite users to add metadata by asking them questions. If we ask users specific questions about their experiments and other activities then we could capture more relevant or useful metadata, although there is a risk that asking the wrong questions may lead to loss of valuable metadata terms or the creation of irrelevant material. In this paper we report on a study to investigate how different questions could be used to generate metadata by eliciting information in three different conditions: free recall, changing perspective by thinking about search terms to help someone else, and providing cues by using a set of topic-based questions. We also investigate how responses varied with different information types. The results of the study show that different terms are created under the different conditions, as expected. The use of cues generates the highest numbers of terms and the most diverse range, including elements that are not captured in other conditions. However, important themes generated in other conditions are not produced because the cues to create them are missing. The study also generated a number of unexpected findings, including responses describing information that is not in the original material: personal opinions and experiences, and comments about the information text itself. These unexpected responses have both positive and negative consequences for the generation of metadata and the curation of scientific records. The results of studies using these techniques to capture metadata for chemistry experiments are also discussed.

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Stovold, Elizabeth Margaret. "Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues." Evidence Based Library and Information Practice 11, no. 3 (September 26, 2016): 93. http://dx.doi.org/10.18438/b81s7n.

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A Review of: Moulaison Sandy, H., & Dykas, F. (2016). High-quality metadata and repository staffing: Perceptions of United States–based OpenDOAR participants. Cataloging & Classification Quarterly, 54(2), 101-116. http://dx.doi.org/10.1080/01639374.2015.1116480 Objective – To investigate the quality of institutional repository metadata, metadata practices, and identify barriers to quality. Design – Survey questionnaire. Setting – The OpenDOAR online registry of worldwide repositories. Subjects – A random sample of 50 from 358 administrators of institutional repositories in the United States of America listed in the OpenDOAR registry. Methods – The authors surveyed a random sample of administrators of American institutional repositories included in the OpenDOAR registry. The survey was distributed electronically. Recipients were asked to forward the email if they felt someone else was better suited to respond. There were questions about the demographics of the repository, the metadata creation environment, metadata quality, standards and practices, and obstacles to quality. Results were analyzed in Excel, and qualitative responses were coded by two researchers together. Main results – There was a 42% (n=21) response rate to the section on metadata quality, a 40% (n=20) response rate to the metadata creation section, and 40% (n=20) to the section on obstacles to quality. The majority of respondents rated their metadata quality as average (65%, n=13) or above average (30%, n=5). No one rated the quality as high or poor, while 10% (n=2) rated the quality as below average. The survey found that the majority of descriptive metadata was created by professional (84%, n=16) or paraprofessional (53%, n=10) library staff. Professional staff were commonly involved in creating administrative metadata, reviewing the metadata, and selecting standards and documentation. Department heads and advisory committees were also involved in standards and documentation selection. The majority of repositories used locally established standards (61%, n=11). When asked about obstacles to metadata quality, the majority identified time and staff hours (85%, n=17) as a barrier, as well as repository software (60%, n=12). When the responses to questions about obstacles to quality were tabulated with the responses to quality rating, time limitations and staff hours came out as the top or joint-top answer, regardless of the quality rating. Finally, the authors present a sample of responses to the question on how metadata could be improved and these offer some solutions to staffing issues, the application of standards, and the repository system in use. Conclusion – The authors conclude that staffing, standards, and systems are all concerns in providing quality metadata. However, they suggest that standards and software issues could be overcome if adequate numbers of qualified staff are in place.

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Enoksson, Fredrik, and Olle Bälter. "The activity of human metadata creation and the semantic web." International Journal of Metadata, Semantics and Ontologies 10, no. 1 (2015): 64. http://dx.doi.org/10.1504/ijmso.2015.068276.

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Burk, Alan, Muhammad Al‐Digeil, Dominic Forest, and Jennifer Whitney. "New possibilities for metadata creation in an institutional repository context." OCLC Systems & Services: International digital library perspectives 23, no. 4 (November 6, 2007): 403–10. http://dx.doi.org/10.1108/10650750710831547.

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Blum, Jesse M., Guy C. Warner, Simon B. Jones, Paul S. Lambert, and Alison S. F. Dawson. "Metadata Creation, Transformation and Discovery for Social Science Data Management: The DAMES Project Infrastructure." IASSIST Quarterly 33, no. 1 (November 11, 2010): 23. http://dx.doi.org/10.29173/iq647.

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Frederick, Donna Ellen. "Library data: what is it and what changes do libraries need to make? (the Data Deluge Column)." Library Hi Tech News 34, no. 8 (October 2, 2017): 1–7. http://dx.doi.org/10.1108/lhtn-06-2017-0044.

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Purpose In 2016, the “Data Deluge Column” explored the sometimes frustrating reality of cataloguing and metadata librarians as their discipline underwent change. Design/methodology/approach The column, called “Metadata specialists in transition: from MARC cataloguing to linked data and BIBFRAME”, alluded to the ongoing and significant changes in the practice of cataloguing and metadata creation, but did not delve into the nature of the changes and what they mean for libraries in general. Findings This instalment of the “Data Deluge Column” expands that discussion by exploring the emerging model for the data that libraries create and manage. Originality/value It seems that it has taken about 20 years to overcome the inertia required to begin to reinvent the practice of and environment for creating library data. Perhaps, some of this inertia is because of predictions of the current distress and pressure felt by cataloguing departments today.

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Temple, Jeromey, Tanara Sousa, Ruth Williams, Jay Stiles, Libby Brooke, and Josh Knight. "Understanding survey data available for researchers working in ageing: the CEPAR Metadata Database on Ageing." Australian Population Studies 5, no. 1 (May 30, 2021): 65–76. http://dx.doi.org/10.37970/aps.v5i1.83.

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Background For researchers working in gerontology or the demography of ageing, knowledge of and access to population-based data, which includes mature age respondents, is critical. The collection of metadata (information describing data) supports researchers in their search for relevant data. Aims This proof-of-concept project seeks to develop a metadata database including metadata on Australian sample surveys relevant to ageing over the period 2010–2018. Data and methods We used a five-stage approach to create the Centre for Excellence in Population Ageing Research (CEPAR) metadata database on ageing: 1) identification of in-scope survey datasets; 2) indexing the in-scope surveys; 3) scraping metadata from publicly available sources; 4) appending metadata to a master database; and 5) creation of a webtool to enable users to search and export metadata and obtain contact details for the relevant data custodian. Results The CEPAR Metadata Database webtool is available from: https://mspgh.unimelb.edu.au/centres-institutes/centre-for-health-policy/research-group/metadata-database. Conclusions Metadata database collections can assist researchers to identify what data has been collected (for their specific research interest in ageing), how it was collected and how to gain access to the data.

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Bhat, Talapady. "Rule and Root-based Metadata-Ecosystem for Structural Bioinformatics & Facebook." Acta Crystallographica Section A Foundations and Advances 70, a1 (August 5, 2014): C496. http://dx.doi.org/10.1107/s2053273314095035.

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Despite the widespread efforts to develop flexible formats such as PDB, mmCIF, CIF., to store and exchange data, the lack of best practice metadata pose major challenges. Readily adoptable methods with demonstrated usability across multiple solutions to create on-demand metadata are critical for the effective archive and exchange of data in a user-centric fashion. It is important that there exists a metadata-ecosystem where metadata of all structural and biological research evolve synchronously. Previously we described (Chem-BLAST, http://xpdb.nist.gov/chemblast/pdb.pl) a new `root' based concept used in language development (Latin & Sanskrit) to simplify the selection or creation of terms for metadata for millions of chemical structures from the PDB and the PubChem. Subsequently we extended it to text-based data on Cell-image-data (BMC, doi:10.1186/1471-2105-12-487). Here we describe further extension of this concept by creating roots and rules to define an ecosystem for composing new or modifying existing metadata for demonstrated inter-operability. A major focus of the rules is to ensure that the metadata terms are self-explaining (intuitive), highly-reused to describe many experiments and also that they are usable in a federated environment to construct new use-cases. We illustrate the use of this concept to compose semantic terminology for a wide range of disciplines ranging from material science to biology. Examples of the use of such metadata to create demonstrated solutions to describe data on cell-image data will also be presented. I will present ideas and examples to foster discussion on metadata architecture a) that is independent of formats and b) that is better suited for a federated environment c) that could be used readily to build components such as resource description framework (RDF) and Web services for Semantic web.

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Walling, David, and Maria Esteva. "Automating the Extraction of Metadata from Archaeological Data Using iRods Rules." International Journal of Digital Curation 6, no. 2 (July 25, 2011): 253–64. http://dx.doi.org/10.2218/ijdc.v6i2.201.

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The Texas Advanced Computing Center and the Institute for Classical Archaeology at the University of Texas at Austin developed a method that uses iRods rules and a Jython script to automate the extraction of metadata from digital archaeological data. The first step was to create a record-keeping system to classify the data. The record-keeping system employs file and directory hierarchy naming conventions designed specifically to maintain the relationship between the data objects and map the archaeological documentation process. The metadata implicit in the record-keeping system is automatically extracted upon ingest, combined with additional sources of metadata, and stored alongside the data in the iRods preservation environment. This method enables a more organized workflow for the researchers, helps them archive their data close to the moment of data creation, and avoids error prone manual metadata input. We describe the types of metadata extracted and provide technical details of the extraction process and storage of the data and metadata.

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Löffler, Beate, and Tino Mager. "Minor Politics, Major Consequences." Digital Culture & Society 6, no. 2 (December 1, 2020): 221–38. http://dx.doi.org/10.14361/dcs-2020-0211.

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Abstract Metadata is part of our knowledge systems and, so, represents and perpetuates political hierarchies and perceptions of relevance. While some of these have come up for scrutiny in the discourses on digitization, some ‘minor’ issues have gone unnoticed and a few new mechanisms of imbalance have escaped attention as well. Yet, all of these, too, influence the usability of digital image collections. This paper traces three fields of ‘minor politics’ and their epistemic consequences, both in general and in particular, with respect to the study of architecture and its visual representation: first, the intrinsic logic of the original collections and their digital representation; second, the role of support staff in the course of digitization and data transfer; and, third, keywording as a matter of disciplinary habitus. It underlines the ‘political’ role of metadata within the context of knowledge production, even on the local level of a single database, and connects to the implementation of contemporary technologies like computer vision and artificial intelligence for image content classification and the creation of metadata. Given the abundance of digitally available (historical) images, image content recognition and the creation of metadata by artificial intelligence are sheer necessities in order to make millions of hitherto unexplored images available for research. At the same time, the challenge to overcome existing colonial and other biases in the training of AI remains. Hence, we are once again tasked to reflect on the delicate criterion of objectivity. The second part of this paper focuses on research done in the ArchiMediaL project (archimedial.eu); it demonstrates both the potentials and the risks of applying artificial intelligence for metadata creation by addressing the three fields mentioned above through the magnifying glass of programming.

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Cho, Jane. "A Study on Book Metadata Creation and Distribution on Supply Chain." Journal of the Korean Society for Library and Information Science 44, no. 3 (August 30, 2010): 61–80. http://dx.doi.org/10.4275/kslis.2010.44.3.061.

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Amann, Bernd, Irini Fundulaki, and Michel Scholl. "Integrating ontologies and thesauri for RDF schema creation and metadata querying." International Journal on Digital Libraries 3, no. 3 (October 2000): 221–36. http://dx.doi.org/10.1007/s007990000037.

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Ferraioli, Leatrice. "An Exploratory Study of Metadata Creation in a Health Care Agency." Cataloging & Classification Quarterly 40, no. 3-4 (September 9, 2005): 75–102. http://dx.doi.org/10.1300/j104v40n03_05.

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Brasher, Andrew, and Patrick McAndrew. "A model for the creation of human‐generated metadata within communities." Learning, Media and Technology 30, no. 2 (July 2005): 219–40. http://dx.doi.org/10.1080/17439880500093869.

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Virrueta Gordillo, Aremy Olaya, and Rodolfo Esteban Ibarra Orozco. "On a LS-Adaptive Learning Objects Creation Methodology Using LOM Metadata." Research in Computing Science 56, no. 1 (December 31, 2012): 69–76. http://dx.doi.org/10.13053/rcs-56-1-8.

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Khan, Huda, Brian Caruso, Jon Corson-Rikert, Dianne Dietrich, Brian Lowe, and Gail Steinhart. "DataStaR: Using the Semantic Web approach for Data Curation." International Journal of Digital Curation 6, no. 2 (July 25, 2011): 209–21. http://dx.doi.org/10.2218/ijdc.v6i2.197.

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In disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data in digital forms and providing the digital infrastructure for sharing data and metadata pose several challenges. This paper reviews the motivations behind and design of the Data Staging Repository (DataStaR) platform that targets specific portions of the research data curation lifecycle: data and metadata capture and sharing prior to publication, and publication to permanent archival repositories. The goal of DataStaR is to support both the sharing and publishing of data while at the same time enabling metadata creation without imposing additional overheads for researchers and librarians. Furthermore, DataStaR is intended to provide cross-disciplinary support by being able to integrate different domain-specific metadata schemas according to researchers’ needs. DataStaR’s strategy of a usable interface coupled with metadata flexibility allows for a more scaleable solution for data sharing, publication, and metadata reuse.

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Naumann, Kai, Christian Keitel, and Rolf Lang. "One for Many: A Metadata Concept for Mixed Digital Content at a State Archive." International Journal of Digital Curation 4, no. 2 (October 15, 2009): 80–92. http://dx.doi.org/10.2218/ijdc.v4i2.95.

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The Landesarchiv (State Archive) of Baden-Württemberg has designed and implemented a metadata concept for digital content covering a heterogenous range of digital-born and digitised material. Special attention was given to matters of authenticity and to economic ingest and dissemination methods under the requirements of a public archive. This paper describes the outcome of metadata discussions during the implementation period of the DIMAG repository. It treats integration of the repository’s architecture with the archival classification concept, measures for long-term accessibility, the creation of adapted metadata placement, and provisions for exchange with other applications for ingest and use. The deliberately short list of metadata elements is included in this paper. Some existing standards have been evaluated under a real use environment; this paper also introduces modifications applied to them in the project context.

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Padeken, Lena Mareike, and Annika Johanna Bürkel. "Ontology-based modelling for content delivery systems." SHS Web of Conferences 77 (2020): 03004. http://dx.doi.org/10.1051/shsconf/20207703004.

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Instead of managing metadata in a content management system (CMS) for content delivery, this research uses an ontology to make use of augmented intelligence. Hence, the retrieval of specific information in a content delivery system (CDS) is provided by a concise metadata concept. Ontology-based metadata concepts can have advantages in comparison to taxonomy-based metadata concepts because of the possibilities they offer to display linked information. The creation of an ontology depends on the vendor’s system, the vendor’s approach and most importantly the particular use case. Due to the ontology modelling, a data transformation for an external CDS is needed. When working with different vendors, requirements and considerations need to be discussed because the outcome can add value to user experience. The goal of this research is to identify the advantages of an ontology system over metadata management in a CMS. These advantages can be extracted by opportunities offered by the ontology modelling and by the transformation process.

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Alemu, Getaneh, Brett Stevens, and Penny Ross. "Towards a conceptual framework for user‐driven semantic metadata interoperability in digital libraries." New Library World 113, no. 1/2 (January 6, 2012): 38–54. http://dx.doi.org/10.1108/03074801211199031.

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PurposeWith the aim of developing a conceptual framework which aims to facilitate semantic metadata interoperability, this paper explores overarching conceptual issues on how traditional library information organisation schemes such as online public access catalogues (OPACs), taxonomies, thesauri, and ontologies on the one hand versus Web 2.0 technologies such as social tagging (folksonomies) can be harnessed to provide users with satisfying experiences.Design/methodology/approachThis paper reviews works in relation to current metadata creation, utilisation and interoperability approaches, focusing on how a social constructivist philosophical perspective can be employed to underpin metadata decisions in digital libraries. Articles are retrieved from databases such as EBSCO host and Emerald and online magazines such as D‐Lib and Ariadne. Books, news articles and blog posts that are deemed relevant are also used to support the arguments put forward in this paper.FindingsCurrent metadata approaches are deeply authoritative and metadata deployments in digital libraries tend to favour an objectivist approach with focus on metadata simplicity. It is argued that unless information objects are enriched with metadata generated through a collaborative and user‐driven approach, achieving semantic metadata interoperability in digital libraries will remain difficult.Practical implicationsIn this paper, it is indicated that the number of metadata elements (fields) constituting a standard has a direct bearing on metadata richness, which in turn directly affects semantic interoperability. It is expected that this paper will contribute towards a better understanding of harnessing user‐driven metadata.Originality/valueAs suggested in this paper, a conceptual metadata framework underpinned by a social constructivist approach substantially contributes to semantic interoperability in digital libraries.

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Comenetz, Joshua. "Visualizing Metadata: Design Principles for Thematic Maps." Cartographic Perspectives, no. 49 (September 1, 2004): 10–21. http://dx.doi.org/10.14714/cp49.438.

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This paper argues that the best way to transmit metadata to thematic map users is through cartography rather than text notes or digital means. Indicators such as reliability diagrams, common on maps derived from air photos or satellite images, are rarely included on thematic maps based on the census or other socioeconomic data sources. These data not only suffer from an array of quality problems but also are widely distributed among the general public in cartographic format. Metadata diagrams for thematic maps based on human variables therefore must be clear and concise, so as to be comprehensible by the non-specialist. Principles of good metadata diagram creation are proposed, with attention to the balance between clarity and space constraints.

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Thanekar, Sachin Arun, K. Subrahmanyam, and A. B. Bagwan. "Effective Job Execution in Hadoop Over Authorized Deduplicated Data." Webology 17, no. 2 (December 21, 2020): 430–44. http://dx.doi.org/10.14704/web/v17i2/web17043.

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Existing Hadoop treats every job as an independent job and destroys metadata of preceding jobs. As every job is independent, again and again it has to read data from all Data Nodes. Moreover relationships between specific jobs are also not getting checked. Lack of Specific user identities creation and forming groups, managing user credentials are the weaknesses of HDFS. Due to which overall performance of Hadoop becomes very poor. So there is a need to improve the Hadoop performance by reusing metadata, better space management, better task execution by checking deduplication and securing data with access rights specification. In our proposed system, task deduplication technique is used. It checks the similarity between jobs by checking block ids. Job metadata and data locality details are stored on Name Node which results in better execution of job. Metadata of executed jobs is preserved. Thus by preserving job metadata re computations time can be saved. Experimental results show that there is an improvement in job execution time, reduced storage space. Thus, improves Hadoop performance.

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Růžička, Jan. "ISO 19115 for GeoWeb services orchestration." Geoinformatics FCE CTU 3 (April 12, 2008): 51–66. http://dx.doi.org/10.14311/gi.3.5.

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The paper describes theoretical and practical possibilities of ISO 19115 standard in a process of generating dynamic GeoWeb services orchestras. There are several ways how to instantiate orchestras according to current state of services and user needs, some of them are briefly described in the paper. The most flexible way is based on metadata that describe geodata used by services. The most common standard used for geodata metadata in the EU is ISO 19115. The paper should describe if the standard is able (without extensions) to hold enough information for orchestration purposes. The paper defines minimal set of metadata items named ”ISO 19115 Orchestration Minimal” that must be available for geodata evaluation in a process of orchestration. A second part of the article will be probably less optimistic. It should describe how are (or were, or are planned to be) ISO 19115 possibilities used for metadata creation nowadays in the Czech Republic. This part is based on analyses of ISO 19115 core, MIDAS system, Dublin Core and INSPIRE metadata IR.

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Dixon, Kristy L., and Lisa T. Nickel. "MetaWHAT?: Training access services staff to partner in digital projects metadata creation." College & Research Libraries News 73, no. 2 (February 1, 2012): 74–82. http://dx.doi.org/10.5860/crln.73.2.8703.

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Boydston, Jeanne M. K., and Joan M. Leysen. "Observations on the Catalogers' Role in Descriptive Metadata Creation in Academic Libraries." Cataloging & Classification Quarterly 43, no. 2 (December 8, 2006): 3–17. http://dx.doi.org/10.1300/j104v43n02_02.

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Register, Renee, Kevin Cohn, Les Hawkins, Helen Henderson, Regina Reynolds, Steven C. Shadle, William Hoffman, Sri Rajan, and Paoshan W. Yue. "Metadata in a Digital Age: New Models of Creation, Discovery, and Use." Serials Librarian 56, no. 1-4 (March 6, 2009): 7–24. http://dx.doi.org/10.1080/03615260802672445.

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Diao, Junli, and Mirtha A. Hernández. "Transferring Cataloging Legacies into Descriptive Metadata Creation in Digital Projects: Catalogers’ Perspective." Journal of Library Metadata 14, no. 2 (April 3, 2014): 130–45. http://dx.doi.org/10.1080/19386389.2014.909670.

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Colla, Davide, Annamaria Goy, Marco Leontino, and Diego Magro. "Wikidata Support in the Creation of Rich Semantic Metadata for Historical Archives." Applied Sciences 11, no. 10 (May 12, 2021): 4378. http://dx.doi.org/10.3390/app11104378.

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The research question this paper aims at answering is the following: In an ontology-driven annotation system, can the information extracted from external resources (namely, Wikidata) provide users with useful suggestions in the characterization of entities used for the annotation of documents from historical archives? The context of the research is the PRiSMHA project, in which the main goal is the development of a proof-of-concept prototype ontology-driven system for semantic metadata generation. The assumption behind this effort is that an effective access to historical archives needs a rich semantic knowledge, relying on a domain ontology, that describes the content of archival resources. In the paper, we present a new feature of the annotation system: when characterizing a new entity (e.g., a person), some properties describing it are automatically pre-filled in, and more complex semantic representations (e.g., events the entity is involved in) are suggested; both kinds of suggestions are based on information retrieved from Wikidata. In the paper, we describe the automatic algorithm devised to support the definition of the mappings between the Wikidata semantic model and the PRiSMHA ontology, as well as the process used to extract information from Wikidata and to generate suggestions based on the defined mappings. Finally, we discuss the results of a qualitative evaluation of the suggestions, which provides a positive answer to the initial research question and indicates possible improvements.

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Abad, Karla, Walter Orozco Iguasnia, Washington Torres, and Alfredo González Tomalá. "Modelo de web semántica para universidades." Revista Científica y Tecnológica UPSE 3, no. 1 (December 28, 2015): 106–15. http://dx.doi.org/10.26423/rctu.v3i1.78.

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A raíz del estudio de estado actual de micrositios y repositorios en la Universidad Estatal Península de Santa Elena se encontró que su información carecía de semántica óptima y adecuada. Bajo estas circunstancias, se plantea entonces la necesidad de crear un modelo de estructura de web semántica para Universidades, el cual posteriormente fue aplicado a micrositios y repositorio digital de la UPSE, como caso de prueba. Parte de este proyecto incluye la instalación de módulos de software con sus respectivas configuraciones y la utilización de estándares de metadatos como DUBLIN CORE, para la mejora del SEO (optimización en motores de búsqueda); con ello se ha logrado la generación de metadatos estandarizados y la creación de políticas para la subida de información. El uso de metadatos transforma datos simples en estructuras bien organizadas que aportan información y conocimiento para generar resultados en buscadores web. Al culminar la implementación del modelo de web semántica es posible decir que la universidad ha mejorado su presencia y visibilidad en la web a través del indexamiento de información en diferentes motores de búsqueda y posicionamiento en la categorización de universidades y de repositorios de Webometrics (ranking que proporciona clasificación de universidades de todo el mundo). AbstractAfter examining the current microsites and repositories situation in University, Peninsula of Santa Elena´s, it was found that information lacked optimal and appropriate semantic. Under these circumstances, there is a need to create a semantic web structure model for Universities, which was subsequently applied to UPSE´s microsites and digital repositories, as a test study case. Part of this project includes the installation of software modules with their respective configurations and the use of metadata standards such as DUBLIN CORE, to improve the SEO (Search Engine Optimization); with these applications, it was achieved the creation of standardized metadata and the creation of uploading information policies. The use of metadata transforms raw data into well-organized structures that provide information and knowledge to generate web engine search results. Upon completion of the implementation of semantic web model, it is possible to say that the university had improved its presence and visibility on the web through the indexing of information in different search engines and the categorization positioning of universities and Repositories in the Webometrics ranking (ranking Web of Higher Education Institutions Worldwide).

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Mayernik, Matthew S. "Metadata accounts: Achieving data and evidence in scientific research." Social Studies of Science 49, no. 5 (July 27, 2019): 732–57. http://dx.doi.org/10.1177/0306312719863494.

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‘Metadata’ has received a fraction of the attention that ‘data’ has received in sociological studies of scientific research. A neglect of ‘metadata’ reduces the attention on a number of critical aspects of scientific work processes, including documentary work, accountability relations, and collaboration routines. Metadata processes and products are essential components of the work needed to practically accomplish day-to-day scientific research tasks, and are central to ensuring that research findings and products meet externally driven standards or requirements. This article is an attempt to open up the discussion on and conceptualization of metadata within the sociology of science and the sociology of data. It presents ethnographic research of metadata creation within everyday scientific practice, focusing on how researchers document, describe, annotate, organize and manage their data, both for their own use and the use of researchers outside of their project. In particular, this article argues that the role and significance of metadata within scientific research contexts are intimately tied to the nature of evidence and accountability within particular social situations. Studying metadata can (1) provide insight into the production of evidence, that is, how something we might call ‘data’ becomes able to serve an evidentiary role, and (2) provide a mechanism for revealing what people in research contexts are held accountable for, and what they achieve accountability with.

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Journal articles on the topic 'Metadata creation'

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