scholarly journals The health care and life sciences community profile for dataset descriptions

2016 ◽  
Author(s):  
Michel Dumontier ◽  
Alasdair J G Gray ◽  
M. Scott Marshall ◽  
Vladimir Alexiev ◽  
Peter Ansell ◽  
...  
Keyword(s):  
Health Care ◽  
Life Sciences ◽  
Scientific Data ◽  
Functional Requirements ◽  
High Quality ◽  
Community Profile ◽  
Value Sets ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify common metadata elements and their value sets. The resulting guideline covers elements of description, identification, attribution, versioning, provenance, and content summarization. This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data. The resulting metadata profile is generic and could be used by other domains with an interest in providing machine readable descriptions of versioned datasets.

scholarly journals The health care and life sciences community profile for dataset descriptions

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2331 ◽  
Author(s):  
Michel Dumontier ◽  
Alasdair J.G. Gray ◽  
M. Scott Marshall ◽  
Vladimir Alexiev ◽  
Peter Ansell ◽  
...  
Keyword(s):  
Health Care ◽  
Life Sciences ◽  
Scientific Data ◽  
Functional Requirements ◽  
High Quality ◽  
Community Profile ◽  
Value Sets ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify common metadata elements and their value sets. The resulting guideline covers elements of description, identification, attribution, versioning, provenance, and content summarization. This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data. The resulting metadata profile is generic and could be used by other domains with an interest in providing machine readable descriptions of versioned datasets.

scholarly journals The health care and life sciences community profile for dataset descriptions

2017 ◽  
Author(s):  
Michel Dumontier ◽  
Alasdair J G Gray ◽  
M. Scott Marshall ◽  
Vladimir Alexiev ◽  
Peter Ansell ◽  
...  
Keyword(s):  
Health Care ◽  
Life Sciences ◽  
Scientific Data ◽  
Functional Requirements ◽  
High Quality ◽  
Community Profile ◽  
Value Sets ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify common metadata elements and their value sets. The resulting guideline covers elements of description, identification, attribution, versioning, provenance, and content summarization. This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data. The resulting metadata profile is generic and could be used by other domains with an interest in providing machine readable descriptions of versioned datasets.

scholarly journals The health care and life sciences community profile for dataset descriptions

2017 ◽  
Author(s):  
Michel Dumontier ◽  
Alasdair J G Gray ◽  
M. Scott Marshall ◽  
Vladimir Alexiev ◽  
Peter Ansell ◽  
...  
Keyword(s):  
Health Care ◽  
Life Sciences ◽  
Scientific Data ◽  
Functional Requirements ◽  
High Quality ◽  
Community Profile ◽  
Value Sets ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify common metadata elements and their value sets. The resulting guideline covers elements of description, identification, attribution, versioning, provenance, and content summarization. This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data. The resulting metadata profile is generic and could be used by other domains with an interest in providing machine readable descriptions of versioned datasets.

scholarly journals O controle de autoridade no domínio bibliográfico: os catálogos digitais

2018 ◽  
pp. 21-33
Author(s):  
Fabrício Silva Assumpção ◽  
Plácida Leopoldina Ventura Amorim da Costa Santos ◽  
Zaira Regina Zafalon
Keyword(s):  
Functional Requirements ◽  
Machine Readable ◽  
Resource Description

Por medio de una revisión de literatura, este estudio tiene por objetivo analizar el control de autoridades en los catálogos digitales. Para eso, se inicia con una breve introducción acerca del control de autoridades, contextualiza la automatización de las bibliotecas y el surgimiento de los catálogos digitales a partir de la década de 1960 y destaca algunos puntos de la historia de los catálogos digitales, tales como la creación de formatos MAchine-Readable Cataloging (MARC) para datos bibliográficos y de autoridad. Como síntesis de la comprensión actual del control de autoridades, se presentan los modelos conceptuales Functional Requirements for Authority Data (FRAD) y Functional Requirementsfor Subject Authority Data (FRSAD). Finalmente, se describe el modelo de datos utilizado en los catálogos digitales actuales y se concluye resaltando la presencia del control de autoridades en la historia de la Catalogación, la importancia de los modelos conceptuales FRAD y FRSAD, el retomar de los registros de autoridades en el código de catalogación Resource Description and Access (RDA), y la importancia de la comprensión del control de autoridades en el escenario actual de la Catalogación.

scholarly journals A Survey of Geospatial Semantic Web for Cultural Heritage

Heritage ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 1471-1498 ◽  
Author(s):  
Ikrom Nishanbaev ◽  
Erik Champion ◽  
David A. McMeekin
Keyword(s):  
Semantic Web ◽  
Cultural Heritage ◽  
Open Source ◽  
Web Based ◽  
Digital Cultural Heritage ◽  
New Ideas ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. Hence, this article surveys the state-of-the-art geospatial semantic web concepts, which are pertinent to the cultural heritage field. It then proposes a framework to turn geospatial cultural heritage data into machine-readable and processable resource description framework (RDF) data to use in the geospatial semantic web, with a case study to demonstrate its applicability. Furthermore, it outlines key free and open source semantic web and geospatial semantic platforms for cultural heritage institutions. In addition, it examines leading cultural heritage projects employing the geospatial semantic web. Finally, the article discusses attributes of the geospatial semantic web that require more attention, that can result in generating new ideas and research questions for both the geospatial semantic web and cultural heritage fields.

Application Profiles

2017 ◽  
pp. 1-15
Author(s):  
Karen Coyle
Keyword(s):  
Resource Description Framework ◽  
World Wide ◽  
Xml Schema ◽  
Dublin Core ◽  
Xml Documents ◽  
Framework Model ◽  
The World ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

Application profiles fulfill similar functions to other forms of metadata documentation, such as data dictionaries. The preference is for application profiles to be machine-readable and machine-actionable, so that they can provide validation and processing instructions, not unlike XML schema does for XML documents. These goals are behind the work of the Dublin Core Metadata Initiative in the work that has been done over the last decade to develop application profiles for data that uses the Resource Description Framework model of the World Wide Web Consortium.

scholarly journals Os Functional Requirements for Bibliographic Records no contexto da Web Semântica: as contribuições de Paul Otlet

2016 ◽  
Vol 28 (2) ◽  
pp. 143-157
Author(s):  
Elisabete Gonçalves de Souza ◽  
Darlene Alves Bezerra
Keyword(s):  
Conceptual Model ◽  
Resource Description Framework ◽  
Exploratory Research ◽  
Functional Requirements ◽  
Uniform Resource Identifier ◽  
Group I ◽  
Bibliographic Records ◽  
Description Framework ◽  
Stored Information ◽  
Resource Description

We examine how the conceptual model of Functional Requirements for Bibliographic Records is related to the notion of documentary unit attributed to Otlet and present in the Traité de Documentation, whose principles are applied to support the foundations of the Universal Bibliographic Repertory. In theoretical and methodological terms, this is an exploratory research with a historical and documentary nature that seeks to ascertain the classical assumptions of representation and organization of information and relate them to the context of the Semantic Web. We analyze the results of simulations of the application of the Functional Requirements for Bibliographic Records carried out in Acesso Livre à Informação Científica of Empresa Brasileira de Pesquisa Agropecuária to illustrate how Otlet's theses are applied to these digital bibliographies. We discuss the advantages of repositories for the modeling processes since the Dublin Core format allows the use of languages such as the Resource Description Framework for the description of metadata, which enhances information retrieval. We conclude by demonstrating how the principles of monograph, continuity and plurality are expressed in the entities in Group I of Functional Requirements for Bibliographic Records conceptual model, which reveals methodological affinities between the model and Otlet's theses. We point out that actions directed towards encouraging the description of bibliographic metadata in Resource Description Framework statements will, in the near future, allow each resource to be identified in a meaningful way through a universal identifier - Uniform Resource Identifier -, allowing the database records to be interconnected and access to the user to a huge amount of stored information, as stated by Otlet when developing the Universal Bibliographic Repertory.

scholarly journals Conversion of the English-Xhosa Dictionary for Nurses to a Linguistic Linked Data Framework

Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 274 ◽  
Author(s):  
Frances Gillis-Webber
Keyword(s):  
Data Model ◽  
Linked Data ◽  
Language Resources ◽  
The Public ◽  
Data Framework ◽  
Description Framework ◽  
Machine Readable ◽  
Methodological Guidelines ◽  
Resource Description ◽  
Language Pair

The English-Xhosa Dictionary for Nurses (EXDN) is a bilingual, unidirectional printed dictionary in the public domain, with English and isiXhosa as the language pair. By extending the digitisation efforts of EXDN from a human-readable digital object to a machine-readable state, using Resource Description Framework (RDF) as the data model, semantically interoperable structured data can be created, thus enabling EXDN’s data to be reused, aggregated and integrated with other language resources, where it can serve as a potential aid in the development of future language resources for isiXhosa, an under-resourced language in South Africa. The methodological guidelines for the construction of a Linguistic Linked Data framework (LLDF) for a lexicographic resource, as applied to EXDN, are described, where an LLDF can be defined as a framework: (1) which describes data in RDF, (2) using a model designed for the representation of linguistic information, (3) which adheres to Linked Data principles, and (4) which supports versioning, allowing for change. The result is a bidirectional lexicographic resource, previously bounded and static, now unbounded and evolving, with the ability to extend to multilingualism.

scholarly journals BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1677
Author(s):  
Toshiaki Katayama ◽  
Shuichi Kawashima ◽  
Gos Micklem ◽  
Shin Kawano ◽  
Jin-Dong Kim ◽  
...  
Keyword(s):  
Service Discovery ◽  
Query Language ◽  
Life Sciences ◽  
Open Data ◽  
Semantic Interoperability ◽  
Science Data ◽  
Rdf Data ◽  
Description Framework ◽  
Machine Readable

Publishing databases in the Resource Description Framework (RDF) model is becoming widely accepted to maximize the syntactic and semantic interoperability of open data in life sciences. Here we report advancements made in the 6th and 7th annual BioHackathons which were held in Tokyo and Miyagi respectively. This review consists of two major sections covering: 1) improvement and utilization of RDF data in various domains of the life sciences and 2) meta-data about these RDF data, the resources that store them, and the service quality of SPARQL Protocol and RDF Query Language (SPARQL) endpoints. The first section describes how we developed RDF data, ontologies and tools in genomics, proteomics, metabolomics, glycomics and by literature text mining. The second section describes how we defined descriptions of datasets, the provenance of data, and quality assessment of services and service discovery. By enhancing the harmonization of these two layers of machine-readable data and knowledge, we improve the way community wide resources are developed and published.  Moreover, we outline best practices for the future, and prepare ourselves for an exciting and unanticipatable variety of real world applications in coming years.

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