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7 results for “Data interoperability”
ShareTrait: a data portal for making trait data interoperable and reusable
<p><strong>Scope</strong></p> <p>This dataset provides the SQL version of the ShareTrait database, corresponding to <strong>ShareTrait version 1.2.0</strong>. It represents the structured database equivalent of the previously published dataset, <strong>ShareTrait: a data portal for making trait data interoperable and reusable</strong>, version 1.0.0 (Zenodo, July 12, 2023, <a href="https://doi.org/10.5281/zenodo.8138904" target="_new" rel="noopener">DOI: 10.5281/zenodo.8138904</a>). This version includes the database file, an SQL query, and the resulting output file generated from the SQL query. </p> <p><strong>Dataset content</strong></p> <p>The repository provides:</p> <ul> <li><strong>ShareTrait-database-v1.2.0.db</strong> : the database file.</li> <li><strong>master-query-all.sql</strong> : SQL query used for reconstructing the dataset.</li> <li><strong>master-query-output.csv</strong> : SQL query output file .</li> <li><strong>ShareTrait-dataset-database-mapping.csv</strong> : mapping of attribute fields from the SQL query output to the corresponding attributes in <a href="/records/8138904/files/ShareTrait_MetaData_v1.0.0.csv?download=1">ShareTrait_MetaData_v1.0.0.csv</a>, with relevant column name = "Column_name", version 1.0.0 (<a href="https://doi.org/10.5281/zenodo.8138904" target="_new" rel="noopener">DOI: 10.5281/zenodo.8138904</a>)</li> </ul> <p><strong>Access and usage</strong></p> <p>Files and documentation are available on GitHub: <a href="https://github.com/ShareTraitProject" target="_new" rel="noopener">ShareTrait Project</a>. Users can execute the SQL query by using either SQLiteStudio or SQLite3. Detailed instructions are provided in this repository <strong>README</strong>.</p> <p><strong>Citation</strong></p> <p>When using this dataset, please provide the following citation:</p> <p>Leiva, F., Ellers, J., Berg, M. P., Cuxart-Erruz, R., Barneche, D., Blackburn, T., Castañeda, L. E., Chown, S., Gaitán-Espitia, J. D., Gebauer Mery, P. H., Gomez Isaza, D., Hardy, I., Hermaniuk, A., Hirst, A., Jorissen, S., Keasar, T., Koene, J. M., Le Lann, C., Martorelli, I., Molinet C., Niklitschek E.J., Oliveira B., Olivier B., Orizaola G., Pilakouta N., Shameer K.S., Shokri M., Stoks R., Tougeron K., Tuni C., van de Pol I.L.E., van Dis N.E., Visser B., Vogels J., White C.R., Wu N., and Verberk W. (2025). ShareTrait: a data portal for making trait data interoperable and reusable (version 1.2.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.14826294" target="_new" rel="noopener">https://doi.org/10.5281/zenodo.14826294</a></p> <p>For further information, please contact: <a rel="noopener">i.martorelli@vu.nl</a></p>
Dataset created in the context of the project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field"
<p>The project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field", whose website is https://datause.es/, is a project funded by the Ministry of Science and Innovation - State Research Agency, with reference PID2019-105708RB-C22.</p> <p>Within the framework of the project, a bibliographic search is carried out in all thematic categories of the Web of Science (WoS) related to agriculture and related areas. The search equation included the following categories:</p> <p><strong>WC </strong>= (FOOD SCIENCE TECHNOLOGY OR PLANT SCIENCES OR FORESTRY OR AGRICULTURAL ENGINEERING OR AGRONOMY OR HORTICULTURE OR AGRICULTURE DAIRY ANIMAL SCIENCE OR AGRICULTURE MULTIDISCIPLINARY OR AGRICULTURAL ECONOMICS POLICY) </p> <p>This data set shows the distribution of journals and the quartile they occupy in each of the thematic categories in 2019, with the aim of serving researchers in this area and for future data mining.</p>
Dataset for 'A Resource Hub For Interoperability And Data Integration In Heritage Research: The H-Setis Database'
<p> Data and scripts for charts and maps published in "A Resource Hub For Interoperability And Data Integration In Heritage Research: The H-Setis Database".</p>
FAIRsFAIR Data of Survey on Semantics and interoperability solutions
<p>As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The work package "WP2 FAIR Practices: Semantics, Interoperability, and Services" will produce three reports on FAIR requirements for persistence and interoperability to identify domain-specific standards and practices in use. These will review and document commonalities and possible gaps regarding semantic interoperability, and the use of metadata and persistent identifiers across infrastructures. They will also look into differences in terms of standards, vocabularies and ontologies. The collected information will be updated during the course of the project in cooperation with other tasks and EOSC projects.</p> <p>This survey was done to complement and validate the information from desk research for the first of these reports. It was aimed at data managers and data support experts. We hoped to get information about tools and services we might have missed, but also some reflections on the thinking around identifiers and ontologies and other semantic artefacts. The information was also collected to support preparing workshops on semantics and interoperability that are forthcoming in the project, as well as the work on software and services. The survey covers questions about metadata, use of persistent identifiers, use of semantic artefacts and handling research software.</p> <p>The survey was conducted as a joint effort with WP3, FAIR Policy and Practice and its open consultation, and was disseminated on the fairsfair.eu web pages, social media channels and via email lists. We received 66 answers during the period the survey was open, that is between 15 July to 2 October 2019.</p>
Persistence and interoperability in FAIR research data management - 1st FAIRsFAIR webinar
<p><strong>Webinar page: </strong>https://zenodo.org/record/3726149#.XnpRJXJ7k1k</p> <p>The main principles of FAIR data (findable, accessible, interoperable and reusable) have received wide acceptance in scientific data management circles. The work of further defining these principles and applying them in day-to-day knowledge sharing is ongoing.</p> <p>The FAIRsFAIR working group "<a href="https://www.fairsfair.eu/fair-practices-semantics-interoperability-and-services">FAIR practices: semantics, interoperability and services</a>" recently published the <a href="http://zenodo.org/record/3557381#.XiVxKSN7nIV">first iteration</a> of three annual reports on the state of FAIR in European scientific data. Based on studies of public information, especially EOSC infrastructure efforts, and on limited surveying and interviews, the report reviews and documents commonalities between infrastructures and obstacles to semantic interoperability - that is the use of metadata and persistent identifiers to enhance dissemination across infrastructures.</p>
EIAH data model: semantic interoperability between distributed digital repositories
<p>The authors described their information architecture project aimed at improving access to the Encyclopaedia of Iranian architectural history (EIAH) by signalling relationships between concepts and between concepts and documents. The outcome will be presented in a semantic portal or might be used for complex search queries by end users.</p>
[Data] "Factors Influencing the Strategic Governance of EHR Interoperability: A Rapid Literature Review"
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