Presentation delivered at the Agricultural Data Interoperability Interest Group -- Research Data Alliance (RDA) 4th Plenary Meeting -- Amsterdam, September 2014
The new CIARD RING, a machine-readable directory of datasets for agricultureValeria Pesce
The CIARD RING, a global directory of datasets for agriculture, has been enhanced during the EC-funded agINFRA project. It has become a Linked Data hub that can be queried by other applications.
Presented at the 4th RDA Plenary Meeting in Amsterdam on 22/09/2014.
Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches.
References:
Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782.
Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61.
Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France.
Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043.
Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg.
Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing.
Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW.
Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS.
Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.
Enhancing Interoperability: The Implementation of OpenAIRE Guidelines and COA...4Science
ABSTRACT: The continuous work of the OpenAIRE community on guidelines for CRIS managers, literature repositories, and data archives, together with the publication of the “Behaviours and Technical Recommendations of the COAR Next Generation Repositories Working Group”, are raising important challenges for the CRIS and the repository communities, working together to make research information more an more interoperable, and, hopefully, open. The recommendations of the Open Science Policy Platform, published by the European Commission, identify FAIR (Findable-Accessible-Interoperable-Reusable) data among its priorities. In an interoperable world, all these indications lead toward a common direction, where implementers are encouraged to use open protocols, such as the OAI-PMH and ResourceSync, open standards such as CERIF, persistent identifiers such as DOIs and ORCiDs, to make this happen. The presentation will go through these challenges, illustrating how CRIS and repository managers should work together toward a successful information exchange, and exemplifying how a single free open platform, DSpace-CRIS, can implement both a CRIS and a repository and fulfill requirements for a FAIR environment for research information and research objects.
The new CIARD RING, a machine-readable directory of datasets for agricultureValeria Pesce
The CIARD RING, a global directory of datasets for agriculture, has been enhanced during the EC-funded agINFRA project. It has become a Linked Data hub that can be queried by other applications.
Presented at the 4th RDA Plenary Meeting in Amsterdam on 22/09/2014.
Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches.
References:
Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782.
Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61.
Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France.
Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043.
Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg.
Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing.
Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW.
Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS.
Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.
Enhancing Interoperability: The Implementation of OpenAIRE Guidelines and COA...4Science
ABSTRACT: The continuous work of the OpenAIRE community on guidelines for CRIS managers, literature repositories, and data archives, together with the publication of the “Behaviours and Technical Recommendations of the COAR Next Generation Repositories Working Group”, are raising important challenges for the CRIS and the repository communities, working together to make research information more an more interoperable, and, hopefully, open. The recommendations of the Open Science Policy Platform, published by the European Commission, identify FAIR (Findable-Accessible-Interoperable-Reusable) data among its priorities. In an interoperable world, all these indications lead toward a common direction, where implementers are encouraged to use open protocols, such as the OAI-PMH and ResourceSync, open standards such as CERIF, persistent identifiers such as DOIs and ORCiDs, to make this happen. The presentation will go through these challenges, illustrating how CRIS and repository managers should work together toward a successful information exchange, and exemplifying how a single free open platform, DSpace-CRIS, can implement both a CRIS and a repository and fulfill requirements for a FAIR environment for research information and research objects.
DSpace-CRIS slides presented at ORCID's Better Together webinar on 19.09.2019, full slide deck with ORCID introduction at https://doi.org/10.23640/07243.9884033.v2.
Video Recording available at https://vimeo.com/361523018
This presentation as been used to start the pilot phase of the OpenAIRE Advance' funded implementation project in DSpace-CRIS.
DSpace-CRIS now provide support for the OpenAIRE guidelines for CRIS manager in addition to the previous already supported guidelines for Literature Repository and DataArchive
Extending DSpace 7: DSpace-CRIS and DSpace-GLAM for empowered repositories an...4Science
Presentation given at OR2019 in Hamburg, Germany
In recent years there has been an increasing need to position institutional repositories in a broader context that enhances research opportunities and facilitates the discovery of resources. This presentation is about DSpace-CRIS and DSpace-GLAM, in their new version compatible with DSpace 7, with renewed features built with the updated technology stack of DSpace 7: Angular and REST API, their characteristics and novelties, and how their adoption can empower the role of repositories within academic, research, and cultural heritage institutions. The migration process for both DSpace-CRIS/GLAM and DSpace users that want to enhance their repository with the additional features and capabilities provided by version 7 will be presented. DSpace-CRIS and GLAM are continuously being aligned with DSpace versions and support is provided through the same community channels. Finally, the future roadmap of the project will be discussed, in the same way as in the last ten years when ideas and features blossomed in DSpace-CRIS were later adopted by the standard DSpace distribution. The community is numerous and growing and the exchange of experiences is beneficial for all organizations.
How to enhance your DSpace repository: use cases for DSpace-CRIS, DSpace-RDM,...4Science
Presented by Susanna Mornati at the 2019 DSpace North American User Group Meeting September 23 & 24, 2019 at the University of Minnesota in Minneapolis.
Abstract: DSpace-CRIS is a free open-source platform based on DSpace for Research Data and Information Management, adopted by a wide international community of universities and research centers: DSpace-CRIS Home. It complies with recommendations, open standards and technologies such as the OAI-PMH, SignPosting, and ResourceSync (recommended by the COAR Next Generation Repositories WG), it features complete ORCID integration, compliance with the CERIF model, the IIIF framework, and with the OpenAIRE Guidelines for Literature Repositories, Data Archives, CRIS Managers, to improve findability, accessibility, interoperability, and reuse of digital assets for research and cultural heritage. DSpace-CRIS collects and disseminates information about researchers' profiles, organizations, publications, patents, grants, awards, and all entities that populate the research domain and their relationships, besides storing and exposing full-text publications, datasets, and other relevant digital objects, providing persistent identifiers and long-term preservation capabilities. DSpace-RDM exposes datasets to visual exploration and M2M streaming for analysis thanks to the integration with CKAN. DSpace-GLAM enhances the fruition of the cultural heritage through the (crowd-funded) IIIF image viewer, providing remote fruition of cultural heritage and offering a great user experience. These flavors of DSpace allow to expose and share open data, open information, and open digital objects in a collaborative, interoperable, and sustainable way. The use cases of a variety of institutions in different countries and continents will be shared to show the use of this powerful technology.
Yosemite Project - Part 3 - Transformations for Integrating VA data with FHIR...DATAVERSITY
In our series on The Yosemite Project, we explore RDF as a data standard for health data. In this installment, we will hear from Rafael Richards, Physician Informatician, Office of Informatics and Analytics in the Veterans Health Administration (VHA), about “Transformations for Integrating VA data with FHIR in RDF.”
The VistA EHR has its own data model and vocabularies for representing healthcare data. This webinar describes how SPARQL Inference Notation (SPIN) can be used to translate VistA data to the data represented used by FHIR, an emerging interchange standard.
The presentation is about the new version of DSpace-CRIS 7, the enhanced, free, open-source extensions of DSpace adopted by more than one hundred institutions around the world to better collect, manage and disseminate information on their research activities and outputs. DSpace-CRIS has always anticipated the cutting edge innovation and technologies later included in the DSpace mainstream, and version 7 includes functionalities not available in DSpace 7.
FAIR Workflows and Research Objects get a Workout Carole Goble
So, you want to build a pan-national digital space for bioscience data and methods? That works with a bunch of pre-existing data repositories and processing platforms? So you can share FAIR workflows and move them between services? Package them up with data and other stuff (or just package up data for that matter)? How? WorkflowHub (https://workflowhub.eu) and RO-Crate Research Objects (https://www.researchobject.org/ro-crate) that’s how! A step towards FAIR Digital Objects gets a workout.
Presented at DataVerse Community Meeting 2021
DSpace-CRIS slides presented at ORCID's Better Together webinar on 19.09.2019, full slide deck with ORCID introduction at https://doi.org/10.23640/07243.9884033.v2.
Video Recording available at https://vimeo.com/361523018
This presentation as been used to start the pilot phase of the OpenAIRE Advance' funded implementation project in DSpace-CRIS.
DSpace-CRIS now provide support for the OpenAIRE guidelines for CRIS manager in addition to the previous already supported guidelines for Literature Repository and DataArchive
Extending DSpace 7: DSpace-CRIS and DSpace-GLAM for empowered repositories an...4Science
Presentation given at OR2019 in Hamburg, Germany
In recent years there has been an increasing need to position institutional repositories in a broader context that enhances research opportunities and facilitates the discovery of resources. This presentation is about DSpace-CRIS and DSpace-GLAM, in their new version compatible with DSpace 7, with renewed features built with the updated technology stack of DSpace 7: Angular and REST API, their characteristics and novelties, and how their adoption can empower the role of repositories within academic, research, and cultural heritage institutions. The migration process for both DSpace-CRIS/GLAM and DSpace users that want to enhance their repository with the additional features and capabilities provided by version 7 will be presented. DSpace-CRIS and GLAM are continuously being aligned with DSpace versions and support is provided through the same community channels. Finally, the future roadmap of the project will be discussed, in the same way as in the last ten years when ideas and features blossomed in DSpace-CRIS were later adopted by the standard DSpace distribution. The community is numerous and growing and the exchange of experiences is beneficial for all organizations.
How to enhance your DSpace repository: use cases for DSpace-CRIS, DSpace-RDM,...4Science
Presented by Susanna Mornati at the 2019 DSpace North American User Group Meeting September 23 & 24, 2019 at the University of Minnesota in Minneapolis.
Abstract: DSpace-CRIS is a free open-source platform based on DSpace for Research Data and Information Management, adopted by a wide international community of universities and research centers: DSpace-CRIS Home. It complies with recommendations, open standards and technologies such as the OAI-PMH, SignPosting, and ResourceSync (recommended by the COAR Next Generation Repositories WG), it features complete ORCID integration, compliance with the CERIF model, the IIIF framework, and with the OpenAIRE Guidelines for Literature Repositories, Data Archives, CRIS Managers, to improve findability, accessibility, interoperability, and reuse of digital assets for research and cultural heritage. DSpace-CRIS collects and disseminates information about researchers' profiles, organizations, publications, patents, grants, awards, and all entities that populate the research domain and their relationships, besides storing and exposing full-text publications, datasets, and other relevant digital objects, providing persistent identifiers and long-term preservation capabilities. DSpace-RDM exposes datasets to visual exploration and M2M streaming for analysis thanks to the integration with CKAN. DSpace-GLAM enhances the fruition of the cultural heritage through the (crowd-funded) IIIF image viewer, providing remote fruition of cultural heritage and offering a great user experience. These flavors of DSpace allow to expose and share open data, open information, and open digital objects in a collaborative, interoperable, and sustainable way. The use cases of a variety of institutions in different countries and continents will be shared to show the use of this powerful technology.
Yosemite Project - Part 3 - Transformations for Integrating VA data with FHIR...DATAVERSITY
In our series on The Yosemite Project, we explore RDF as a data standard for health data. In this installment, we will hear from Rafael Richards, Physician Informatician, Office of Informatics and Analytics in the Veterans Health Administration (VHA), about “Transformations for Integrating VA data with FHIR in RDF.”
The VistA EHR has its own data model and vocabularies for representing healthcare data. This webinar describes how SPARQL Inference Notation (SPIN) can be used to translate VistA data to the data represented used by FHIR, an emerging interchange standard.
The presentation is about the new version of DSpace-CRIS 7, the enhanced, free, open-source extensions of DSpace adopted by more than one hundred institutions around the world to better collect, manage and disseminate information on their research activities and outputs. DSpace-CRIS has always anticipated the cutting edge innovation and technologies later included in the DSpace mainstream, and version 7 includes functionalities not available in DSpace 7.
FAIR Workflows and Research Objects get a Workout Carole Goble
So, you want to build a pan-national digital space for bioscience data and methods? That works with a bunch of pre-existing data repositories and processing platforms? So you can share FAIR workflows and move them between services? Package them up with data and other stuff (or just package up data for that matter)? How? WorkflowHub (https://workflowhub.eu) and RO-Crate Research Objects (https://www.researchobject.org/ro-crate) that’s how! A step towards FAIR Digital Objects gets a workout.
Presented at DataVerse Community Meeting 2021
Interoperability is the key: repositories networks promoting the quality and ...Pedro Príncipe
Presentation from José Carvalho and Pedro Principe, University of Minho, at ETD 2019 Conference (22nd International Symposium on Electronic Theses and Dissertations), Porto, Nov 7, 2019.
Opening and Integration of CASDD and Germplasm Data to AGRIS by Prof. Xuefu Z...CIARD Movement
Presentation delivered at the Agricultural Data Interoperability Interest Group -- Research Data Alliance (RDA) 4th Plenary Meeting -- Amsterdam, September 2014
This presentation was provided by Vinod Chachra of VTLS Inc. during the NISO event "Next Generation Discovery Tools: New Tools, Aging Standards," held March 27 - March 28, 2008.
Here I motivate the need for improving the ways in which we access the integration favorable space of Linked Data, by bridging the gap between various Linked Data querying methods, getting links to these queries, and providing RESTful APIs based on them.
agINFRA EGI-APARSEN workshop, Amsterdam, 4-6 March 2014Andreas Drakos
Presentation of agINFRA project (www.aginfra.eu) in the EGI-APARSEN workshop, Amsterdam, 4-6 March 2014
“Managing, computing and preserving big data for research”
https://indico.egi.eu/indico/conferenceDisplay.py?confId=2052
Linked Media Management with Apache MarmottaThomas Kurz
The integration of multimedia assets on the web with structured (linked) data promises further opportunities for digital market places regarding findability and recommendations. The new W3C standards for Media Annotation, Media Fragment UIRs and Linked Data Platforms build a stable base for this purpose. Thomas Kurz shows how to use the Linked Data Platform Apache Marmotta as a backend for the storage and retrieval of Linked Media. In his talk he is going to show extensions for a seamless integration of media streaming for Non-RDF resources and spatio-regional media fragment retrieval with SPARQL.
Sheila Shefo Mbiru and Joseph Koech (Kenya Forestry Research Institute (KEFRI)) at the Forum on Open Data and Open Science in Agriculture on 15th June 2015
By Meoli Kashorda (PhD, MIEEE, Executive Director, KENET and Professor of Information Systems, USIU) at the Forum on Open Data and Open Science in Agriculture on 15th June 2015
Open Access Initiatives and Challenges in Kenya: UniversitiesCIARD Movement
by Ms. Jacinta Were (Consultant - Information Management & Capacity Building, Kenya) at the Forum on Open Data and Open Science in Agriculture on 15th June 2015
ICT Centre of Excellence and Open Data –iCEODCIARD Movement
Prof Muliaro Wafula PhD. FCCS,FCSK (Director ICT Centre of Excellence and Open Data –iCEOD, JKUAT) at the Forum on Open Data and Open Science in Agriculture on 15th June 2015
Open Data and Open Science in Agriculture : Experiences and Opinions CIARD Movement
by Prof Abukutsa Mary O. Onyango (Professor of Horticulture, Department of Horticulture: Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya) at the Forum on Open Data and Open Science in Agriculture on 15th June 2015
Open Access, Open Data and Open Science in the context of agricultural researchCIARD Movement
Introduction to the work that the Food and Agriculture Organization of the United Nations undertakes in the context of open access, open data and open science. Primarily, it will be introduced the activities related to the collaboration to provide open access to data with national, regional and international institutions, through international initiatives as CIARD, Global Open Data for Agriculture and Nutrition (GODAN) and Research Data Alliance (RDA). The speaker will also present the work on information provision through the AGORA program which facilitates free or low cost access to knowledge through partnership with major publishers and UN agencies. AGORA enables developing countries to gain access to an outstanding digital library collection in the fields of food, agriculture, environmental science and related social sciences. And thirdly, it will be highlighted the developing capacity activities to enable information management professionals to managed knowledge and data in agriculture, through the Agricultural Information Management Standards (AIMS) community of practice with more than 2,000 practitioners and information management workers worldwide. AIMS supports standards, technology and good practices for open access and open data in the agricultural domain.
Johannes Keizer, from FAO of the United Nations, at RDA 5th Plenary Meeting, IG Agriculture Data Interoperability Session in San Diego (CA, US) on the 9th of March 2015
Research Data Management at International Food Policy Research Institute-IFPRICIARD Movement
Luz Marina Alvaré, Head, Knowledge Management at IFPRI, at RDA 5th Plenary Meeting, IG Agriculture Data Interoperability Session in San Diego (CA, US) on the 9th of March 2015
Enabling Global Solutions for Agricultural and Nutrition Challenges through L...CIARD Movement
Chris Kollen, University of Arizona Libraries, at RDA 5th Plenary Meeting, IG Agriculture Data Interoperability Session in San Diego (CA, US) on the 9th of March 2015
RDA Wheat Data Interoperability Cookbook and last developmentsCIARD Movement
Esther Dzale, French National Institute for Agricultural Research (INRA), France, and Richard Fulss. International Maize and Wheat Improvement Center (CIMMYT), at RDA 5th Plenary Meeting, IG Agriculture Data Interoperability Session in San Diego (CA, US) on the 9th of March 2015
Turning three thesauri into a Global Agricultural Concept SchemeCIARD Movement
Cynthia Parr, National Agricultural Library, at RDA 5th Plenary Meeting, IG Agriculture Data Interoperability Session in San Diego (CA, US) on the 9th of March 2015
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
The CIARD RING, a global directory of datasets for agriculture, by Valeria Pesce
1. Research Data Alliance 4th Plenary Meeting
22-24 September 2014, Amsterdam
Agricultural Data Interoperability Interest Group
The CIARD RING
a global directory of datasets for agriculture
Valeria Pesce
Global Forum on Agricultural Research (GFAR)
agINFRA project
EC 7th framework program INFRA-2011-1.2.2 - Grant agr. no: 283770
2. The CIARD RING
The CIARD RING is
a global directory of web-based information
services and datasets for agriculture
http://ring.ciard.net
The CIARD RING is a project implemented within the
CIARD initiative and is led by the Global Forum on
Agricultural Research (GFAR).
3. Why (1)
- Producers and managers of information /
data need a place where their information
products can be found
- Data consumers need to find suitable data
sources
- IT professionals need information on the level
and mode of interoperability of information
services and datasets for using data in their
applications
4. Numbers and map
• 468 data providers
• 1018 information services, of which
– 268 exposed datasets
5. Definition of “dataset” in the RING
The term “datasets” has been defined in several ways, all of which
further specify or extend the basic concept of “a collection of data”.
Definition given by the W3C Government Linked Data Working Group:
A dataset is “a collection of data, published or curated by a
single source, and available for access or download in one or
more formats”
The “instances” of the dataset “available for access or
download in one or more formats” are called
“distributions”. A dataset can have many distributions.
Examples of distributions include a downloadable CSV
file, an API or an RSS feed.
6. Direct submission + federation
• All datasets currently featured in the RING have
been manually submitted by their owners /
managers
• BUT, We don’t want to force data owners who already have a
dataset catalog to catalog and maintain their datasets in two
places
We are working on procedures to federate
datasets from the most used dataset cataloguing
platforms (Dataverse, CKAN…)
First experiment started with the IFPRI Dataverse
dataset catalog
9. The RING machine interface – Why (2)
• Datasets registered in the RING have to be found by
applications
• Applications have to be able to read all the metadata about
datasets and filter datasets according to their needs
• Applications have to find enough technical metadata in the
RING to:
– Identify datasets with a specific coverage (type of data, thematic
coverage, geographic coverage)
– Identify datasets that comply with certain technical specifications
(format, protocol etc.)
– Access the dataset and get the data
This machine-readable layer can support the data
aggregation workflows of external services
10. The RING machine interface – SPARQL
The RING database is also an accessible RDF store.
SPARQL endpoint
http://ring.ciard.net/sparql1
An RDF store is a way of storing data using a machine-readable
"grammar" (the Resource Description Framework)
and documented semantics (RDF vocabularies).
URIs
The URI for each service / dataset is built as follows:
RING-domain/node/service-ID.
For example: http://ring.ciard.net/node/2417
11. SPARQL how to: vocabularies
The vocabularies used in the RDF store are:
• RDF: http://www.w3.org/1999/02/22-rdf-syntax-ns#
• RDFS: http://www.w3.org/2000/01/rdf-schema#
• DC: http://purl.org/dc/terms/
• DCAT: http://www.w3.org/ns/dcat#
• ADMS: http://www.w3.org/ns/adms#
• FOAF: http://xmlns.com/foaf/0.1/
• DOAP: http://usefulinc.com/ns/doap#
• SKOS: http://www.w3.org/2004/02/skos/core#
• VCARD: http://www.w3.org/2006/vcard/ns#
The data model chosen to describe datasets is the
W3C Data Catalog Vocabulary (DCAT)
designed to describe datasets
and the forms in which they are exposed, their "distributions"
13. SPARQL how to: URIs?
All the URIs that you may need in queries are
listed on the RING web site
• A list of the URIs of all the RING
entities (services/datasets, organizations,
KOSs etc.)
• A list of the URIs of all RING
concepts (countries, topics, regions, protocols
etc.)
16. Example of use: AGRIS RING
1. How AGRIS uses the RING Linked Data
AGRIS (http://agris.fao.org): database of more than 7
million bibliographic references on agricultural research
and technology and links to related data resources on
the Web.
AGRIS retrieves information on AGRIS centers through a
SPARQL query run against the RING.
<http://ring.ciard.net/node/10687> is the uRI of the
AGRIS network in the RING
------------------------------
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX dc:
<http://purl.org/dc/terms/> PREFIX dcat: <http://www.w3.org/ns/dcat#> DESCRIBE
?dataset WHERE { ?dataset rdf:type dcat:Dataset . ?dataset dc:partOf
<http://ring.ciard.net/node/10687> }
------------------------------
17. Example of use: AGRIS RING
2. How to get AGRIS Linked Data bibliographic records for each AGRIS
center
In the AGRIS RDF store, all bibliographic records are
associated to the corresponding AGRIS center through
the dcterms:source property: the URI used to identify
the AGRIS center is the RING URI.
Any application can therefore retrieve all records
belonging to an AGRIS center by running a query
against the AGRIS SPARQL endpoint
(http://202.45.139.84:10035/catalogs/fao/repositories
/agris).
------------------------------------
PREFIX dcterms: <http://purl.org/terms> DESCRIBE ?rec WHERE { ?rec dcterms:source
<http://ring.ciard.net/node/2754> . }
-----------------------------------
18. Interoperability assessment in the RING
The technical metadata registered in the RING for
each dataset provide enough information to give a
good idea of the level of “interoperability” of that
dataset.
“Interoperability is a feature of datasets— and of information
services that give access to datasets— whereby data can easily
be retrieved, processed, re-used, and re-packaged (“operated”)
by other systems. The less pre-coordination required to achieve
this, the more “interoperable” the dataset.”
[from: Interim Proceedings of International Expert Consultation
on “Building the CIARD Framework for Data and Information
Sharing”, Beijing 20-23 June 2011. 2011.]
19. Metadata Type Interoperability points Tim Berner Lee’s stars
For the service/dataset in general
1 Global coverage Select list 4 if not empty
2 Regional coverage (FAO) Select list 4 if not empty
3 Regional coverage (GFAR) Select list 4 if not empty
4 National coverage Select list 4 if not empty
5 Specific topic (AGROVOC) Autocomplete multiple
(authority: AGROVOC)
8 if not empty
6 Type of content/data managed Autocomplete multiple 4 if not empty
7 KOSs used Select list multiple
(authority: VEST Registry)
10 for each KOS used 5 IF you already have 4
8 Special instructions for getting
data from this service
Text 3 if not empty
9 Examples Text multiple 2 for each example
For each distribution of the
dataset
10 URL / target / endpoint Text 30 if not empty 1
11 File upload Upload 10 if not empty 1
12 Access / licensing Autocomplete 4 if half-open; 6 if free / open; 8 if
formally open (OA, CC)
0.5 if half-open; 1 if open; 1.5 if
open and known license e.g. CC
13 License URL Text: URL 7 if not empty 0.5
14 Protocol Select list 10 ftp/download; 20 OAI-PMH or
web service; 30 if SPARQL
1 if ftp/download; 3 if OAI-PMH or
RSS; 4 if SPARQL
15 Format / serialization / notation Select list
(authority: subset of IANA
types)
5 Excel; 10 CSV, XML; 12 JSON; 15
RDFXML; 20 JsonLD, ntriples-n3-
turtle)
2 if Excel; 3 if CSV, XML, JSON; 4 if
JsonLD, RDFXML, ntriples-n3-turtle
16 Metadata set(s) used Select list
(authority: VEST Registry)
6 for each metadata set 2.5
17 Does the dataset use URIs? Yes/No 20 if yes; OR: multiply 15 by n. 10 4 (OR: 4 IF you already have 3)
18 Does the dataset link to external Yes/No 20 if yes; OR: multiply 15 by n. 15 5 (OR: 5 IF you already have 3)
20.
21. Thank you
Thank you for your attention
Valeria Pesce
valeria.pesce@fao.org