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[WEBINAR SCHEDULE CHANGE]

Implementing Linked Data in Low-Resource Conditions DCMI/ASIST Joint Webinar

==================================================================== *:: Time:* 10:00am EDT (World Clock: 14:00 UTC http://bit.ly/webinar-keiser) *:: Presenters:* Johannes Keizer & Caterina Caracciolo *::* *REVISED DATE**:* Wednesday, 9 September 2015 *:: Webinar Website:* http://wiki.dublincore.org/index.php/DCMI_Handbook/webinars#keizer *:: Registration:* https://attendee.gotowebinar.com/register/4753836746115031554

*:: If you have already registered for the original date of this webinar, you do not need to re-register. * ====================================================================

*ABOUT THE RESCHEDULED WEBINAR:*

Opening up and linking data is becoming a priority for many data producers because of institutional requirements, or to consume data in newer applications, or simply to keep pace with current development. Since 2014, this priority has gaining momentum with the Global Open Data in Agriculture and Nutrition initiative (GODAN). Typical small and medium-size institutions have to deal with constrained resources, which often hamper their possibilities for making their data publicly available. Keizer and Caracciolo will provide an overview of bottlenecks that institutions typically face when entering the world of open and linked data, and will provide recommendations on how to proceed. They will also discuss the use of standard and linked vocabularies to produce linked data, especially in the area of agriculture. They will describe AGRISAs, a web-based resource linking agricultural datasets as an example of linked data application resulting from the collaboration of small institutions. They will also mention AgriDrupal, a Drupal distribution that supports the production and consumption of linked datasets. This webinar will be of interest to any institution seeking ways to publish and curate data in the Linked Data World.

*Redux:* This is an update of a webinar first presented in 2013.

*ABOUT THE PRESENTERS:*

Johannes Keizer has worked for the Food and Agriculture Organization of the UN since 1998, primarily as head of the FAO documentation group. The bibliographic database AGRIS and the multilingual concept scheme AGROVOC were completely remodeled under his leadership. In the Office of Knowledge Exchange, Research and Extensions, he heads a staff of 20—the AIMS (Agricultural Information Management Standards and Services) team—which provides standards, tools, and advice for FAO stakeholders. The AIMS Team provides the technical backbone for the global Coherence in Information for Agricultural Research for Development (CIARD) Initiative. Through EC framework projects such as NeON, D2Science, and agINFRA, the AIMS Team has channeled the results of innovative European research into the international work of FAO to combat hunger and poverty in the world.

Caterina Caracciolo, PhD, has served as an Information Specialist at the Food and Agriculture Organization of the United Nations (FAO) since 2006. Currently, she is responsible for the AGROVOC Concept Scheme, and participates in the GACS Working Group and the Wheat Data Interoperability Working Group (RDA). Her main interest lay in the area of semantics for data integration and sharing, with a special focus on data specific to the domains of agriculture, biodiversity, natural science and environment in the broad sense. She regularly serves on program committees for international conferences and publishes in conference proceedings and journals in the area of semantic web and information sharing in agriculture and biodiversity. She has worked in various EC-funded projects and served as also served as Work Package leader in the NeOn and SemaGrow projects.

*For more information and to register, visit* http://wiki.dublincore.org/index.php/DCMI_Handbook/webinars#keizer. *Register now for FREE at* https://attendee.gotowebinar.com/register/4753836746115031554.

*If you have already registered for the original date/time of this webinar, you do not need to re-register. *