The problem to be addressed
The problem of discovery of information for food-borne diseases, food alerts, outbreaks and recalls has been stressed as a problem with major importance by global initiatives like the Global Food Safety Partnership (GFSP) that works on improving the capacity building for food safety.
Addressing related data challenges will allow scientists to find food-borne diseases information in order to analyse and correlate the data and to create notifications about food safety issues. Apart from the data and technological enablers the most important prerequisite for applying state of the art text analysis techniques is the availability and openness of information regarding the food-borne diseases, outbreaks, food alerts and recalls.
- The SemaGrow SPARQL Endpoint API: http://22.214.171.124:8080/SemaGrow
- The Green Learning Network (GLN) API (agINFRA-powered): Green Learning Network (GLN) is a data pool of high quality educational resources related to agriculture and biodiversity. It includes a big variety of collections and the dataset is organised per collection. For more details on how to access GLN data pool through its API visit this page: http://api.greenlearningnetwork.com/search-api and focus on the akif data type.
- The Agricultural Bibliographic Network (ABN) API (agINFRA-powered): The Agriculture Bibliographic Network (ABN) API currently provides access to a small subset of AGRIS data pool that totally contains million bibliographic references on agricultural research and technology. For more details on how to use AGRIS API through its API visit this page http://api.greenlearningnetwork.com/search-api and focus on the agrif data type (http://api.greenlearningnetwork.com/search-api/v1/agrif?q=* )
- Publications, reports, classification and monitoring data available by the European Food Safety Authority (http://www.efsa.europa.eu)
- The Rapid Alert System for Food and Feed System (http://ec.europa.eu/food/safety/rasff/index_en.htm) and specifically its machine interfaces such as the SPARQL end point that can be used to perform sophisticated queries on historical data about food alerts, recalls and measures taken by the national authorities
- The Center of Science in the Public Interest (http://www.cspinet.org) and specifically a) the outbreaks database (http://www.cspinet.org/foodsafety/outbreak/pathogen.php) that tracks food-borne illness outbreaks in US since 1997 and b) the database of outbreaks reports (http://cspinet.org/foodsafety/outbreak_report.html)
- The Centers for Disease Control and Prevention (http://www.cdc.gov) and specifically the database of the food-borne outbreaks reports
- Information about food safety published by the International Food Policy Research Institute (http://www.ifpri.org) and specifically machine interfaces such as the SPARQL end point that the institute is providing (http://data.ifpri.org/sparql)
Inspiration and relevant links
- Reports published by the Food Safety International (http://www.safefoodinternational.org)
- Social Media such as twitter that can be used to indentify food-borne disease incidents reported directly by food consumers (see this article: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785982)
- Data about search queries related to food safety incidents from search engines like Google and Yahoo (see this article: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785982)
Contact challenger (name, email, Skype, mobile)
Dr. Charalampos Thanopoulos