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FSTA – For expert research in the Sciences of Food and Health
FSTA - Food Science and Technology Abstracts is a specialized database covering scientific and technological literature relating to food, beverages and nutrition. It is managed by a team of expert scientists at IFIS, a not-for-profit organization committed to helping the global food community find and explore trustworthy information directly related to the sciences of food and health. Covering a wide range of interdisciplinary
content, from journal articles and trade publications to conference proceedings and industry patents, FSTA is full of high-quality scientific abstracts – with approximately 1,700 new entries added every week.
Content Includes: • More than 1,500,000 records with informative abstracts
• Records dating back to 1969 • Over 1,000 journals currently covered with historical coverage of over 4,000 journals
• Information sourced in 29 languages from 60 countries
• Records indexed against the IFIS Thesaurus’ more than 13,000 subject keywords, providing an efficient search functionality
Authoritative Content and Expertly- Crafted Indexing FSTA enables researchers and students to quickly and easily find relevant information that they can trust. FSTA is closely managed by a team
of expert scientists, who rigorously vet additions and sources for value and relevance to the sciences of food and health. Every abstract in FSTA is indexed against the world’s most comprehensive subject- specific food and beverage thesaurus, for effective, targeted searching. Containing thousands of terms created and structured into food-centric hierarchies, the thesaurus uses controlled keyword terms to overcome variability in author terminology and scientific nomenclature, helping users to efficiently retrieve information and refine results.
For a free trial, visit
https://trustfsta.is/4
MathSciNet® – The Most Comprehensive Mathematics Database Available
This electronic publication of the American Mathematical Society (AMS) offers access to a carefully maintained and easily searchable database of reviews, abstracts and bibliographic information for mathematical sciences literature.
Unique Identification of Authors “Unique identification of authors, an unusual offering in subject databases and an important feature in MathSciNet®, makes it possible to identify and follow an author’s work easily and accurately,” according to “The Value of Subject Indexes Developed by Experts” in Library Journal.
Expert-written Reviews of Current Literature
Continuing in the tradition of the paper publication, Mathematical Reviews (MR), which was first published in 1940, experts are selected by a staff of professional mathematicians to write reviews of the current published literature. Over 100,000 new items are added to the database each year. Extending the MR tradition, MathSciNet contains millions of items and direct links to original articles from over 1,800 journals. Bibliographic data from retrodigitized articles dates back to the early 1800s.
EBSCOhost and EBSCODiscovery Service MathSciNet is available via EBSCOhost and EBSCO Discovery Service, which provide the ability to search indexed fields such as author, institution and MSC Primary and Secondary Classifications, and allow mathematics librarians, students and faculty the opportunity to easily link to related full text in the library’s collection.
Content in MathSciNet Includes: • •
More than 3.8 million items
More than 100,000 new items are added each year
• •
Expert-written reviews of mathematical literature
More than 2.5 million direct links to original articles from over 1,800 journals
For a free trial, or more information, visit
www.ebsco.com/mathscinet Contact your local EBSCO office:
https://www.ebsco.com/offices
An exciting new way to access your patron-usage data with OpenAthens
With OpenAthens, you can now enhance your data-driven decision making with our Reporting API. This new feature allows you to easily
extract OpenAthens patron-usage data into existing data visualisation software, enhancing your capability to make data- based decisions for the benefit of your library.
The power of the Reporting API Data-driven decision making is now easier than ever. Export your patron-usage data from your OpenAthens dashboard to external platforms such as Tableau or Power BI. You can then combine your different
organisational datasets with this OpenAthens data to create a more accurate picture of digital student behaviour. For example, demonstrate the link between your library usage and academic performance for students and staff, or match online engagement trends with other events within the academic year. You could also create a more comprehensive picture of student welfare by understanding patterns that lead to decreased online engagement, helping you to support students further in a time of online-learning. If you are interested in finding out
how this can benefit your organisation specifically, please speak to your OpenAthens account manager or email
contact@openathens.net. Not a customer of OpenAthens? Visit our website to find out more and get in touch!
To request a demo, visit
openathens.org
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