This session will review the advanced search commands and analysis features available in Dow Jones Factiva. Data gathered can be used to examine global political, economic and business content from over 14,000 newspapers, magazines and other major journals like Foreign Affairs available in this database. Content is available in over 20 languages; and in addition to current news the platform has an archive of news content back to the 1980s.  Location: Ginn Library Rm.

R is an open-source statistical programming language used to manipulate, analyze, and visualize data. In this hands-on workshop, users will be introduced to R packages used for data visualization using a sample data set.

Prior experience with R OR completion of Ginn's "Introduction to R" workshop is recommended.

Tufts Libraries have hundreds of databases, journals, books and other resources to choose from. Learn more about access to library resources with search strategies to find what you need and advanced search techniques such as wildcard searching, Boolean operators, finding related citations, subject searching, and use of filters to refine results.

R is an open-source statistical programming language used to manipulate, analyze, and visualize data. The flexibility of R allows large amounts of data to be processed and represented in ways that spreadsheet programs cannot. This introductory, hands-on workshop provides a brief overview of how R works and what it is capable of. You will walk away with the fundamentals of how to code in R through the creation of a R script with a sample dataset.

No prior experience with R or programming languages is required.

“More successful students are usually very adept at managing their own personal knowledge” (Garner, 2010). But what is personal knowledge management (PKM) and what are its components? In this workshop following key PKM principles, various information management tools and practical techniques will be reviewed that you can apply to become a more efficient and effective in locating, organizing and using information in your research work.    

“More successful students are usually very adept at managing their own personal knowledge” (Garner, 2010). But what is personal knowledge management (PKM) and what are its components? In this workshop following key PKM principles, various information management tools and practical techniques will be reviewed that you can apply to become a more efficient and effective in locating, organizing and using information in your research work.    

Want to learn more about using Bloomberg, a financial services resource with real time business data?  This session will review finding equity and industry data on Bloomberg and how this resource complements other databases Fletcher has for financial information.  It will also cover locating bonds, indices, currencies, where to find deal and VC/PE investment related information, ESG (Environmental, Social & Governance) information, how to access it and answer any other questions you might have about Bloomberg.

This session will review how to use the Pitchbook database for locating information on private and public companies, new industry sectors, entrepreneurial finance as well as firms and deals in the impact investment space.  It will also highlight the use of this source for locating people and investment information. 

In this workshop, you will learn how to use Zotero, a citation management tool for capturing book, article, webpage and other citations.

Zotero integrates with Word to facilitate the creation of in-text citations, footnotes, and bibliographies in your selected style.

It can also help you organize, tag, and add notes to citations/resources as you find sources and conduct your research.

This session will include a review of statistical data features in the Economist Intelligence Unit (EIU), PRS CountryData.com, Statista, World Development Indicators as well as other resources available from Ginn Library’s website.  Types of data reviewed for countries and worldwide will include socio-economic and political risk indicators, forecasts, digital and traditional socio-economic indicators, sector and demographic statistics, company/brand market share, etc.