Congrats Fletcher Class of 2025!
Congratulations to the Fletcher Class of 2025!
We support you and are here for you.
Visit our Information for Alumni page to stay connected.
Congratulations to the Fletcher Class of 2025!
We support you and are here for you.
Visit our Information for Alumni page to stay connected.
Applying for NSF funding? Join Tisch Library for a Zoom workshop on NSF Data Management and Sharing Plans.
All NSF proposals must include a two-page Data Management and Sharing Plan (DMSP), outlining how your research data will be managed, shared, and preserved. This workshop will cover the general NSF guidelines for writing a DMSP, directorate/division-specific guidance, and how to use DMPTool to find DMSP templates. We’ll discuss your options for meeting NSF data sharing requirements, as well as best practices that can enhance your plan.
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
“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 we will review some PKM principles, review various information management tools freely available to Tufts students and share practical techniques you can apply to become a more efficient and effective knowledge worker.
Learn how to use online resources to create customized lists of organizations in the private and public sector by region and specialization. Also how to download these lists to Excel for further analysis.
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 other sources available at Tufts for PE/VC finance information.
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.
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 include a review of statistical data features in Euromonitor Passport, Economist Intelligence Unit (EIU), IHS Connect, PRS CountryData.com, World Development Indicators as well as other resources available from Ginn Library’s website. Types of data reviewed for countries and worldwide include: socio-economic and political risk indicators, forecasts, digital and traditional socio-economic indicators, sector and demographic statistics, company/brand market share, etc.