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Researcher Tools, Services and Support

The purpose of this guide is to provide resources and information to the UMass Medical School community about the Library's research and scholarly communication services.

2024

Upcoming Seminars

June Seminar Topic: Misinformation/ Disinformation

Workshop Recordings and Slides

Communicating your findings effectively and reproducibly using R and ggplot2

Communicating your findings effectively and reproducibly using R and ggplot2 class webpage

Recording from 2023 session

Introduction to R and RStudio

Introduction to R and RStudio class webpage with links

Introduction to Systematic and Scoping Reviews

Health Data Highlights of ICPSR

Finding Data: A Workshop

Previously recorded on June 2022. Slides from 2024 workshop.

2023

Workshop Recordings

Putting your best academic foot forward: Managing your Scholarly Profile

Perfecting your NIH Biosketch: A SciENcv Workshop

Perfecting your NSF Biographical Sketch: A SciENcv Workshop

Introduction to Library Research Support: Start the academic year by discovering new resources for your UMass Chan success

Preprints: Accelerating the availability of research

eScholarship@UMassChan: Share UMass Chan Research with the World

Say it with Pictures: Tips, Tricks, and Best Practices for Data Visualization and Visual Abstracts

Recording from a repeat presentation for the Advance faculty development series

Change is in the Air: New NIH Data Sharing Requirements and How to Meet Them

The following recording is for a previous iteration of this webinar recorded on December 6, 2022.

Using the DMPTool for your NIH Data Management and Sharing Plan

2021-2022

Workshop Recordings

Perfecting your Biosketch: A SciENcv Workshop

Citation Manager Workshop: Zotero and Endnote

Research Data Management 101: Elements of a Data Management and Sharing Plan

Cleaning Data Using OpenRefine

Finding Data

You've got the data, now what? Communicating your findings effectively with Excel charts

You’ve got the data, now what? Communicating your findings effectively and reproducibly using charts produced with R and ggplot2

2020-2021


Highlighted Databases