Scientific Writing Resources

As generative AI tools have become increasingly available to academic researchers, so too have the reports of GPT-fabricated scientific papers creeping into the public scholarly record, for example, this 2024 report from the Harvard Kennedy School:

GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation | HKS Misinformation Review

Developing strong scientific writing skills has always been an important component of graduate training in the basic sciences, however, not all scientific authors have the same degree of exposure to writing classes and authorship opportunities. As the burden of recognizing fake papers is falling more and more on the readers of scientific works, there couldn’t be a better way to protect yourself against fraudulent articles than by becoming an expert at scientific writing yourself.

Here’s some resources to explore if you wish to develop your scientific writing skills:

1) E-books from the MSK Library’s collection and full-text book chapters available online

2)     Duke Graduate School Scientific Writing Resource
https://sites.duke.edu/scientificwriting/
“The Scientific Writing Resource is online course material that teaches how to write effectively. The material is not about correctness (grammar, punctuation, etc.), but about communicating what you intend to the reader. It can be used either in a science class or by individuals. It is intended for science students at the graduate level.”

“This guide to scientific writing was originally created in 2010-2011 by Nathan Sheffield for the Duke University Graduate School and funded by a Duke University Graduate School Teaching mini-grant. This current site is maintained by the Duke Graduate School. If you have questions about this site, please contact gradschool@duke.edu.”

The MSK Library also provides access to writing support tools, including:

1)     Citation Management tools – https://libguides.mskcc.org/citationmanagement  

Find out about a variety of citation management software tools that can save you time when you are formatting your manuscript’s references and bibliography.


2)     Trinka AI – https://libguides.mskcc.org/trinka

“Trinka is an AI-powered writing assistant designed for academic and technical writing. Trinka corrects advanced grammar errors and contextual spelling mistakes by providing writing suggestions in real-time. It helps academicians write in a formal, concise, and engaging manner. In addition to correcting grammatical errors, Trinka allows you to paraphrase the text and improve consistency, enabling you to enhance the quality of your writing based on your requirements.”

3)     iThenticate – https://libguides.mskcc.org/ithenticate

“iThenticate is a tool for researchers and writers to check their original works for potential plagiarism. This resource will check against 93% of Top Cited Journal content and 70+ billion current and archived web pages.” 

Questions? Ask Us at the MSK Library!

Availability of Removed Federal Data

As you may have read in the news or experienced while looking for government data and websites, recent federal government mandates have led to online information removal.

A 2/5/25 screenshot of the Youth Risk Behavior Surveillance System website that includes the message, "CDC’s website is being modified to comply with President Trump’s Executive Orders."

A 2/5/25 screenshot of the Youth Risk Behavior Surveillance System website that includes the message, “CDC’s website is being modified to comply with President Trump’s Executive Orders.”

Several sources have worked to preserve deleted information:

General
End-of-Term Project
This project has been in existence since the 2008 administration change.
GovDiff.com
A tool to compare government websites before and after January 20, 2025.

Climate
Climate and Economic Justice Screening Tool (Council on Environmental Quality, Executive Office of the President, copy)
Environmental Justice Index (CDC, 2022 and 2024 data) – Does not work on the VPN
Environmental Justice Scorecard (EPA, copy)
Sea level data (NOAA)

Health
Social Vulnerability Index (CDC, 2022 data) – Does not work on the VPN
Youth Risk Behavior Surveillance System (YRBSS) National Datasets, (CDC, 1991-2021 data)
Office of Research on Women’s Health website (NIH, copy)  
Additional CDC and NIH data
CDC data is also available for a fee through PolicyMap

The Healthy Regions & Policies (HeRoP) Lab at the University of Illinois is saving datasets from the CDC, EPA, Health Resources and Services Administration (HRSA), and more relating to social and structural determinants of health.

Harvard Law School Library’s Innovation Lab is working on a vault for government data, which should be made available soon.

Read more from 404 Media, The Journalist’s Resource, and Stat News. And follow the International Association for Social Science Information Service and Technology’s (IASSIST) Google Doc for a constantly updated list of resources.

NCI’s Cancer Data Science Course

With International Love Data Week 2025 just around the corner, you might be wondering how data science could be leveraged in your own cancer research projects. Luckily, the National Cancer Institute’s Center for Biomedical Informatics & Information Technology (CBIIT) has been developing some wonderful training resources designed to help clinical oncologists and cancer researchers build their basic cancer data science skills – see https://datascience.cancer.gov/training.

Whether you have the time available to dedicate to working through a multi-chapter video course or prefer the flexibility of jumping to particular topics of interest via the online training guides, there is something useful for all types of learners with different knowledge levels.

https://datascience.cancer.gov/training/learn-data-science

https://datascience.cancer.gov/training#howcan

https://datascience.cancer.gov/training/improve-data-science-skills

NCI’s basic skills video course is a great place for beginners to start. You can work through each chapter at your own pace, watching the videos, testing your knowledge, and exploring links to extensive lists of related materials. No registration required – just jump in and start learning – gaining data science skills as you go!

https://datascience.cancer.gov/training/improve-data-science-skills/video-course/chapter/data-science-myths

Questions? Ask Us at the MSK Library!