ReaDI Program

The Research and Data Integrity (ReaDI) Program provides resources to enhance #reproducibility and #research & #data integrity @Columbia University.

[ReaDI Program @ReaDI_Columbia]

ChatGPT: five priorities for research https://t.co/vqUiGVW2Sd

[ReaDI Program @ReaDI_Columbia]

Health-care systems are rolling out artificial-intelligence tools for diagnosis and monitoring. But how reliable are the models? https://t.co/so5Rgb3AhP

[ReaDI Program @ReaDI_Columbia]

NIH plans grant-review overhaul to reduce bias https://t.co/EPorWnlGgh

[ReaDI Program @ReaDI_Columbia]

An artificially intelligent first author presents many ethical questions—and could upend the publishing process. https://t.co/SBOz87NSZv

[ReaDI Program @ReaDI_Columbia]

Taking the pain out of data sharing https://t.co/dTvDqm05xw

[ReaDI Program @ReaDI_Columbia]

“Lab members are typically in charge of their own data and notes. But institutional memory is better served if the team works together...” https://t.co/TZVH3MuWQH

[ReaDI Program @ReaDI_Columbia]

The fraught quest to account for sex in biology research https://t.co/lEufzQqhtb

[ReaDI Program @ReaDI_Columbia]

Implementation Updates for the New NIH Data Management and Sharing Policy https://t.co/9Ta3tTSvGD

[ReaDI Program @ReaDI_Columbia]

NIH Data Management and Sharing - Jan 2023: “although the policy might require researchers to spend extra time organizing their data, ... the potential long-term boost in public trust for science will justify the extra effort.” https://t.co/6G23memu5n

[ReaDI Program @ReaDI_Columbia]

Save the Date for the next PCRI Symposium! March 11, 2022
Event info and Registration —> https://t.co/hozlBfLKKn

#PCRISymposium

[ReaDI Program @ReaDI_Columbia]

DataWorks! Data Management Plan Challenge —based on the 2023 NIH Data Management and Sharing Plan Requirements (NOT-OD-014). https://t.co/hLQUY4ilp5

[ReaDI Program @ReaDI_Columbia]

“the larger spotlight on COVID-19 preprints has raised concerns the media and public could misconstrue the results of early studies as finalized science and use it to make personal health decisions”
https://t.co/jeiz9XZkeP

[ReaDI Program @ReaDI_Columbia]

The long-standing issue often occurs when the abbreviated form of a gene’s name is incorrectly recognized as a date and autocorrected as such by Excel or Google Sheets. e.g. SEPT4 (septin 4) and MARCH1 will be automatically changed to 4-Sep and 1-Mar. https://t.co/xR3PDajipw

[ReaDI Program @ReaDI_Columbia]

New and Updated Resources Available to Help Design Rigorous Clinical Trials https://t.co/f9smP2SqF3

[ReaDI Program @ReaDI_Columbia]

Updated ARRIVE guidelines 2.0 for animal research. Endorsed by over 1000 journals https://t.co/YlGs4Oqk6Z

[ReaDI Program @ReaDI_Columbia]

Working on your next grant application? Check-out these tips for writing a winning grant application: https://t.co/3Jle7eyCJg

[ReaDI Program @ReaDI_Columbia]

Don't forget to manage those citations! If you are using @LabArchives you can import citations directly from PubMed.
https://t.co/j6Mrtid8zP

[ReaDI Program @ReaDI_Columbia]

This looks like an interesting event on #SpreadingFacts. A livestream is available: https://t.co/Ff2bwfxNYg

[Andrew Gelman et al. @StatModeling]

In short, adding more animals to your experiment is fine. The problem is in using statistical significance to make decisions about what to conclude from your data. https://t.co/fYAcBvCWnm