Top Tweets for #NegativeData
๐ Best #NegativeData #Award! ๐
Do you have an #untold story?
#yBIS celebrates the importance of negative #research outcomes.
We invite #earlycareer #researchers to nominate their work and show that every result, even the #unexpected ones, contributes to scientific #progress.
#FEMS2023 if your interested in publishing #openscience, #negativedata, #methods, #pedagogy and much more with the @MicrobioSoc come along and have a chat with me, @SeanaDuggan and @EMD51 as #Editors of #AccessMicrobiology at 4pm today coffee break on stand B44
Coffee break with #AccessMicro editors @EMD51 @DrJamesRedfern and me, Tuesday 4pm @MicrobioSoc booth. Come along and talk about potential papers or ask #publishing questions. We'd love to talk about rigorous science, negative data, replication studies, case reports #FEMS2023
Angela Beltrame, Johnathon Caldon, Cody Gurski, Zivar Hajiyeva, Nathan Meinhardt, Kelli Sommers, Savannah Neu, Bonnie Dittel | Publication of Negative Data Removes Roadblocks to Productive Research: Perspective of Scientists Who Perform the Experiments
https://t.co/jsDQKcboBb
THIS! So much this! We should make an effort to publish ALL results not just positive ones! This is so important and a much needed culture change in science. #data #publishing #rdm #cultureshift #negativedata #science #datascience
Presented some pretty #fluorescent images at this year's #DSAC Symposium! 0.255% expected expression...but still interesting ๐
#negativedata
Publishing your #OpenData is a great way forward. Also, publishing #NegativeData is just as important to the positive stories. - You made data, share it! Publish it! ๐
Submit your research for the Best Negative Data Prize on or before 31 May! https://t.co/EhfYFmflNj
The award is conferred at the #ECNP2022 Congress and comes with a EUR 10,000 prize.
#NegativeData #preclinical #neuroscience #ECNP @cohenbioscience, @preclinicaldata
The Best Negative Data Prize is a collaboration between #ECNP and @cohenbioscience under the aegis of @preclinicaldata. Submit your research before 30 April!
https://t.co/X0fn0fhLtQ
#ScientificResearch #NegativeData #preclinical #neuroscience #ECNP #ECNP2022
[ALTERNANCE M1 #IMSTLyon] Adrien Madeleine, est stagiaire sur le projet Datacc ร @UnivLyon1. Pilotรฉ par @MarieEmilia, le projet accompagne les chercheurs en chimie et physique dans la diffusion de leurs #data. #ScienceOuverte #ELN #negativedata
Like #JOTE, @SciReports recognises that negative and null results are essential to #scientificprogress. Check out their collection of #openaccess #negativedata reports (from Ego Depletion to Correlative Light Electron Microscopy) at https://t.co/CQ4ir2u1hF
#openscience
Anyone have experience with publishing "negative" data that would be willing to share advice? I.e. best journals to submit to, ideal framework, etc. #AcademicChatter #microbiology #negativedata
Why (and how) we should publish #negativedata. The philosophical, practical, and economic arguments for publishing negative data are strong but it's not always easy. Article in @emboreports
https://t.co/GoRmzbhpQk
Are these extra dividing cells cancer? No, not at least over the 6 months we tracked MPC deleted mice, indicating that these cells with aberrant metabolism still respond to normal differentiation cues. #healthycolons #negativedata #stillinteresting 10/
Throwback to @Manon_Reau PhD defense:
"Importance of inactive data in models : application to virtual screening in human health and environnement - example of nuclear receptors"
@LeCnam #GBCMlab #negativedata #nuclearreceptors #structuralbioinformatics
"A growing concern for the entire field of machine learning is that many things are tried, but few are published, with a vast array of hyperparameters, architectures, and representational schemes relegated to file drawers." https://t.co/1V4RXUGWce #negativedata
A day of #research integrity discussions at #EMBLAPhD today๐ฉโโ๏ธ๐จโโ๏ธ surely incentivising the publication of #negativedata and growing a better supportive culture in #academia is one of the ways to move forward? ๐ค
Experts make breakthrough wherein #AI can differentiate between things without use of #negativedata. https://t.co/QuuVpnJAez via @Marktechpost
#AI, #ML, #Data, #NegativeData, #TheAIImperative: Researchers from the RIKEN Center for Advanced Intelligence Project (AIP) developed a new machine learning method that enables AI to make classifications without negative data. Binaโฆhttps://t.co/nvZacvl6pB https://t.co/m3vcOL7eWZ
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