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A website showing incredible #visualizations of #noise in #NewYork, using #OpenStreetMap and #ESRI data alongside Open Data from #NewYorkCity. A website showing incredible visualizations of noise in New York, using Open Street Map and ESRI data alongside Open Data from New York City. #pollution #environment #ecology #wildlife #birds #transportation #cars #NoisePollution livemaps360.com/DigitalTwin/NY #nature #biodiversity

livemaps360.comNew York NoiseMap

About a year ago I was laid off from a job I loved at a company I thought I would work for until I retired. I found a new job but shortly after I started they changed the role, leaving neither of us happy, so now I'm on the hunt again.

If you have any leads on remote senior data analysis or data product manager roles, drop me a line. I have loads of #SQL experience & over a decade of building #visualizations in #Tableau. Portfolio: ellis.fyi/tim-portfolio/

Ellis.FYITim Ellis' Data Portfolio - Ellis.FYIA selection of data analysis and data visualization from Tim Ellis, from his professional career at Redfin, Porch, GeekWire, and more.

New study: Australian #cancer patients support the sharing of anonymized research #data on themselves. Their #consent jumps from 50% to 80% after they see a "visual representation" of how the anonymized data will be shared.
medrxiv.org/content/10.1101/20

medRxivWhat do Australians affected by cancer think about oncology researchers sharing research data: a cross-sectional surveyObjectives To characterise the attitudes of Australians affected by cancer towards the sharing of de-identified research data with third parties, including the public. Design, setting, participants Anonymous online survey between October 2022 and February 2023 of adult Australians previously diagnosed with cancer. Main outcome measures Self-reported attitudes towards the sharing of human and non-human data, and the hypothetical sharing of their anonymised medical information and responses to the survey. Results 551 respondents contributed data to the survey. There was strong support for cancer researchers sharing non-human and de-identified human research data with medical doctors (90% and 95% respectively) and non-profit researchers (both 94%). However, this declined when participants were asked whether data should be shared with for-profit researchers (both 64%) or posted publicly (both 61%). When asked if they would hypothetically consent to researchers at their treatment location collecting and sharing their de-identified data publicly, only half agreed (50%). In contrast, after being shown a visual representation of the de-identified survey data, 80% of respondents supported sharing it publicly. A further 10% also supported public sharing of some of the survey data, with the most frequently desired information to be withheld including education history and levels of trust in healthcare stakeholders. Conclusions Australians affected by cancer support the sharing of research data, particularly with clinician and non-profit researchers. Visualisation of the data to be shared may also enhance support for making research data publicly available. These results should help alleviate any concerns about research participants’ attitudes on data sharing, as well as boost researchers’ motivation for sharing. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This study did not receive any funding. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The STEMM2 Human Ethics Committee of The University of Melbourne gave ethical approval for this work (Project ID: 2022-22111-32090-5). I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes Aggregate data, study materials and analytic code are publicly available on the project's Open Science Framework page under a Creative Commons Zero v1.0 Universal (CC0 1.0) license (DOI: 10.17605/OSF.IO/M52K3). Furthermore, so as not to deter people with strong views against public sharing of data from participating in the survey, we did not seek participants' consent to share de-identified participant-level data publicly. However, we did obtain participants' consent to release de-identified data to researchers for future research. Researchers interested in obtaining access to the study dataset can do so by following the instructions on the project's Open Science Framework page (<https://osf.io/m52k3/>). <https://doi.org/10.17605/OSF.IO/M52K3>

Markwhen is a text-to-timeline tool where you can write markdown-ish text and it gets converted into a nice looking cascading timeline or other type of visualization. Documentation and what all you can do with it is at docs.markwhen.com, and the main site is of course markwhen.com. It's pretty cool

docs.markwhen.comOverview | Markwhen DocumentationDocumentation on how to use and create timelines

100.datavizproject.com/ "1 dataset. 100 #visualizations" ( via flowingdata ) "Can we come up with 100 visualizations from one simple dataset?

As an information design agency working with data visualization every day, we challenged ourselves to accomplish this using insightful and visually appealing visualizations.

We wanted to show the diversity and complexity of data visualization and how we can tell different stories using limited visual properties and assets."

1 dataset. 100 visualizations.1 dataset. 100 visualizations.

My feature article on "Visualization for the Blind" was just published in the new Jan/Feb 2023 issue of @ACM Interactions. This is a high-level overview of making #visualizations #accessible for #blind individuals, sprinkled with my own personal experiences from beginning in the #a11y space. I even squeezed two Latin quotes in! And thanks to my close collaborator Jonathan Lazar for his mentorship. DOI: 10.1145/3571737 Read the fulltext here (no paywall): interactions.acm.org/archive/v

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Last was an engaging talk by Fanny Chevalier on the power of visual representations at #Stanford. Interfaces, #data, and #visualizations aren't neutral, which requires designers to make choices about how and how much they want to influence users. Chevalier presents a nice framework to think about these choices and illustrates it with excellent examples. Highly recommend youtube.com/watch?v=x8AQYQemlZ (8/8)

#introduction
Hi, I'm Peter - by day I'm a #Sciartist, developing different types of #Science and #Art #Visualizations using #GameEngines #Fulldome #XR. I have a PhD in #ComputationalGeophysics, specialising in #DataVisualization, and another in #Semiotics and #ArtHistory. I'm fascinated by #Antarctica #Wilderness #DigitalHeritage and worried about #ClimateChange, so I try and make work that explores these to aid understanding. I've made #Fulldome movies about #DarkMatter and #AboriginalSonglines, and experiment with novel types of #ImmersiveMedia and #HCI for #Museum and #GLAM applications. By night my magpie interests range across #Astrodon to #ml and #CognitiveNeuroscience, #Mathstodon #Consilience #Literature #Philosophy - I read a lot. When I have a free moment, I'm trying to builld an #OffGrid home. Well OK, #shack :)
I'll approve follows if I can get an idea of who you are from your #introduction. I'd like friendly polite quality in my feed, not random quantity. That seems to be one of the best things about #mastodon! #lists!