CNN, I. K. (n.d.). Vaccine inequity and hesitancy made the Omicron variant more likely, scientists say. CNN. Retrieved December 23, 2021, from https://www.cnn.com/2021/11/28/world/omicron-coronavirus-variant-vaccine-inequity-intl-cmd/index.html

Adam Kucharski on Twitter: "Interesting visualisation of COVID-related data sharing. (2021, March 26). Ttps://t.co/lOc1mzeiHt via @OYCar https://t.co/Im9SWlCA3Q [Tweet]. @AdamJKucharski. https://twitter.com/AdamJKucharski/status/1375350545393840130

Misinformation Alerts - Public Health Communications Collaborative. (n.d.). Public Health Communication Collaborative. Retrieved September 24, 2021, from https://publichealthcollaborative.org/misinformation-alerts/

Boseley, S. (2021, March 15). Coronavirus: report scathing on UK government’s handling of data. The Guardian. https://www.theguardian.com/world/2021/mar/15/mp-report-scathing-on-uk-goverment-handling-and-sharing-of-covid-data

Armeni, Kristijan, Loek Brinkman, Rickard Carlsson, Anita Eerland, Rianne Fijten, Robin Fondberg, Vera Ellen Heininga, et al. ‘Towards Wide-Scale Adoption of Open Science Practices: The Role of Open Science Communities’. MetaArXiv, 6 October 2020. https://doi.org/10.31222/osf.io/7gct9.

IrrationalLabs. (2021, February 3). We designed an intervention that reduced shares of flagged content on TikTok by 24% via a large scale RCT, thread 👇1/7 [Tweet]. @IrrationalLabs. https://twitter.com/IrrationalLabs/status/1357033901311451140

Romanini, Daniele, Sune Lehmann, and Mikko Kivelä. ‘Privacy and Uniqueness of Neighborhoods in Social Networks’. ArXiv:2009.09973 [Physics], 21 September 2020. http://arxiv.org/abs/2009.09973.

Gollwitzer, M., Abele-Brehm, A., Fiebach, C., Ramthun, R., Scheel, A. M., Schönbrodt, F., & Steinberg, U. (2020). Data Management and Data Sharing in Psychological Science: Revision of the DGPs Recommendations. https://doi.org/10.31234/osf.io/24ncs

NW, 1615 L. St, Suite 800Washington, & Inquiries, D. 20036USA202-419-4300 | M.-857-8562 | F.-419-4372 | M. (n.d.). A majority of young adults in the U.S. live with their parents for the first time since the Great Depression. Pew Research Center. Retrieved September 7, 2020, from https://www.pewresearch.org/fact-tank/2020/09/04/a-majority-of-young-adults-in-the-u-s-live-with-their-parents-for-the-first-time-since-the-great-depression/

(19) ReconfigBehSci on Twitter: ‘RT @MaartenvSmeden: The lack of rapid sharing of COVID19 patient level data https://t.co/rmEGf6xRXj’ / Twitter. (n.d.). Twitter. Retrieved 17 August 2020, from https://twitter.com/SciBeh/status/1295264691162353665

Barton, C. M., Alberti, M., Ames, D., Atkinson, J.-A., Bales, J., Burke, E., Chen, M., Diallo, S. Y., Earn, D. J. D., Fath, B., Feng, Z., Gibbons, C., Hammond, R., Heffernan, J., Houser, H., Hovmand, P. S., Kopainsky, B., Mabry, P. L., Mair, C., … Tucker, G. (2020). Call for transparency of COVID-19 models. Science, 368(6490), 482.2-483. https://doi.org/10.1126/science.abb8637

Supporting Open Science Data Curation, Preservation, and Access by Libraries. (2020, June 25). https://www.youtube.com/watch?v=SbmGWHpzAHs&feature=youtu.be

Welcome! You are invited to join a webinar: Supporting Open Science Data Curation, Preservation, and Access by Libraries. After registering, you will receive a confirmation email about joining the webinar. (n.d.). Zoom Video. Retrieved June 28, 2020, from https://zoom.us/webinar/register/2615905946283/WN_W6dYUXQFTqGQjGAZPRB74w

Yeolekar, M. (2020, April 30). The Digital Migration: Lessons About Open Science Arising from the COVID19 Crisis. The Official PLOS Blog. https://theplosblog.plos.org/2020/04/the-digital-migration-lessons-about-open-science-arising-from-the-covid19-crisis/

Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627

r/BehSciMeta—Comment by u/UHahn on ”What is the impact of retraction of scientific studies reported in news media?”. (n.d.). Reddit. Retrieved June 17, 2020, from https://www.reddit.com/r/BehSciMeta/comments/gyw43b/what_is_the_impact_of_retraction_of_scientific/ftp5w1p

Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465

OSF Coronavirus Outbreak Research Collection

UKRN position on covid 19 research. (2020 May 01). School of Psychological Science | University of Bristol. http://www.bristol.ac.uk/psychology/research/ukrn/news/2020/ukrn-position-on-covid-19-research.html

COVID-19 estimate downloads. (2020, April 2). Institute for Health Metrics and Evaluation. http://www.healthdata.org/covid/data-downloads

Epidemiologische Abklärung am Beispiel COVID-19. (n.d.). AGES - Österreichische Agentur für Gesundheit und Ernährungssicherheit. https://www.ages.at/service/service-presse/pressemeldungen/epidemiologische-abklaerung-am-beispiel-covid-19/

Bailey, R. (2020, May 19). Why we need the human touch in contact tracing for coronavirus. The Conversation. http://theconversation.com/why-we-need-the-human-touch-in-contact-tracing-for-coronavirus-137933

The COVID Tracking Project. https://covidtracking.com/

Dahl Fitjar, R. (2020, May 9). The density and connectedness of cities now appear as weaknesses. LSE Business Review. https://blogs.lse.ac.uk/businessreview/2020/05/09/the-density-and-connectedness-of-cities-now-appear-as-weaknesses/

Aspesi, C., & Brand, A. (2020). In pursuit of open science, open access is not enough. Science, 368(6491), 574–577. https://doi.org/10.1126/science.aba3763

EBM Data Lab - Risk Factors Research

ReconfigBehSci Post

David Garcia on Twitter

Punn, N. S., Sonbhadra, S. K., & Agarwal, S. (2020). COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms [Preprint]. Health Informatics. https://doi.org/10.1101/2020.04.08.20057679

Would be great to connect these efforts with others who work on this from the data end, e.g. RDA as mentioned above.

Also, the presentation at http://www.gfbr.global/wp-content/uploads/2018/12/PG4-Alpha-Ahmadou-Diallo.pptx states

This data will be made available to the public and to scientific and humanitarian health communities to disseminate knowledge about the disease, support the expansion of research in West Africa, and improve patient care and future response to an outbreak.

but the notion of public access is not clearly articulated in the present article.

Does it have a name and online presence? The details provided here go beyond what's given in reference 13, but some more detail would still be useful, e.g. to connect the initiative to efforts directed at data management and curation more generally, for instance in the framework of the Research Data Alliance, https://www.rd-alliance.org/ .

See Author Q&A "Power to the People..."with B.G. Tzorvaras and M.P. Ball at http://gigasciencejournal.com/blog/open-humans-qa

This is a very important statistic to quote, because people always assume the negative use case, i.e., "weaponizing data". I think that does happen, but the more we can gather the statistics, the better we are able to address it.

Good statistic to have

Example of the type of harm that lack of transparency can lead to.

How can anyone argue that science isn't served by making primary data available? We must recognize that more people are harmed by not sharing data than are harmed by data being shared.

Compliance not mechanism

World Health Organization's statement

Sticks don't work if they aren't used. I find this rather disturbing.

This is the redirected link for the "Physics Auxiliary Publication Service". But there is no data here.

Categories of data sharing considered:

• I would use other researchers' datasets if their datasets were easily accessible.
• I would be willing to place at least some of my data into a central data repository with no restrictions.
• I would be willing to place all of my data into a central data repository with no restrictions.
• I would be more likely to make my data available if I could place conditions on access.
• I am satisfied with my ability to integrate data from disparate sources to address research questions.
• I would be willing to share data across a broad group of researchers who use data in different ways.
• It is important that my data are cited when used by other researchers.
• It is appropriate to create new datasets from shared data.

There is a willingness, but not a way!

What is the sharing standard? What are the consequences of not sharing? What is the enforcement mechanism?

There are three primary sharing mechanisms I can think of today: email, usb stick, and dropbox (née ftp).

The dropbox option is supplanting ftp which comes from another era, but still satisfies an important niche for larger data sets and/or higher-volume or anonymous traffic.

Dropbox, email and usb are all easily accessible parts of the day-to-day consumer workflow; they are all trivial to set up without institutional support or, importantly, permission.

An email account is already provisioned by default for everyone or, if the institutional email offerings are not sufficient, a person may easily set up a 3rd-party email account with no permission or hassle.

Data management alternatives to these three options will have slow or no adoption until the barriers to access and use are as low as email; the cost of entry needs to be no more than *a web browser, an email address, and no special permission required".