- Jul 2023
- Apr 2022
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www.imperial.ac.uk www.imperial.ac.uk
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Imperial News. ‘“Issue of Inequalities” for Long COVID Patients Needs to Be Addressed | Imperial News | Imperial College London’. Accessed 22 April 2022. https://www.imperial.ac.uk/news/232234/issue-inequalities-long-covid-patients-needs/.
Tags
- COVID-19
- urgence
- inequalities
- science
- comms strategy
- fatigue
- academic
- infectious diseases
- persistent symptoms
- school of public health
- is:website
- wider society
- long covid
- centre
- lang:en
- patient
- imperial college london
- data
- survey
- global challenges
- symptom
- disability
- health and wellbeing
- health
Annotators
URL
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- Mar 2022
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘@alexdefig are you really going to claim that responses to the introduction of passports on uptake across 4 other countries are evidentially entirely irrelevant to whether or not passports are justified or not?’ / Twitter. (n.d.). Retrieved 31 March 2022, from https://twitter.com/SciBeh/status/1444358068280565764
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- Feb 2022
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www.ons.gov.uk www.ons.gov.uk
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Coronavirus (COVID-19) Infection Survey, UK - Office for National Statistics. (n.d.). Retrieved February 13, 2022, from https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/11february2022
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- Dec 2021
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www.npr.org www.npr.org
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Wood, D., & Brumfiel, G. (2021, December 5). Pro-Trump counties now have far higher COVID death rates. Misinformation is to blame. NPR. https://www.npr.org/sections/health-shots/2021/12/05/1059828993/data-vaccine-misinformation-trump-counties-covid-death-rate
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- Oct 2021
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theconversation.com theconversation.com
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Christiano, A., Neimand, A., & Barry, J. J. (n.d.). Half of unvaccinated workers say they’d rather quit than get a shot – but real-world data suggest few are following through. The Conversation. Retrieved 25 October 2021, from http://theconversation.com/half-of-unvaccinated-workers-say-theyd-rather-quit-than-get-a-shot-but-real-world-data-suggest-few-are-following-through-168447
Tags
- is:webpage
- COVID-19
- workplace
- data
- USA
- unvaccinated
- survey
- quit
- vaccine mandate
- employee
- employer
- lang:en
Annotators
URL
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www.ons.gov.uk www.ons.gov.uk
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Prevalence of ongoing symptoms following coronavirus (COVID-19) infection in the UK - Office for National Statistics. (n.d.). Retrieved 10 October 2021, from https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/prevalenceofongoingsymptomsfollowingcoronaviruscovid19infectionintheuk/7october2021
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- Aug 2021
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cgdev.org cgdev.org
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Center For Global Development. “Three New Estimates of India’s All-Cause Excess Mortality during the COVID-19 Pandemic.” Accessed August 11, 2021. https://cgdev.org/publication/three-new-estimates-indias-all-cause-excess-mortality-during-covid-19-pandemic.
Tags
- COVID-19
- Consumer Pyramid Household Survey
- statistical confidence
- attendant accountability
- data source
- Coronavirus
- is:article
- pandemic
- India
- death
- civil registration
- lang:en
- authoritative estimate
- age-specific infection fatality rates
Annotators
URL
cgdev.org/publication/three-new-estimates-indias-all-cause-excess-mortality-during-covid-19-pandemic -
- Jul 2021
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www.technologyreview.com www.technologyreview.com
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Do your neighbors want to get vaccinated? (n.d.). MIT Technology Review. Retrieved 11 February 2021, from https://www.technologyreview.com/2021/01/16/1016264/covid-vaccine-acceptance-us-county/
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- Jun 2021
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Baghal, T. A., Wenz, A., Sloan, L., & Jessop, C. (2021). Linking Twitter and survey data: Asymmetry in quantity and its impact. EPJ Data Science, 10(1), 1–20. https://doi.org/10.1140/epjds/s13688-021-00286-7
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- May 2021
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Ashokkumar, A., & Pennebaker, J. W. (2021). The Social and Psychological Changes of the First Months of COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/a34qp
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- Mar 2021
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journals.sagepub.com journals.sagepub.com
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Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667
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psyarxiv.com psyarxiv.com
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Kejriwal, M., & Shen, K. (2021, March 9). Affective Correlates of Metropolitan Food Insecurity and Misery during COVID-19. https://doi.org/10.31234/osf.io/6zxfe
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- Feb 2021
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www.nature.com www.nature.com
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Chande, A., Lee, S., Harris, M., Nguyen, Q., Beckett, S. J., Hilley, T., Andris, C., & Weitz, J. S. (2020). Real-time, interactive website for US-county-level COVID-19 event risk assessment. Nature Human Behaviour, 4(12), 1313–1319. https://doi.org/10.1038/s41562-020-01000-9
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- Jan 2021
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www.reddit.com www.reddit.com
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Surveys in a time of Covid [u/hamilton_ian] (2020-01-28). Reddit. Retrieved from: https://www.reddit.com/r/BehSciAsk/comments/l739ru/surveys_in_a_time_of_covid/
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- Oct 2020
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covid-19.iza.org covid-19.iza.org
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IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13690/.
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- Sep 2020
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Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2020). Expanding the measurement of culture with a sample of two billion humans [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/qkf42
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dataforgood.fb.com dataforgood.fb.com
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COVID-19 Symptom Survey—Request for Data Access. (n.d.). Facebook Data for Good. Retrieved May 29, 2020, from https://dataforgood.fb.com/docs/covid-19-symptom-survey-request-for-data-access/
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- Aug 2020
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www.nber.org www.nber.org
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Couture, V., Dingel, J. I., Green, A. E., Handbury, J., & Williams, K. R. (2020). Measuring Movement and Social Contact with Smartphone Data: A Real-Time Application to COVID-19 (Working Paper No. 27560; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27560
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www.nber.org www.nber.org
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Fan, Y., Orhun, A. Y., & Turjeman, D. (2020). Heterogeneous Actions, Beliefs, Constraints and Risk Tolerance During the COVID-19 Pandemic (Working Paper No. 27211; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27211
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www.government.se www.government.se
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Regeringskansliet, R. och. (2020, June 18). Social distancing and markedly reduced travel in Sweden [Text]. Regeringskansliet; Regeringen och Regeringskansliet. https://www.government.se/articles/2020/06/social-distancing-and-markedly-reduced-travel-in-sweden/
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Gale, W. G., Gelfond, H., Fichtner, J. J., & Harris, B. H. (2020). The Wealth of Generations, With Special Attention to the Millennials (Working Paper No. 27123; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27123
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covid-19.iza.org covid-19.iza.org
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Germany’s Capacities to Work from Home. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 8, 2020, from https://covid-19.iza.org/publications/dp13152/
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Barrios, J. M., Benmelech, E., Hochberg, Y. V., Sapienza, P., & Zingales, L. (2020). Civic Capital and Social Distancing during the Covid-19 Pandemic (Working Paper No. 27320; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27320
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www.nber.org www.nber.org
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Brynjolfsson, E., Horton, J. J., Ozimek, A., Rock, D., Sharma, G., & TuYe, H.-Y. (2020). COVID-19 and Remote Work: An Early Look at US Data (Working Paper No. 27344; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27344
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covid-19.iza.org covid-19.iza.org
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Six-Country Survey on COVID-19 (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13230/
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covid-19.iza.org covid-19.iza.org
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EU Jobs at Highest Risk of COVID-19 Social Distancing: Will the Pandemic Exacerbate Labour Market Divide?. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13281/
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covid-19.iza.org covid-19.iza.org
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Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13516/
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www.nber.org www.nber.org
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Baqaee, D., Farhi, E., Mina, M. J., & Stock, J. H. (2020). Reopening Scenarios (Working Paper No. 27244; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27244
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- Jul 2020
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www.nber.org www.nber.org
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Aucejo, E. M., French, J. F., Araya, M. P. U., & Zafar, B. (2020). The Impact of COVID-19 on Student Experiences and Expectations: Evidence from a Survey (Working Paper No. 27392; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27392
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osf.io osf.io
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Motta, M., Stecula, D., & Farhart, C. E. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a8r3p
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van Rooij, B., de Bruijn, A. L., Reinders Folmer, C., Kooistra, E., Kuiper, M. E., Brownlee, M., … Fine, A. (2020, April 22). Compliance with COVID-19 Mitigation Measures in the United States. https://doi.org/10.31234/osf.io/qymu3
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osf.io osf.io
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Rice, W. L., Mateer, T., Taff, B. D., Lawhon, B., Reigner, N., & Newman, P. (2020). The COVID-19 pandemic continues to change the way people recreate outdoors: A second preliminary report on a national survey of outdoor enthusiasts amid the COVID-19 pandemic. https://doi.org/10.31235/osf.io/dghba
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psyarxiv.com psyarxiv.com
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Sakakibara, R., & Ozono, H. (2020). Psychological Research on the COVID-19 Crisis in Japan: Focusing on Infection Preventive Behaviors, Future Prospects, and Information Dissemination Behaviors. https://doi.org/10.31234/osf.io/97zye
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www.nature.com www.nature.com
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Lavezzo, E., Franchin, E., Ciavarella, C., Cuomo-Dannenburg, G., Barzon, L., Del Vecchio, C., Rossi, L., Manganelli, R., Loregian, A., Navarin, N., Abate, D., Sciro, M., Merigliano, S., De Canale, E., Vanuzzo, M. C., Besutti, V., Saluzzo, F., Onelia, F., Pacenti, M., … Crisanti, A. (2020). Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’. Nature, 1–1. https://doi.org/10.1038/s41586-020-2488-1
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Rauschenberg, C., Schick, A., Goetzl, C., Röhr, S., Riedel-Heller, S., Koppe, G., Durstewitz, D., Krumm, S., & Reininghaus, U. (2020). Social isolation, mental health and use of digital interventions in youth during the COVID-19 pandemic: A nationally representative survey [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/v64hf
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www.sciencedirect.com www.sciencedirect.com
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Rosenberg, E. S., Tesoriero, J. M., Rosenthal, E. M., Chung, R., Barranco, M. A., Styer, L. M., Parker, M. M., John Leung, S.-Y., Morne, J. E., Greene, D., Holtgrave, D. R., Hoefer, D., Kumar, J., Udo, T., Hutton, B., & Zucker, H. A. (2020). Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York. Annals of Epidemiology. https://doi.org/10.1016/j.annepidem.2020.06.004
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psyarxiv.com psyarxiv.com
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Sun, R., Balabanova, A., Bajada, C. J., Liu, Y., Kriuchok, M., Voolma, S., … Fadhlia, T. N. (2020, June 2). Measuring emotion experience and wellbeing during COVID19 across the world. https://doi.org/10.31234/osf.io/r7xaz
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- May 2020
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www.jmir.org www.jmir.org
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Farooq, A., Laato, S., & Islam, A. K. M. N. (2020). Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. Journal of Medical Internet Research, 22(5), e19128. https://doi.org/10.2196/19128
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twitter.com twitter.com
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David Garcia on Twitter
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psyarxiv.com psyarxiv.com
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Olthof, M., Hasselman, F., & Lichtwarck-Aschoff, A. (2020, May 1). Complexity In Psychological Self-Ratings: Implications for research and practice. Retrieved from psyarxiv.com/fbta8
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- Apr 2020
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www.medrxiv.org www.medrxiv.org
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Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M., Fry, H., & Gog, J. R. (2020). Contacts in context: Large-scale setting-specific social mixing matrices from the BBC Pandemic project [Preprint]. Epidemiology. https://doi.org/10.1101/2020.02.16.20023754
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reutersinstitute.politics.ox.ac.uk reutersinstitute.politics.ox.ac.uk
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Nielsen, R.K., Fletcher, R., Newman, N., Brennen, S., Howard, P.N. (2020 April 15). Navigating the ‘infodemic’: how people in six countries access and rate news and information about coronavirus. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/infodemic-how-people-six-countries-access-and-rate-news-and-information-about-coronavirus
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doi.org doi.org
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Atchison, C. J., Bowman, L., Vrinten, C., Redd, R., Pristera, P., Eaton, J. W., & Ward, H. (2020). Perceptions and behavioural responses of the general public during the COVID-19 pandemic: A cross-sectional survey of UK Adults [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.04.01.20050039
Tags
- COVID-19
- statistics
- response
- self-isolation
- minority
- prevention
- transmission dynamics
- demographics
- cross-sectional
- UK
- modeling
- is:preprint
- lang:en
- risk perception
- handwashing
- perception
- data collection
- survey
- government
- quarentine
- adult
- behavior
- policy
- lockdown
- face mask
- economy
- social distancing
Annotators
URL
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www.reddit.com www.reddit.com
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r/BehSciMeta—Comment by u/YasminaOkan on ”What are good services to collect representative survey data?”. (n.d.). Reddit. Retrieved April 21, 2020, from https://www.reddit.com/r/BehSciMeta/comments/fu407f/what_are_good_services_to_collect_representative/fmstb5c
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- Nov 2019
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www.publicsafety.gc.ca www.publicsafety.gc.ca
- Sep 2017
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www.insidehighered.com www.insidehighered.com
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the 2016 Inside Higher Ed Survey of Faculty Attitudes on Technology.
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- Oct 2015
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www.campuscomputing.net www.campuscomputing.net
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The Coming of OERRelated to the enthusiasm for digital instructional resources,four-fifths (81percent) of the survey participants agreethat “Open Source textbooks/Open Education Resource(OER) content “will be an important source for instructional resources in five yea
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- Jan 2014
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Less than half (45%) of the respondents are satisfied with their ability to integrate data from disparate sources to address research questions
The most important take-away I see in this whole section on reasons for not making data electronically available is not mentioned here directly!
Here are the raw numbers for I am satisfied with my ability to integrate data from disparate sources to address research questions:
- 156 (12.2%) Agree Strongly
- 419 (32.7%) Agree Somewhat
- 363 (28.3%) Neither Agree nor Disagree
- 275 (21.5%) Disagree Somewhat
- 069 (05.4%) Disagree Strongly
Of the people who are not satisfied in some way, how many of those think current data sharing mechanisms are sufficient for their needs?
Of the ~5% of people who are strongly dissatisfied, how many of those are willing to spend time, energy, and money on new sharing mechanisms, especially ones that are not yet proven? If they are willing to do so, then what measurable result or impact will the new mechanism have over the status quo?
Who feel that current sharing mechanisms stand in the way of publications, tenure, promotion, or being cited?
Of those who are dissatisfied, how many have existing investment in infrastructure versus those who are new and will be investing versus those who cannot invest in old or new?
10 years ago how would you have convinced someone they need an iPad or Android smartphone?
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Reasons for not making data electronically available. Regarding their attitudes towards data sharing, most of the respondents (85%) are interested in using other researchers' datasets, if those datasets are easily accessible. Of course, since only half of the respondents report that they make some of their data available to others and only about a third of them (36%) report their data is easily accessible, there is a major gap evident between desire and current possibility. Seventy-eight percent of the respondents said they are willing to place at least some their data into a central data repository with no restrictions. Data repositories need to make accommodations for varying levels of security or access restrictions. When asked whether they were willing to place all of their data into a central data repository with no restrictions, 41% of the respondents were not willing to place all of their data. Nearly two thirds of the respondents (65%) reported that they would be more likely to make their data available if they could place conditions on access. Less than half (45%) of the respondents are satisfied with their ability to integrate data from disparate sources to address research questions, yet 81% of them are willing to share data across a broad group of researchers who use data in different ways. Along with the ability to place some restrictions on sharing for some of their data, the most important condition for sharing their data is to receive proper citation credit when others use their data. For 92% of the respondents, it is important that their data are cited when used by other researchers. Eighty-six percent of survey respondents also noted that it is appropriate to create new datasets from shared data. Most likely, this response relates directly to the overwhelming response for citing other researchers' data. The breakdown of this section is presented in Table 13.
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.
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www.alexandria.ucsb.edu www.alexandria.ucsb.edu
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In the course of your research or teaching, do you produce digital data that merits curation? 225 of 292 (77%) of respondents answered "yes" to this first question, which corresponds to 25% of the estimated population of 900 faculty and researchers who received the survey.
For those who do not feel they have data that merits curation I would at least like to hear a description of the kinds of data they have and why they feel it does not need to be curated?
For some people they may already be using well-curated data sets; on the other hand there are some people who feel their data may not be useful to anyone outside their own research group, so there is no need to curate the data for use by anyone else even though under some definition of "curation" there may be important unmet curation needs for internal-use only that may be visible only to grad students or researchers who work with the data hands-on daily.
UPDATE: My question is essentially answered here: https://hypothes.is/a/xBpqzIGTRaGCSmc_GaCsrw
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Responsibility, myself versus others. It may appear that responses to the question of responsibility are bifurcated between "Myself" and all other parties combined. However, respondents who identified themselves as being responsible were more likely than not to identify additional parties that share that responsibility. Thus, curatorial responsibility is seen as a collaborative effort. (The "Nobody" category is a slight misnomer here as it also includes non-responses to this question.)
This answers my previous question about this survey item:
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Awareness of data and commitment to its preservation are two key preconditions for successful data curation.
Great observation!
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Which parties do you believe have primary responsibility for the curation of your data? Almost all respondents identified themselves as being personally responsible.
For those that identify themselves as personally responsible would they identify themselves (or their group) as the only ones responsible for the data? Or is there a belief that the institution should also be responsible in some way in addition to themselves?
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Availability of the raw survey data is subject to the approval of the UCSB Human Subjects Committee.
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Survey design The survey was intended to capture as broad and complete a view of data production activities and curation concerns on campus as possible, at the expense of gaining more in-depth knowledge.
Summary of the survey design
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To summarize the survey's findings: Curation of digital data is a concern for a significant proportion of UCSB faculty and researchers. Curation of digital data is a concern for almost every department and unit on campus. Researchers almost universally view themselves as personally responsible for the curation of their data. Researchers view curation as a collaborative activity and collective responsibility. Departments have different curation requirements, and therefore may require different amounts and types of campus support. Researchers desire help with all data management activities related to curation, predominantly storage. Researchers may be underestimating the need for help using archival storage systems and dealing with attendant metadata issues. There are many sources of curation mandates, and researchers are increasingly under mandate to curate their data. Researchers under curation mandate are more likely to collaborate with other parties in curating their data, including with their local labs and departments. Researchers under curation mandate request more help with all curation-related activities; put another way, curation mandates are an effective means of raising curation awareness. The survey reflects the concerns of a broad cross-section of campus.
Summary of survey findings.
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