The two waves measured days of use differently. March asked a single overall question whose response options were these three groups, while August asked day counts for each service separately, which we collapsed into the same groups.
【方法】调查方法存在重要差异：三月询问整体使用情况，而八月询问每个服务的单独使用天数。这种差异可能导致数据解释偏差，因为八月的方法可能低估实际使用频率（例如，使用多个服务的人可能被计数为使用天数而非总使用次数）。
For the Calendar Year 2025 survey, responses were due on March 1, 2026.
【数据】这封信中提到了具体的截止日期（2026年3月1日），但没有提供有多少数据中心实际错过了这个截止日期，或者有多少数据中心确实提供了信息。这一数据缺失使得评估问题的严重性和范围变得困难。
The 2025 [Stack Overflow developer survey](https://survey.stackoverflow.co/2025) put 84% of developers on AI tools, with 46% saying they do not trust the output, up sharply from 31% the year before.
Stack Overflow的调查结果提供了关于开发者对AI工具信任度的重要数据，需要进一步分析这些数据背后的原因和影响。
We present results from a survey of 1,260 social scientists about AI and coding agent use, fielded in February and March 2026.
这个样本量(1,260)对于社会科学研究来说相当可观，提供了足够的数据基础进行分析。然而，文章也提到这不是代表性样本，因为受访者是受邀参与AI工作流程研究的，可能导致结果偏向于对AI工具更感兴趣的研究者。这一数据点表明研究结果可能存在选择偏差。
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/.
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
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
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
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
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
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.
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/
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
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
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
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
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
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/
IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13690/.
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
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/
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
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
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/
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
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/
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
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
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/
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/
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/
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
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
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
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
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
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
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
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
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
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
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
David Garcia on Twitter
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
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
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
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
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
the 2016 Inside Higher Ed Survey of Faculty Attitudes on Technology.
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
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:
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?
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:
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
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:
Awareness of data and commitment to its preservation are two key preconditions for successful data curation.
Great observation!
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?
Availability of the raw survey data is subject to the approval of the UCSB Human Subjects Committee.
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
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.