Web Survey Bibliography
Title On the integration of the Internet into science communication
Author Barjak, F.
Year 2004
Access date 05.05.2008
Abstract The Internet has changed science in multiple ways, for instance through broadening the access to scientific data and information, offering new channels of social communication such as e-mail, chat or on-line conferences, or facilitating large scale scientific collaborations by means of specific collaboration tools. Already in the mid nineties a debate has started on how the Internet would affect science communication. New communication models have been presented reaching from a mere modernised version of the traditional science communication model which had evolved over the last two hundred years to transformed and totally new models of so-called "collaboratories" (see e.g. Crawford, Hurd and Weller 1996; Hilgartner 1995). The debate has produced extremely technology-optimistic positions such as the opinion that "anything not on the Web will be neglected" (Odlyzko 2001) as well as rather sceptic statements on the extent to which scientific disciplines are willing to change their differing communication conventions (e.g. Kling and McKim 2000). The proposed paper carries out a stock taking of Internet use for scientific communication at the current point in time. This stock taking is based on a survey on the Internet use in five scientific disciplines (astronomy, chemistry, computer science, economics, and psychology) and seven European countries (Switzerland, Germany, Italy, UK, Ireland, the Netherlands, and Denmark) which was carried out in the summer of 2003. The dataset consists of more than 1,400 scientists carrying out R&D in the listed disciplines and countries. The data permits a detailed assessment of the integration of Internet applications into science communication. The analysis answers in particular two sets of questions: 1. How do scientists use the Internet to collect data and retrieve information as inputs to scientific work? What factors determine whether scientists use the Internet or traditional methods, e.g. what are the roles of age and professional experience, computer literacy, and the scientific discipline? 2. How do communication models differ between scientific disciplines? What is the role of the Internet for the diffusion of research results among different scientific communities?
Abstract - optional Das Internet hat die Wissenschaft in vieler Hinsicht verändert, beispielsweise dadurch, dass es den Zugang zu wissenschaftlichen Daten und Informationen verbreitert, neue Kanäle für soziale Kommunikation wie e-Mail, Chat oder On-line-Konferenzen bietet oder groß angelegte wissenschaftliche Kooperationen mittels spezieller Kooperationstools erleichtert. Bereits in der Mitte der 90er Jahre hat eine Diskussion zu den Effekten des Internets auf die Wissenschaftskommunikation begonnen. Neue Kommunikationsmodelle wurden präsentiert, die von einer lediglich modernisierten Version des traditionellen Kommunikationsmodells der Wissenschaft, das sich über die letzten 200 Jahre herausgebildet hat, bis zu transformierten und völlig neuen Modellen der so genannten "Kollaboratorien" reichen (vgl. Crawford, Hurd und Weller 1996; Hilgartner 1995). Die Debatte hat außerordentlich technologie-optimistische Positionen produziert, wie etwa die Einschätzung, dass "alles, was nicht auf dem Web ist, vernachlässigt werden wird" (vgl. Odlyzko 2001), ebenso wie eher skeptische Aussagen zum Ausmaß, in dem wissenschaftliche Disziplinen bereit sein werden, ihre unterschiedlichen Kommunikationskonventionen zu ändern (z.B. Kling und McKim 2000). Der vorgeschlagene Aufsatz nimmt eine Bilanzierung der Internetnutzung für die wissenschaftliche Kommunikation zum heutigen Zeitpunkt vor. Diese Bilanzierung gründet auf einer Befragung zur Internetnutzung in fünf wissenschaftlichen Disziplinen (Astronomie, Chemie, Informatik, Ökonomie, Psychologie) und sieben europäischen Ländern (Schweiz, Deutschland, Dänemark, Italien, Irland, Niederlande und Großbritannien), die im Sommer 2003 durchgeführt wurde. Der Datensatz besteht aus mehr als 1400 Wissenschaftlern, die in den genannten Disziplinen und Ländern forschen. Die Daten gestatten eine detaillierte Erfassung der Integration von Internetanwendungen in die Wissenschaftskommunikation. Die Analyse beantwortet insbesondere zwei Fragenkomplexe: 1. Wie nutzen Wissenschaftler das Internet, um Daten und Informationen als Inputs für wissenschaftliche Arbeit zu sammeln? Welche Faktoren determinieren, ob Wissenschaftler das Internet oder traditionelle Methoden nutzen, welche Rollen spielen beispielsweise Alter und Berufserfahrung, Computerkenntnisse und die wissenschaftliche Disziplin? 2. Wie unterscheiden sich Kommunikationsmodelle zwischen wissenschaftlichen Disziplinen? Welche Rolle spielt das Internet für die Diffusion von Forschungsergebnissen in verschiedenen Wissenschaftscommunities?
Access/Direct link Homepage - conference (abstract)
Year of publication2004
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Other (439)
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- Web Survey Gamification - Increasing Data Quality in Web Surveys by Using Game Design Elements; 2017; Schacht, S.; Keusch, F.; Bergmann, N.; Morana, S.
- Effects of sampling procedure on data quality in a web survey; 2017; Rimac, I.; Ogresta, J.
- Comparability of web and telephone surveys for the measurement of subjective well-being; 2017; Sarracino, F.; Riillo, C. F. A.; Mikucka, M.
- Fieldwork monitoring and managing with time-related paradata; 2017; Vandenplas, C.
- Interviewer Gender and Survey Responses: The Effects of Humanizing Cues Variations; 2017; Jablonski, W.; Krzewinska, A.; Grzeszkiewicz-Radulska, K.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and...; 2017; Anderssen, N.; Malterud, K.
- Utjecaj vizualne orientacije skale za odgovaranje i broja stranica web-upitnika na rezultate ispitivanja...; 2017; Malikovic, M.; Svegar, D.; Somodzi, S.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
- Comparative analysis of a mobile device and paper as effective survey tools; 2017; Kim, K. J.; Bae, S.; Park, E.
- Enhancing survey participation: Facebook advertisements for recruitment in educational research; 2017; Forgasz, H.; Tan, H.; Leder, G.; McLeod, A.
- Virtual reality meets sensory research; 2017; Depoortere, L.
- PC, phone or tablet? Use, preference and completion rates for web surveys ; 2017; Brosnan, K.; Gruen, B.; Dolnicar, S.
- “Better do not touch” and other superstitions concerning melanoma: the cross-sectional web...; 2016; Gajda, M.; Kamiñska-Winciorek, G.; Wydmañski, J.; Tukiendorf, A.
- Making use of Internet interactivity to propose a dynamic presentation of web questionnaires; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- A streamlined approach to online linguistic surveys; 2016; Erlewine, M. Y.; Kotek, H.
- Du kommst hier nicht rein: Türsteherfragen identifizieren nachlässige Teilnehmer in Online-Umfragen; 2016; Merkle, B.; Kaczmirek, L.; Hellwig, O.
- Smartphones vs PCs: Does the Device Affect the Web Survey Experience and the Measurement Error for...; 2016; Toninelli, D.; Revilla, M.
- Estimation and Adjustment of Self-Selection Bias in Volunteer Panel Web Surveys ; 2016; Niu, Ch.
- Sensitive Questions in Online Surveys: An Experimental Evaluation of Different Implementations of the...; 2016; Hoglinger, M.; Jann, B.; Diekmann, A.
- Design and test of a web-survey for collecting observer’s ratings on dairy goats’ behavioural...; 2016; Vieira, A.; Oliveira, M. D.; Nunes, T.; Stilwell, G.
- Can Student Populations in Developing Countries Be Reached by Online Surveys? The Case of the National...; 2016; Langer, A., Meuleman, B., Oshodi, A.-G. T., Schroyens, M.
- Feature phones no barrier to conducting an effective conjoint study ; 2016; de Rooij, R.; Dossin, R.
- Patient preference: a comparison of electronic patient-completed questionnaires with paper among cancer...; 2016; Martin, P.; Brown, M.C.; Espin‐Garcia, O.; Cuffe, S.; Pringle, D.; Mahler, M.; Villeneuve, J.;...
- Does the Use of Smartphones to Participate in Web Surveys Affect the Survey Experience when Sensitive...; 2016; Toninelli, D.; Revilla, M.
- Device use in web surveys: The effect of differential incentives; 2016; Mavletova, A. M.; Couper, M. P.
- Device Effects - How different screen sizes affect answers in online surveys; 2016; Fisher, B.; Bernet, F.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- The use of online social networks as a promotional tool for self-administered internet surveys; 2016; de Rada, V. D.; Arino, L. V. C; Blasco, M. G
- Assessing the Effects and Effectiveness of Attention-check Questions in Web Surveys: Evidence From a...; 2016; Vannette, D.
- Mode Effects on Subjective Well-being Research: Do they Affect Regression Coefficients? ; 2016; Sanchez Tome, R.; Roberts, C.; Staehli, M. E.; Joye, D.
- Evaluating a Modular Design Approach to Collecting Survey Data Using Text Messages ; 2016; West, B. T.; Ghimire, D.; Axinn, W.
- Reaching the Mobile Generation: Reducing Web Survey Non-response through SMS Reminders ; 2016; Kanitkar, K. N.; Marlar, J.
- Safety First: Ensuring the Anonymity and Privacy of Iranian Panellists’ While Creating Iran...; 2016; Farmanesh, A.; Mohseni, E.
- Non-Observation Bias in an Address-Register-Based CATI/CAPI Mixed Mode Survey; 2016; Lipps, O.
- Web surveys for offline rural communities ; 2016; Gichohi, B. W.
- On-line life history calendar and sensitive topics: A pilot study; 2016; Morselli, D.; Berchtold, A.; Granell, J.-C. S.; Berchtold, And.
- An experiment comparing grids and item-by-item formats in web surveys completed through PCs and smartphones...; 2016; Revilla, M.; Toninelli, D.; Ochoa, C.
- Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes; 2016; Chien, T. S.; Lin, W.S.
- Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey:...; 2016; Dal Grande, E.; Chittleborough, C. R.; Campostrini, S.; Dollard, M.; Taylor, A. W.
- Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode; 2016; Walsh, E.; Brinker, J. K.
- Mixing modes of data collection in Swiss social surveys: Methodological report of the LIVES-FORS mixed...; 2016; Roberts, C.; Joye, D.; Staehli, M. E.
- What is the gain in a probability-based online panel to provide Internet access to sampling units that...; 2016; Revilla, M.; Cornilleau, A.; Cousteaux, A-S.; Legleye, S; de Pedraza, P.