https://researchdata.se/sv/catalogue Search results sv Material i filen kommer från policydokument och riktlinjer som svenska lärosäten har antagit för hantering av forskningsdata. Det är en arbetsbok i Excel med flera blad med data, förklaringar för kategorierna och tabeller för vilka policys och riktlinjerna har inkluderats. Thu, 05 Nov 2026 12:57:58 GMT https://researchdata.se/sv/catalogue/dataset/2025-229 https://researchdata.se/sv/catalogue/dataset/2025-229 Högskolan i Borås Pieta Eklund SOM-institutet har sedan 1993, tillsammans med Göteborgs universitets samhällsvetenskapliga fakultet, genomfört en studentundersökning. Det huvudsakliga syftet med undersökningen har varit att skapa tidsserier där det går att följa hur fakultetens studenter uppfattar sina studier och sin studiesociala miljö. Ett annat syfte är att identifiera studenterna som grupp, med fokus på exempelvis social bakgrund, ålder och bakomliggande orsaker till att de påbörjat sina studier. Genom dessa tidsserier kan man utläsa trender och trendbrott bland gruppen studenter och mastersstudenter. Syfte: Ta reda på hur studenterna uppfattar sin utbildning och den studiesociala miljön vid Göteborgs universitet Tue, 10 Feb 2026 10:13:22 GMT https://researchdata.se/sv/catalogue/dataset/snd0902-1 https://researchdata.se/sv/catalogue/dataset/snd0902-1 Göteborgs universitet The current dataset is a subset of a large data collection based on a purpose-built survey conducted in seven middle-income countries in the Global South: Chile, Colombia, India, Kenya, Nigeria, Tanzania, South Africa and Vietnam. The purpose of the collected variables in the present dataset aims to understanding public preferences as a critical way to any effort to reduce greenhouse gas emissions. There are many studies of public preferences regarding climate change in the Global North. However, survey work in low and middle-income countries is limited. Survey work facilitating cross-country comparisons not using the major omnibus surveys is relatively rare. We designed the Environment for Development (EfD) Seven-country Global South Climate Survey (the EfD Survey) which collected information on respondents’ knowledge about climate change, the information sources that respondents rely on, and opinions on climate policy. The EfD survey contains a battery of well-known climate knowledge questions and questions concerning the attention to and degree of trust in various sources for climate information. Respondents faced several ranking tasks using a best-worst elicitation format. This approach offers greater robustness to cultural differences in how questions are answered than the Likert-scale questions commonly asked in omnibus surveys. We examine: (a) priorities for spending in thirteen policy areas including climate and COVID-19, (b) how respiratory diseases due to air pollution rank relative to six other health problems, (c) agreement with ten statements characterizing various aspects of climate policies, and (d) prioritization of uses for carbon tax revenue. The company YouGov collected data for the EfD Survey in 2023 from 8400 respondents, 1200 in each country. It supplements an earlier survey wave (administered a year earlier) that focused on COVID-19. Respondents were drawn from YouGov’s online panels. During the COVID-19 pandemic almost all surveys were conducted online. This has advantages and disadvantages. Online survey administration reduces costs and data collection times and allows for experimental designs assigning different survey stimuli. With substantial incentive payments, high response rates within the sampling frame are achievable and such incentivized respondents are hopefully motivated to carefully answer the questions posed. The main disadvantage is that the sampling frame is comprised of the internet-enabled portion of the population in each country (e.g., with computers, mobile phones, and tablets). This sample systematically underrepresents those with lower incomes and living in rural areas. This large segment of the population is, however, of considerable interest in its own right due to its exposure to online media and outsized influence on public opinion. The data includes respondents’ preferences for climate change mitigation policies and competing policy issues like health. The data also includes questions such as how respondents think revenues from carbon taxes should be used. The outcome provide important information for policymakers to understand, evaluate, and shape national climate policies. It is worth noting that the data from Tanzania is only present in Wave 1 and that the data from Chile is only present in Wave 2. Wed, 20 Aug 2025 14:45:09 GMT https://researchdata.se/sv/catalogue/dataset/2024-624 https://researchdata.se/sv/catalogue/dataset/2024-624 Göteborgs universitet Richard T. Carson Jiajun Lu Emily A. Khossravi Gunnar Köhlin Erik Sterner Thomas Sterner Dale Whittington Data är en lista över rättsliga styrmedel relaterade till bostadspolitik som påverkar eller riktar sig mot unga vuxna i Sverige för perioden 2010 till 2022. Filen innehåller enskilda styrmedel klassificerade efter typ, laghänvisning, datum för ikraftträdande (och slutdatum om relevant), beslutande myndighet, målgruppen, om lagstiftningen direkt riktar sig mot eller påverkar unga vuxna, studenter och unga invandrare, om den fokuserar på utbud eller efterfrågan, vilken upplåtelseform som avses, om lagstiftningen genomförs på nationell eller lokal nivå, vad som är styrmedlets syfte, om syftet uppnåddes och källor för denna utvärdering. Tue, 06 May 2025 09:08:35 GMT https://researchdata.se/sv/catalogue/dataset/2024-640 https://researchdata.se/sv/catalogue/dataset/2024-640 Göteborgs universitet Alix Gabaude Ylva Norén Bretzer We collected data in five East African countries (Kenya, Tanzania, Uganda, Ethiopia and Rwanda) on public opinions about different policy instruments to reduce plastic pollution. The questionnaire also included questions on material, internal and inter-relational factors, the level of concern about different environmental challenges, trust in others and in government institutions and socio-demographic characteristics. In order to understand the level of public support of policy instruments that address plastic pollution, respondents were asked for their opinion on (i) “a prohibition or ban on the use of plastic bags”; (ii) “a prohibition or ban on the use of single use plastics such as water bottles, straws and plastic spoons, knives and forks”; and (iii) “increasing the price on single use plastics, for example, by introducing a tax”. The responses were recorded on a Likert scale of 1-5, with 1 as strongly against and 5 as strongly in favor. The survey was performed under informed consent. A survey company based in Kenya was recruited to collect the data. The questionnaire was composed in English and then translated into the following languages: Kenya—Swahili and Somali; Tanzania—Swahili; Uganda—Luganda and Runyanoke; Rwanda—Kinyarwanda and French; and Ethiopia—Amharic, Tigrinya, Oromo and Somali. These translations were performed by native-speaking translators recruited by the company. The interviews were conducted by 26 experienced enumerators and 5 supervisors using Computer Assisted Telephone Interviews (CATI), and all responses were recorded with Kobo Toolbox software. Before conducting the interviews, the enumerators completed a two-day training session on the topics in the questionnaire and various techniques for collecting data using the CATI method. A pilot study was conducted in January 2022 with 200 respondents in each of the five focal countries to test the reliability and content validity of the questionnaire. Additionally, the pilot study enabled refining the questionnaire with feedback from both the enumerators and respondents. The company used its existing national databases of respondents involved in earlier investigations to recruit survey respondents in each of the five countries. Screening questions were used to recruit samples that were representative of the adult population in terms of age, gender and area of residence in the five countries. In total, 7,622 respondents were contacted. Following three reminders, a total of 4,766 responses with complete answers (63% response rate) were collected during March 17–28, 2022, in the five countries as follows: Ethiopia, 950; Kenya, 959; Rwanda, 991; Tanzania, 981; and Uganda, 885. Since questions regarding trust in institutions can be sensitive, we allowed respondents to opt out by answering "don't know". In the data, these responses are treated as missing values. As a result, we currently have 312 missing values for the question regarding trust in institutions. Respondents took between 10 and 23 minutes to complete the survey, with a mean completion time of 16 minutes. Research approval was received from the National Commission of Science, Technology and Innovation (NACOSTI) in Kenya, and the survey company possesses national research permits for each of the five focal countries. The present data description is related to data descriptions " Public acceptance of policy instruments to reduce forest loss: Exploring cross-national variation in East Africa " and "Public acceptability of policy instruments for reducing fossil fuel consumption in East Africa". The three data descriptions are subsets of the same main data collection, and are part of the Environment for Development (EfD) catalog in the Swedish National Data Service. Each data description with its corresponding dataset contains only the relevant dependent variables for a particular research study. In particular, this dataset does not have questions q4, q5, q6 and q7, q8, q9, q10. Dependent variables for this study are q1, q2, q3. Missing data points are marked with the value 98. Wed, 25 Sep 2024 08:36:41 GMT https://researchdata.se/sv/catalogue/dataset/2024-428 https://researchdata.se/sv/catalogue/dataset/2024-428 Göteborgs universitet John Sseruyange Jackson Otieno Dawit W. Mulatu Martin Chegere Michael Ndwiga Daniel Slunge We collected data in five East African countries (Kenya, Tanzania, Uganda, Ethiopia and Rwanda) focusing on citizens’ perceptions on forest loss-reducing policy instruments along with the role of socio-economic factors on these perceptions. The questionnaire included questions that asked about their opinion about a ban or tax on cutting trees in public and community forests, and a ban or tax on using charcoal. The survey was performed under informed consent. A survey company based in Kenya was recruited to collect the data. The questionnaire was composed in English and then translated into the following languages: Kenya—Swahili and Somali; Tanzania—Swahili; Uganda—Luganda and Runyanoke; Rwanda—Kinyarwanda and French; and Ethiopia—Amharic, Tigrinya, Oromo and Somali. These translations were performed by native-speaking translators recruited by the company. The interviews were conducted by 26 experienced enumerators and 5 supervisors using Computer Assisted Telephone Interviews (CATI), and all responses were recorded with Kobo Toolbox software. Before conducting the interviews, the enumerators completed a two-day training session on the topics in the questionnaire and various techniques for collecting data using the CATI method. A pilot study was conducted in January 2022 with 200 respondents in each of the five focal countries to test the reliability and content validity of the questionnaire. Additionally, the pilot study enabled refining the questionnaire with feedback from both the enumerators and respondents. The company used its existing national databases of respondents involved in earlier investigations to recruit survey respondents in each of the five countries. Screening questions were used to recruit samples that were representative of the adult population in terms of age, gender and area of residence in the five countries. In total, 7,622 respondents were contacted. Following three reminders, a total of 4,766 responses with complete answers (63% response rate) were collected during March 17–28, 2022, in the five countries as follows: Ethiopia, 950; Kenya, 959; Rwanda, 991; Tanzania, 981; and Uganda, 885. Since questions regarding trust in institutions can be sensitive, we allowed respondents to opt out by answering "don't know". In the data, these responses are treated as missing values. As a result, we currently have 312 missing values for the question regarding trust in institutions. Respondents took between 10 and 23 minutes to complete the survey, with a mean completion time of 16 minutes. Research approval was received from the National Commission of Science, Technology and Innovation (NACOSTI) in Kenya, and the survey company possess national research permits for each of the five focal countries. The present data description is related to data descriptions "Public acceptance of policy instruments to reduce plastic pollution in East Africa" and "Public acceptability of policy instruments for reducing fossil fuel consumption in East Africa". The three data descriptions are subsets of the same main data collection, and are part of the Environment for Development (EfD) catalog in the Swedish National Data Service. Each data description with its corresponding dataset contains only the relevant dependent variables for a particular research study. In particular, this dataset does not have questions q1, q2, q3 and q4, q5, q6. Dependent variables for this study are q7, q8, q9, q10. Missing data points are marked with the value 98. Wed, 25 Sep 2024 08:32:50 GMT https://researchdata.se/sv/catalogue/dataset/2024-446 https://researchdata.se/sv/catalogue/dataset/2024-446 Göteborgs universitet Aloyce Hepelwa Michael Ndwiga Bosco Okumu Hailemariam Teklewold Peter Babyenda Matilda Ntiyakunze Jesper Stage Daniel Slunge We collected data in five East African countries (Kenya, Tanzania, Uganda, Ethiopia and Rwanda) on public opinions about different policy instruments to reduce the use of fossil fuels in the transport sector. The questionnaire also included questions on the dependency on fossil fuels, the level of concern about different environmental challenges, trust in others and in government institutions and socio-demographic characteristics. The survey was performed under informed consent. A survey company based in Kenya was recruited to collect the data. The questionnaire was composed in English and then translated into the following languages: Kenya—Swahili and Somali; Tanzania—Swahili; Uganda—Luganda and Runyanoke; Rwanda—Kinyarwanda and French; and Ethiopia—Amharic, Tigrinya, Oromo and Somali. These translations were performed by native-speaking translators recruited by the company. The interviews were conducted by 26 experienced enumerators and 5 supervisors using Computer Assisted Telephone Interviews (CATI), and all responses were recorded with Kobo Toolbox software. Before conducting the interviews, the enumerators completed a two-day training session on the topics in the questionnaire and various techniques for collecting data using the CATI method. A pilot study was conducted in January 2022 with 200 respondents in each of the five focal countries to test the reliability and content validity of the questionnaire. Additionally, the pilot study enabled refining the questionnaire with feedback from both the enumerators and respondents. The company used its existing national databases of respondents involved in earlier investigations to recruit survey respondents in each of the five countries. Screening questions were used to recruit samples that were representative of the adult population in terms of age, gender and area of residence in the five countries. In total, 7,622 respondents were contacted. Following three reminders, a total of 4,766 responses with complete answers (63% response rate) were collected during March 17–28, 2022, in the five countries as follows: Ethiopia, 950; Kenya, 959; Rwanda, 991; Tanzania, 981; and Uganda, 885. Since questions regarding trust in institutions can be sensitive, we allowed respondents to opt out by answering "don't know". In the data, these responses are treated as missing values. As a result, we currently have 312 missing values for the question regarding trust in institutions. Respondents took between 10 and 23 minutes to complete the survey, with a mean completion time of 16 minutes. Research approval was received from the National Commission of Science, Technology and Innovation (NACOSTI) in Kenya, and the survey company possess national research permits for each of the five focal countries. The present data description is related to data descriptions "Public acceptance of policy instruments to reduce plastic pollution in East Africa" and " Public acceptance of policy instruments to reduce forest loss: Exploring cross-national variation in East Africa ". The three data descriptions are subsets of the same main data collection, and are part of the Environment for Development (EfD) catalog in the Swedish National Data Service. Each data description with its corresponding dataset contains only the relevant dependent variables for a particular research study. In particular, this dataset does not have questions q1, q2, q3 and q7, q8, q9, q10. Dependent variables for this study are q4, q5, q6. Missing data points are marked with the value 98. Thu, 27 Jun 2024 11:23:06 GMT https://researchdata.se/sv/catalogue/dataset/2024-5 https://researchdata.se/sv/catalogue/dataset/2024-5 Göteborgs universitet Niklas Harring Anna Norden Michael Ndwiga Daniel Slunge Valundersökningen 2014 genomfördes i samarbete mellan Statsvetenskapliga institutionen, Göteborgs universitet och Statistiska centralbyrån (SCB). Samarbetet har pågått vid samtliga ordinarie riksdagsval, folkomröstningar och Europaparlamentsval sedan 1956. Statsvetenskapliga institutionen ansvarar för frågeformuleringar, framställning av frågeformulär, svarskort, intervjuarinstruktioner, databearbetning, kodning och analyser. SCB ansvarar för urval, fältarbete och redovisning i den officiella statistiken. Fältarbetet utgjordes av besöksintervjuer, uppföljningsarbetet av både besöks- och telefonintervjuer. Valundersökningen i samband med riksdagsvalet 2014 följer samma design som alla valundersökningar sedan valet 1973. I undersökning ingår ett representativt urval av 3 971 röstberättigade svenska medborgare, i åldern 18-80 år. Svenska medborgare boende i utlandet ingår inte i urvalet. Av urvalets 3 971 personer ställde 2 230 upp för intervju (56 procent). Bortfallet utgjordes av 1 741 personer. Av dessa avböjde 845 personer medverkan, 800 personer var inte anträffbara och 91 personer var förhindrade att medverka på grund av sjukdom eller liknande (för 5 personer saknas uppgift). Undersökningen är uppdelad i två etapper, en förvalsetapp och en eftervals etapp. Halva urvalet är draget för att intervjuas före valet, och andra urvalet för att intervjuas efter valet. Till personer som intervjuas före valet sänds en kortare postenkät ut efter valet, med bland annat frågor om vilka partier de faktiskt röstade på 2014 (riksdag, landsting och kommun). De personer som SCB av olika skäl inte kunnat intervjua före valet återkontaktas i uppföljningsarbetet efter valet. Intervjupersonerna får då svara på eftervalsversionen av frågeformuläret. Urvalet är upplagt som en två-stegs-panel. Halva urvalet deltog redan i 2010 års valundersökning och intervjuas åter i valundersökningen 2014. Den andra halvan av urvalet intervjuas för första gången 2014 och kontaktas åter för intervju 2018. Valundersökningar, liksom andra surveyundersökningar, drabbas av allt större bortfall. För att lindra effekten av problemet erbjuds därför intervjupersoner som tvekar/vägrar att ställa upp för intervju en förkortad version av frågeformuläret. Personer som även tvekar att svara på den förkortade versionen erbjuds en extremt förkortad version av frågeformuläret. Fältarbetet för etapp A, förvalsintervjuer, startade den 18 augusti och avslutades den 12 september. Den 15 september hade svarande i etapp A via post fått en kortare eftervalsenkät. Fältarbetet för etapp B, eftervalsintervjuer, startade dagen efter valet den 15 september och avslutades den 10 oktober. Det därefter pågående uppföljningsarbetet avlutades i början av november. Tue, 09 Mar 2021 15:12:44 GMT https://researchdata.se/sv/catalogue/dataset/snd1039-1 https://researchdata.se/sv/catalogue/dataset/snd1039-1 Göteborgs universitet Henrik Ekengren Oscarsson Per Hedberg Per Oleskog Tryggvason Linda Berg The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" integrates the findings of an initiative to assess the multiple roles of blue foods in food systems worldwide (https://www.bluefood.earth/) and translates them into four policy objectives aimed at realizing the contributions of aquatic foods to more nutritious, just, resilient and environmentally sustainable food systems. This dataset contains the variables used to assess conditions (at the level of nations) when blue food policy objectives are likely to be relevant. The R code used for Boolean analysis is available here: https://github.com/emmywas/BFA_Policy_analysis The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" is part of the Blue Food Assessment ( https://www.bluefood.earth/ ) a comprehensive examination of the role of aquatic foods in building healthy, sustainable, and equitable food systems. The assessment was supported by the Builders Initiative, the MAVA Foundation, the Oak Foundation, and the Walton Family Foundation. BC also thanks the Erling Persson Family Foundation. Fri, 01 Jan 2021 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-7910-dvn-ila0xi https://researchdata.se/sv/catalogue/dataset/doi-10-7910-dvn-ila0xi Stockholms universitet Crona, Beatrice Jonell, Malin Koehn, Zachary Short, Rebecca Tigchelaar, Michelle Daw, Tim Wassénius, Emmy Golden, Christopher D. Gephart, Jessica A. Allison, Edward H. Bush, Simon R. Cao, Ling Cheung, William W.L. DeClerk, Fabrice Fanzo, Jessica Gelcich, Stefan Kishore, Avinash Halpern, Benjamin S. Hicks, Christina C. Leape, James P. Little, David C. Micheli, Fiorenza Naylor, Rosamond L. Phillips, Michael Selig, Elizabeth R. Springmann, Marco Sumaila, Rashid U. Troell, Max Thilsted, Shakuntala H. Wabnitz, Colette Studien undersöker två nätverk av beslutsfattande aktörer och vattenfrågor. Med hjälp av data från två vattenvårdsförbund aktiva i vattenförvaltningen av Norrströms avrinningsområde, Sverige, undersöker vi om och hur vattenfrågor och vattenfrågors interdependens påverkar aktörers val av samverkanspartner. Det här datasetet innehåller nätverksdata i två lager bestående av två typer av noder (aktörer och vattenfrågor) och länkar mellan dem. Det anonymiserade datasetet består av två sociala nätverk (sociomatriser) som beskriver policyaktörers samverkan genom utbyte av information. Ett nätverk är för Mälarens vattenvårdsförbund (MVVF) och ett är för Hjälmarens vattenvårdsförbund (HVVF). De sociala nätverken är beskrivna som A-filer, och är binära (1 eller 0 - antingen har aktörerna en länk i nätverket eller ej). Varje rad och kolumn representerar aktörer i samma ordning, och den binära datan länkarna mellan dem. Varje A-fil har en tillhörande attributfil, med aktörers attribut som ordförande, tjänsteman, politiker, eller "övrigt". Varje rad representerar en aktör. X-filer anger länkar mellan aktörer och vattenfrågor, dvs aktörers engagemang i vattenfrågor. Varje rad representerar en aktör och varje kolumn en vattenfråga. B-filen anger data över olika vattenfrågors interdependens, dvs hur mycket arbete med en vattenfråga påverkar arbete med en annan vattenfråga. Varje rad och kolumn representerar en vattenfråga och den binära data länkarna mellan dem. Datasetet är anpassat för mjukvaran MPNet och kan även användas av andra program som t.ex. R. Fri, 30 Oct 2020 09:25:09 GMT https://researchdata.se/sv/catalogue/dataset/2020-168-1 https://researchdata.se/sv/catalogue/dataset/2020-168-1 Stockholms universitet Johanna Hedlund