https://researchdata.se/en/catalogue Search results en The material that is shared comes from the policy documents and guidelines on research data management that Swedish HEI have ratified. It is a workbook in Excel with a several sheets including explanations for categories, tables for which documents are included. Thu, 05 Nov 2026 12:57:58 GMT https://researchdata.se/en/catalogue/dataset/2025-229 https://researchdata.se/en/catalogue/dataset/2025-229 University of Borås Pieta Eklund Since 1993, the SOM Institute, in collaboration with the Faculty of Social Sciences at the University of Gothenburg, has conducted a student survey. The primary aim of the survey has been to create time series that make it possible to follow how students at the faculty perceive their studies and their social study environment. Another aim is to identify students as a group, with a focus on, for example, social background, age, and the underlying reasons for starting their studies. Through these time series, it is possible to identify trends and structural breaks among undergraduate and master’s students. Purpose: To find out how students feel about their education and the social environment at the University of Gothenburg Tue, 10 Feb 2026 10:13:22 GMT https://researchdata.se/en/catalogue/dataset/snd0902-1 https://researchdata.se/en/catalogue/dataset/snd0902-1 University of Gothenburg 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/en/catalogue/dataset/2024-624 https://researchdata.se/en/catalogue/dataset/2024-624 University of Gothenburg Richard T. Carson Jiajun Lu Emily A. Khossravi Gunnar Köhlin Erik Sterner Thomas Sterner Dale Whittington The data is a list of legal policy instruments related to housing policy which impacts or directly targets young adults in Sweden for the years 2010 to 2022. The file contains individual policy instruments classified by types, legal reference, data enacted (and end date if relevant), deciding authority, target group, whether the legislation directly targets or affects young adults, students, and young immigrants, whether it focuses on supply or demand, the tenure form targeted, whether the legislation is implemented at the national or local level, what is the instrument's aim, whether that aimed was achieved and sources for this evaluation. Tue, 06 May 2025 09:08:35 GMT https://researchdata.se/en/catalogue/dataset/2024-640 https://researchdata.se/en/catalogue/dataset/2024-640 University of Gothenburg 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/en/catalogue/dataset/2024-428 https://researchdata.se/en/catalogue/dataset/2024-428 University of Gothenburg 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/en/catalogue/dataset/2024-446 https://researchdata.se/en/catalogue/dataset/2024-446 University of Gothenburg 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/en/catalogue/dataset/2024-5 https://researchdata.se/en/catalogue/dataset/2024-5 University of Gothenburg Niklas Harring Anna Norden Michael Ndwiga Daniel Slunge The Swedish National Election Study 2014 was conducted in collaboration between the Department of Political Science in Gothenburg and Statistics Sweden (SCB). This collaboration has covered all of the parliamentary elections, referendums and elections to the European Parliament since 1956. The Department of Political Science is responsible for the questionnaires, interview instructions, processing of data, coding and analyses. SCB is responsible for sampling, field work and reporting to the official statistics. The election study 2014 was conducted in a collaboration between the Department of Political Science in Gothenburg and Statistics Sweden (SCB). This collaboration has covered all of the parliamentary elections, referendums and elections to the European Parliament since 1956. The Department of Political Science is responsible for the questionnaires, interview instructions, processing of data, coding and analyses. SCB is responsible for sampling, field work and reporting to the official statistics. The election study of the parliamentary election 2014 follows the same design as all of the previous election studies since the election in 1973. The study includes a representative sample of 3971 Swedish citizens who are qualified to vote in the age range 18–80 years old. Swedish citizens living abroad were excluded from the sample. 2230 individuals from the 3971 individuals included in the sample participated in an interview (56 percent). The number of drop-outs (non-response) was 1741 individuals. 845 individuals from this group declined participation, 800 individuals were not available and 91 persons could not participate because of illness or similar reasons (information is missing for 5 individuals). The study is divided into two stages, one stage before the election and one stage after the election. Half of the sample is selected to be interviewed before the election, and the other half of the sample is to be interviewed after the election. The individuals who are interviewed before the election also receive a shorter questionnaire after the election, including questions about their voting choice in the election 2014 (parliament, county council and local municipality). The individuals who could, for different reasons, not be interviewed before the election by SCB are contacted again after the election. The respondents will then answer the post-election questionnaire. The sample is is comprised of a two-step-panel. Half of the individuals in the selection participated in the election study of 2010 and are interviewed again in the election study 2014. The other half of the individuals in the sample are interviewed for the first time 2014 and are contacted again for an interview 2018. Election studies, as with all survey studies, are affected by increasingly large numbers of drop-outs (non-responses). All of the individuals who hesitate/decline to participate in an interview are therefore asked to participate in a shortened version of the interview in order to mitigate the effect of this problem. Individuals who hesitate to participate in the shortened version are asked to participate in an extremely shortened version of the questionnaire. The field work in stage A, the pre-election interviews, started the 18th of August and finished the 12th of September. The individuals who responded in stage A received a shorter post election-questionnaire by mail on the 15th of September. The field work in stage B, the post-election interviews, started the day after the election, the 15th of September, and finished the 10th of October. The work that followed was finished by the beginning of November. Tue, 09 Mar 2021 15:12:44 GMT https://researchdata.se/en/catalogue/dataset/snd1039-1 https://researchdata.se/en/catalogue/dataset/snd1039-1 University of Gothenburg 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/en/catalogue/dataset/doi-10-7910-dvn-ila0xi https://researchdata.se/en/catalogue/dataset/doi-10-7910-dvn-ila0xi Stockholm University 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 The study investigates two multilayer networks of policy actors and policy issues. Using data derived from two venues for collaborative water governance in the Norrström basin, Sweden, we investigate whether and how policy issues and policy issue interdependencies influence actors’ selection of collaborative partners. This data set contains multilevel network data consisting of two types of nodes (actors and issues) and ties between them. The anonymized data consist of two social networks (sociomatrices) describing policy actors' collaboration through their exchange of information. One network is for the water council of Mälaren (MVVF) and the other is for the water council of Hjälmaren (HVVF). The social networks are described as A files, and are binary (1 or 0 - either actors have a network tie or not). Every row and column represent an actor in the same order, and the binary data the ties between them. Every A file has a complementary attribute file, with actors' attributes such as them holding a position as chair, civil servant, politician or "other". Every row represents an actor. X files describe links between actors and policy issues, i.e. actors' engagement in policy issues. Every row represents an actor and every column represents a policy issue. The B file describes data on the interdependency between policy issues, i.e. how much efforts to address one policy issue impacts efforts to address another policy issue. Every row and column represents a policy issue, and the binary data the ties between them. The dataset is adapted for the software MPNet and can also be used with other programs e.g. R. Fri, 30 Oct 2020 09:25:09 GMT https://researchdata.se/en/catalogue/dataset/2020-168-1 https://researchdata.se/en/catalogue/dataset/2020-168-1 Stockholm University Johanna Hedlund