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81 results for “interview data”
Data Set from the DMP survey and interviews - intermediate results
<p>This is the data set for a series of interviews in chemistry on data management (plans) and presents interim results. A more detailed analysis and description can be found in the paper "Road to a Chemistry-specific Data Management Plan" submitted to Data Science Journal (2022-12-15).<br> The interview series will continue in 2023 and final results will be published later in 2023.</p> <p>The aim of the conducted interview series is the enrichment of the online survey data from the RDA WG Discipline-specific Guidance for DMP and in a second step the development of a chemistry-specific data management plan template. For this purpose, the current status of data management as well as information about the workflows in the various chemical disciplines were requested in a personal interview with 22 participants so far.</p> <p>All the gathered information and examples will be used to develop a DMP template or guide in line with chemistry-specific requirements. The results provide a comprehensive outlook on the future developments of RDM in chemistry. Possible strategies for implementation are also discussed.</p>
NIRS data during sandplay and interview
Open the record for dataset details and reuse information.
Medical interview score data from PostCC-OSCE and programs for an extended many-facet IRT model
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Data for Say it aloud: Measuring change talk and user perceptions in an automated, technology-delivered adaptation of motivational interviewing delivered by video-counsellor
<p>Two of three datasets from study where participants engaged in a spoken 'dialogue' with a pre-recorded video counsellor asking open questions to promote behaviour change. </p> <p><strong>interview length and change talk results.csv</strong> reports duration of dialogue and number of instances of change talk and sustain talk detected by human coders in each participant's speech. Transcripts of participants' speech are not uploaded because we did not request participants' consent for sharing. When designing the study, we did not know if people would feel comfortable speaking aloud to the computer; we did not want to make them feel more self-conscious by knowing their speech would shared. The data are from 16 of 18 participants; two were excluded for not talking about a goal to increase physical activity, which was a requirement of the study.</p> <p>Version 1.0 contains ratings of the number of instances of change and sustain talk, which required the coder to judge when a complex statement should be scored as containing more than one instance. Version 2.0 was created in response to a reviewer's suggestion that coders should simply score the presence or absence of change and sustain talk. The new dataset presents the agreed scoring of two independent coders who scored whether change or sustain talk were present in each participant's response to each question posed by the video-counsellor. </p> <p><strong>Questionnaire Units of Analysis.docx</strong> contains participants' written responses to an evaluation questionnaire completed one week after the interview. These responses were the raw material for thematic analysis. This dataset contains responses from 18 participants, including participants 7 and 11 who did not talk about a goal of physical activity when interacting with the video-counsellor.</p> <p> </p>
Data Set of Interviews with Industry Representatives on Smart Dust
<p>Data Set of Interviews with Industry Representatives on Smart Dust</p> <p>This data set comprises the following documents:</p> <ul> <li>Coding scheme</li> <li>Model development</li> <li>Interview guideline</li> </ul>
Interview data on provision and use of open data in South African higher education
<p>Data from interviews conducted with university planners, higher education studies researchers and the South African Department of Higher Education and Training (DHET). Data sourced for the 'Use of open data in the governance of South African higher education' research project, in the IDRC/WWWF 'Exploring Emerging Impacts of Open Data in the South' initiative.</p>
Supplementary Data: Raw interview data and NVivo11 analysis summary
<p>Interview data on a sample of software startups focusing on the early stages of their evolution paths.</p> <p>Summary of qualitative analysis of the data done with NVivo11 in a study focusing on the software startups from the viewpoints of resource-based-view and human capital theories. Human captital, defined as one type of resources in resource-based-view theory, is defined in existing research broadly as a set of capabilities, knowledge, skills, education, experience, and other similar human attributes, and seen as a source of economic growth at all levels from an individual to nations and the world.The qualitative analysis of the interview data was done to answer the following research questions: 1) What are the engineering-related capabilities necessary for creating a product in a software startup?, 2) What are the means to acquire the necessary capabilities?, and 3) What are the reasons for deploying different capability-acquiring means?</p> <p>The findings of the analysis were used for drawing conclusions, how the established theories, resource-based-view and human capital theories, fit to the actual situations in software startups.</p>
Transcripts of 28 interviews with researchers who fabricated data for an experiment
<p>For an experiment we recently conducted, we asked researchers to fabricate data for a Stroop experiment. The purpose of this experiment was to test whether we could use statistics to discern the fabricated data from genuine data we collected from Many Labs 3. We also interviewed the researchers about how they fabricated data, in order to learn how researchers actually fabricate data. We share these transcripts here for maximum reuse under a CC 0 license.</p> <p> </p>
Data from: Community Credit interviews on trust in consumer financial services
<p>The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we conducted 30 semi-structured interviews exploring people's everyday financial practices and their attitudes toward consumer financial services providers. This data set contains the transcripts from the interviews after excluding any personally identifying data.</p> <p>All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>
Opening education in the MENA region: In-depth interviews and Focus Group data with experts in open education in Egypt, Jordan, Lebanon, Morocco and Palestine.
<p>The two data sets presented here are part of a study which aimed at identifying cultural barriers in the adoption of open education in higher education in the Middle East, specifically in Egypt, Jordan, Lebanon, Morocco and Palestine. This study was conducted in the context of OpenMed – “Opening up Education in South-Mediterranean countries” (<a href="https://openmedproject.eu/">https://openmedproject.eu/</a>), an international cooperation project co-funded by the <a href="http://eacea.ec.europa.eu/erasmus-plus/actions/key-action-2-cooperation-for-innovation-and-exchange-good-practices/capacity-0_en">Erasmus+ Capacity Building in Higher Education programme</a> of the European Union during the period 15 October 2015 – 14 October 2018.</p> <p>The first document presents the transcripts of in-depth interviews (N=7) conducted in February 2018 through Skype with open education experts, from seven universities: namely: Alexandria University (Egypt), Cairo University (Egypt), German Jordanian University (Jordan), Princess Sumaya University of Technology (Jordan), Notre Dame University (Lebanon), Birzeit University (Palestine) and An-Najah University (Palestine). The second document is a transcript of a focus group which took place in Agadir (Morocco) in May 2018, with open education experts from eight universities: Alexandria University (Egypt), Cadi Ayyad University (Morocco), Cairo University (Egypt), German Jordanian University (Jordan), Ibn Zohr University (Morocco), Princess Sumaya University of Technology (Jordan), and An-Najah University (Palestine). Both the interviews and the focus group were conducted in English, digitally recorded and transcribed verbatim.</p> <p>For a rationale on the cultural factors impacting adoption of open educational practices see:</p> <ul> <li>Maya-Jariego, I. (2017). Localising Open Educational Resources and Massive Open Online Courses. In F. Nascimbeni, D. Burgos, A. Vetrò, E. Bassi, D. Villar-Onrubia, K. Winpenny, I. Maya Jariego, O. Mimi, R. Qasim, & C. Stefanelli (Eds.), <em>Open Education: fundamentals and approaches. A learning journey opening up teaching in higher education</em>. Erasmus+ Programme of the European Union.</li> </ul> <p>Project n.: 561651-EPP-1-2015-1-IT-EPPKA2-CBHE-JP</p>
Study Data: Obtaining Semi-Formal Models from Qualitative Data: From Interviews into BPMN Models in User-Centered Design Processes
<p>This dataset (Data.zip) contains the raw data of a user study on the investigation of transforming think aloud interviews into BPMN models. All information on how to use the data are provide in the SPSS files and as a readme file. This transformation is executed following a manual additionally provided in Documents.zip. For the training phase, a website was used provided in Website.zip including Screenshots for simpler re-use. Further information are also included as readme file in the zip container.</p> <p>Main research question answered is in how far the manual reduces interpretation and variance in the created models. </p>
Dataset: Problem-centred interviews results for Matching Data Life Cycle and Research Processes in Engineering Sciences
<p>The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.</p>
[DATA_SCIENCE] Interviews: The Secure Anonymised Information Linkage Databank (SAIL)
<p>This is a set of interview transcripts executed by Niccolò Tempini between September 2015 and October 2016, as part of the ERC project "The Epistemology of Data-Intensive Science", and in the context of a case study of SAIL. Please read the "Notes on transcript editing" document for further information.</p> <p>Two papers that specifically make use of these interviews have been published as of 2018:</p> <ul> <li>Tempini, N., Leonelli, S., 2018. Concealment and discovery: The role of information security in biomedical data re-use. Soc Stud Sci 48, 663–690. <a href="https://doi.org/10.1177/0306312718804875">https://doi.org/10.1177/0306312718804875</a></li> <li>Tempini, N., 2016. Science Through the “Golden Security Triangle”: Information Security and Data Journeys in Data-intensive Biomedicine, in: Proceedings of the 37th International Conference on Information Systems (ICIS 2016). <a href="https://aisel.aisnet.org/icis2016/ISHealthcare/Presentations/20/">https://aisel.aisnet.org/icis2016/ISHealthcare/Presentations/20/</a></li> </ul> <p>The transcripts document SAIL researchers' experience of infrastructure development and data curation and re-use practices. Researchers have consented to have these transcripts made available as Open Data. Other interviewees did not give consent, so those transcripts are held securely by the research team in Exeter.<br> You also find the information sheet provided to interviewees, which gives you the context for this project. Further information and related publications can be found at www.datastudies.eu.</p>
[DATA_SCIENCE] Interviews Plant Phenomics, 2015
<p>Here are two transcripts from a set of interviews executed by Sabina Leonelli in the fall of 2015 as part of the ERC project "The Epistemology of Data-Intensive Science", and in the context of a case study of phenotyping practices at the National Plant Phenomics Centre in Aberystwyth and collaborators. The transcripts document researchers' experience of data curation practices. Researchers have consented to have these transcripts made available as Open Data. Other interviewees did not give consent or ended up providing sensitive information in their interviews, so those transcripts cannot be made open and are held securely by the research team in Exeter. You also find the information sheet provided to interviewees, which gives you the context for this project. Further information can be found at <a href="http://www.datastudies.eu">www.datastudies.eu</a>. The transcripts have been redacted to exclude names of people who have not given consent to participate in the study, but have otherwise been left unedited and therefore contain several colloquial expressions. A paper by Sabina Leonelli which specifically makes use of these interviews will be published in 2019 in the European Journal for Philosophy of Science, under the title “What Distinguishes Data from Models?”. Freely accessible preprint here: <a href="http://philsci-archive.pitt.edu/id/eprint/15485">http://philsci-archive.pitt.edu/id/eprint/15485</a> . Several related publications can be found in Open Access formats on the project website: <a href="http://www.datastudies.eu">www.datastudies.eu</a>.</p>
Market interview data with industrial players
<p>The data is collected based on the designed interview guide with industry stakeholders such as professional buyers. The interviews are conducted in collaboration with the project partners in Spain, Brazil, and partly in South-Africa and the USA. The data will be analyzed for the four different countries representing the four zones of the Atlantic Ocean: 1) Brazil, 2) South Africa, 3) Spain 4) USA. The data will be analyzed for the professional buyers’ awareness and (interest for) trade of low trophic species and sustainable products.</p>
biogasoutcomesmalawi: Data for 61 semi-structured interviews with biogas owners in Malawi
<p>This dataset consists of 61 semi-structured interviews with biogas owners in the Southern Region of Malawi. Interviews were conducted over multiple visits to sites over the course of a two-year period between June 2021 and October 2022.</p>
Acupuncture for ADHD: Acupoint Data Mining, Clinical Effectiveness, and Interviews to Explore Treatment Outcomes.
ClinicalTrials.gov study NCT06860763. IPD Sharing: NO. Countries: 1. Publications: 19.
Data from: Community Credit interviews on trust in consumer financial services
Open the record for dataset details and reuse information.
Metadata for Research Data: A Needs Assessment in The Sciences Interview Transcript Dataset
<ul> <li>Transcripts of eight semi-structured interviews with researchers from life and natural sciences about their wishes and requirements for metadata for research data</li> <li>Interview guide (Interviewleitfaden) that was used to conduct all 8 Interviews</li> <li>Needs assessment in order to develop new needs-based Research Data Management services</li> <li>This dataset forms the basis of a Master's Thesis "Metadaten für Forschungsdaten: Bedürfnisse und Anforderungen in den Naturwissenschaften" (= Metadata for Research Data: A Needs Assessment in The Sciences) in Library and Information Science at the Humboldt University of Berlin (2019)</li> <li>The study was conducted as part of the work package "Metadata" of the Austrian project <a href="https://www.e-infrastructures.at/en/work-packages/metadata/">e-Infrastructures Austria Plus</a> (2017-2019)</li> <li>Transcripts of the Interviews C, E, F are in English; Transcript of the interviews A, B, D, G, H are in German</li> <li>Abstract (DE): Bei der Entwicklung von bedarfsgerechten Services im Bereich eScience sind Untersuchungen der Bedürfnisse und Anforderungen der Zielgruppen von besonderer Relevanz. Angelehnt an die Grounded Theory wurden im Rahmen des österreichweiten Projektes e-Infrastructures Austria Plus von April bis Mai 2019 acht Leitfadeninterviews mit Naturwissenschaftlern von der Universität Wien und der Medizinischen Universität Wien durchgeführt. Die Ergebnisse zeigen, dass ein Verständnis des Begriffes „Metadaten“ unter Forschenden noch nicht flächendeckend vorhanden ist. Es konnten aber mehrere Beispiele der Beschreibung von Daten in der Praxis identifiziert, sowie sechs Bereiche an Wünschen der Forschenden herausgearbeitet werden. Diese beschäftigen sich u. a. mit der Notwendigkeit, Services auf Deutsch und Englisch zu konzipieren, mit den Anforderungen an technische Infrastruktur oder dem Wunsch nach dem Einsatz von Data Stewards, die Fachkenntnisse aus einer relevanten Disziplin mitbringen.</li> <li>Abstract (EN): When developing needs-based services for eScience, studies of the needs and requirements of the target groups are of particular relevance. Based on the Grounded Theory, eight guided interviews with scientists from the University of Vienna and the Medical University of Vienna were conducted from April to May 2019 within the framework of the Austria-wide project e-Infrastructures Austria Plus. The results show that an understanding of the term "metadata" among researchers is not yet widely available. However, the study identifies several examples of describing data as well as six areas of researchers' needs in this area. These cover, among other things, the need to design services in German and English, the requirements for technical infrastructure or the desire to use data stewards who bring expertise from a relevant discipline.</li> </ul>
Data from: Robust inference on large-scale species habitat use with interview data: the status of jaguars outside protected areas in Central America
Evaluating range-wide habitat use by a target species requires information on species occurrence over broad geographic regions, a process made difficult by species rarity, large spatiotemporal sampling domains, and imperfect detection. We address these challenges in an assessment of habitat use for jaguars (Panthera onca) outside protected areas in Central America. Occurrence records were acquired within 12 putative corridors using interviews with knowledgeable corridor residents. We developed a Bayesian hierarchical occupancy model to gain robust inference, allowing for heterogeneity introduced in the sampling process over space and time, using records of jaguar occurrence prone to false positives and false negatives. Probability of false detection of jaguars increased with the number of interviews conducted per unit (from 5.42% to 7.74% given <4 and ≥4 observers per unit). True probability of detection (mean=0.58) increased with the number of days interviewees spent in a survey unit per year. Failing to account for false positives biased predicted habitat use high (˜1.8x), especially where occurrence records were sparse. Probability of site use by jaguars increased with greater forest cover, prey richness, and distance from human settlements, and decreased with greater agricultural cover, elevation, and distance from protected areas. Site use probabilities averaged 0.15-0.97 by corridor, providing relatively fine-scale resolution of predicted jaguar occurrence consistent with known patterns of jaguar gene flow across Central America. Model validation, accounting for both false positives and negatives in the observation process, indicated moderate correspondence between model-predicted observations and actual observations for withheld data (0.65, 95% CRI 0.59–0.71), with sensitivity and specificity rates of 0.69 (0.61 – 0.77) and 0.59 (0.50 – 0.68), respectively. These results demonstrate that reliable predictions can be achieved despite the complexity of large-scale, interview-based analyses of species occurrence. Synthesis and applications. Our Bayesian hierarchical occupancy model accommodated heterogeneity caused by typical sampling inequities and idiosyncrasies associated with interview data, yielding robust estimates of jaguar habitat use. Our approach is applicable to any wide-ranging and readily identifiable species and has particular utility for rare species in human-dominated landscapes where traditional survey techniques (e.g., camera traps) may be impractical.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.