DOI: 10.6084/m9.figshare.23300393.v1
title: Interview Cristiana Nascimento: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia

description: <strong>GENERAL INFORMATION</strong> <br> 1. Title of Dataset: Interview Cristiana Nascimento: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia 2. Participant Name: Cristiana Nascimento 3. Consent for Open-Access Data Repository:Yes 4. Author Information A. Principal Investigator Contact Information Name: SARINA JOAN KILHAM ORCID: 0000-0001-5234-2764 Institution: CHARLES STURT UNIVERSITY, WAGGA WAGGA, AUSTRALIA Address: Email: sarinakilham@gmail.com 5. Date of data collection (single date, range, approximate date): 2022-2023 6. Geographic location of data collection : Sydney, Australia 7. Information about funding sources that supported the collection of the data: City of Sydney Knowledge Exchange Sponsorship [2021/159649 / KEX 202122041] The Australian Sociological Association: Gary Bouma Memorial Workshop Program 2022 8. Human Research Ethics Protocol: Charles Sturt University Human Research Ethics Committee Protocol Approval: H21466 9. Description/Abstract: This research project will pilot and adapt a holistic mapping methodology called URBAL (Urban-Driven Innovations for Sustainable Food Systems) to examine urban food system sustainability innovation in the City of Sydney LGA. The research findings will give policy-makers and community led organisations (CLOs) a shared view and understanding of ‘what food systems innovations work’ and ‘why they work’. The results will be used by local governments, NGOs and food-based CLOs to inform, support and develop future food policy and sustainable food projects. This is interdisciplinary research that primarily uses contemporary social science approaches. 10. Subject: Social Sciences 11. Australian and New Zealand Standard Research Classification (ANZSRC) Field of Research Code: 160804 12. Australian and New Zealand Standard Research Classification (ANZSRC) Socio-economic Objective (SEO) Code: 960799 13. Keywords: food governance, innovation, urban food systems, social innovation, 14. Contributor Information A. Research Associate Name: TANIA LEIMBACH ORCID: 0000-0002-8144-5065 Email: tanialeimbach@gmail.com B. Research Associate Name: TANJA ROSENQVIST ORCID: 0000-0003-3899-6694 Email: tsrosenqvist@gmail.com 15: Type of Data: qualitative, interview transcripts, audio interviews 16: Format of Data: text READme file , .mp3 audio files , .rtf transcripts 17: Software: MSOffice 365 Education version 16.57, 2021. Descript Audio App. Zoom Meeting app. Rode Reporter Audio Recording App. 18: Version: Version 1. First Release 19: Terms and conditions of use: Creative Commons Attribution Non Commercial CC BY-NC <br> <strong>SHARING/ACCESS INFORMATION</strong> <br> 1. Licenses/restrictions placed on the data: Yes 2. Links to publications that cite or use the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649 3. Links to other publicly accessible locations of the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649 4. Links/relationships to ancillary data sets: Yes. Additional Datasets are available in the fig share link. 5. Was data derived from another source? No A. If yes, list source(s): 6. Recommended citation for this dataset: Kilham, Sarina (2023). Interview Cristiana Nascimento: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia. <strong>METHODOLOGICAL INFORMATION</strong> <br> 1. Description of methods used for collection/generation of data: Semi-structured interviews. Data was created through interviews with participants in Australian English. Interviews were audio recorded on iPhone 8 with rode microphone. 2. Consent: Each participant was provided a Participant Information Form and a consent form. Participants were asked explicitly asked about inclusion of their material in the open- access databank and provided informed consent. 3. Ownership and Access: R01-Sarina Kilham. Open-Access Data Archive- Creative Commons Attribution Non Commercial CC BY-NC 4. Collection Mode: Audio recorded semi-structured interview. Interviews conducted in person or via online meeting software. 5. Sampling Method: purposeful sampling via open invitation to community of practitioners. 6. Methods for processing the data: Interviews were recorded in multiple audio-files to prevent data loss by stopping and re-starting the audio recorder. Audio files were combined in the software "Descript" and exported as a single audio file. The single audio file was transcribed by AI-Tool in the software "Descript" and checked by a human for accuracy. Transcripts were sent to participants to for accuracy checking, and the version included here incorporates any amendments or rectifications from the participants. 7. Instrument- or software-specific information needed to interpret the data: Software: Descript. Used for AI-transcriptions and combining multiple audio files into single file. 8. Standards and calibration information, if appropriate: n/a 9. Environmental/experimental conditions: n/a 10. Describe any quality-assurance procedures performed on the data: Sarina Kilham checked all transcriptions against the original audio for accuracy. Participants were sent transcriptions for checking. 11. People involved with sample collection, processing, analysis and/or submission: R01-SARINA KILHAM <br> <strong>DATA & FILE OVERVIEW</strong> <br> 1. File List: 001-interviewaudio_p01_cristiananascimento_v01.mp3: single audio file of interview 001-interviewtranscript_p01_cristiananascimento_v01.txt : transcript of audio Readme.txt: metadata, license and file data. 2. Relationship between files, if important: Dataset files can be used individually or as a dataset collection. 3. Additional related data collected that was not included in the current data package: No 4. Are there multiple versions of the dataset? No -- <strong>DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_cristiananascimento_v01.txt</strong> 1. Number of variables: n/a 2. Number of cases/rows: n/a 3. Variable List: n/a 4. Missing data codes: n/a 5. Specialized formats or other abbreviations used: n/a 6: Kind: text format 7: word count: 8,600 <br> <strong>DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_cristiananascimento_v01.mp3</strong> <br> 1. Number of variables: n/a 2. Number of cases/rows: n/a 3. Variable List: n/a 4. Missing data codes: n/a 5. Specialized formats or other abbreviations used: n/a 6. Duration: 53 minutes 7. Audio channels: mono 8. Sample rate: 44.1kHz 9. Kind: mp3 audio <br> <strong>CITATION TOPICS</strong> Web of Science Macro Level Citation topic: Social Sciences Web of Science Meso label: 6.86 Human Geography 6.153 Climate Change 6.153 Climate Change 6.153 Climate Change 6.263 Agricultural Policy 6.263 Agricultural Policy 6.303 Sociology 6.303 Sociology Web of Science Micro label: 6.86.149 Gentrification 6.153.558 Climate Change Adaptation 6.153.742 Science Communication 6.153.2227 Strategic Environmental Assessment 6.263.898 Farmers 6.263.1407 Urban Agriculture 6.303.1915 Public Sociology 6.303.2393 Social Policies <br> --END--- <br> <br> <br>