Interview Liz Millen: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia

GENERAL INFORMATION 1. Title of Dataset: Interview Liz Millen: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia 2. Participant Name: Liz Millen 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 Email: [e-mail] 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: [e-mail] B. Research Associate Name: TANJA ROSENQVIST ORCID: 0000-0003-3899-6694 Email: [e-mail] 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 SHARING/ACCESS INFORMATION 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 Liz Millen: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia METHODOLOGICAL INFORMATION 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 DATA & FILE OVERVIEW 1. File List: 001-interviewaudio_p01_lizmillen_v01.mp3: single audio file of interview 001-interviewtranscript_p01_lizmillen_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 -- DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_lizmillen_v01.txt 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: 8,075 DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_lizmillen_v01.mp3 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: 47 minutes 30 seconds 7. Audio channels: mono 8. Sample rate: 44.1kHz 9. Kind: mp3 audio CITATION TOPICS 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 --END---一、 基本概况 1. 数据集名称：专访莉兹·米伦（Liz Millen）：绘制澳大利亚悉尼可持续粮食系统城市驱动型创新图谱 2. 受访者姓名：莉兹·米伦（Liz Millen） 3. 开放获取数据仓储授权：是 4. 作者信息 A. 项目负责人联系方式： 姓名：萨里娜·琼·基尔汉姆（SARINA JOAN KILHAM） 开放研究者与贡献者身份识别码（ORCID）：0000-0001-5234-2764 所属机构：澳大利亚查尔斯特大学（CHARLES STURT UNIVERSITY），瓦格瓦格校区 电子邮箱：[e-mail] 5. 数据采集日期：2022年至2023年 6. 数据采集地理位置：澳大利亚悉尼市 7. 数据采集资助来源：悉尼市知识交流赞助项目[2021/159649 / KEX 202122041]；澳大利亚社会学协会2022年加里·布马纪念研讨会项目 8. 人类研究伦理审批：查尔斯特大学人类研究伦理委员会审批编号：H21466 9. 研究概述/摘要：本研究项目将试点并适配一套名为URBAL（可持续粮食系统城市驱动型创新）的整体性图谱绘制方法论，以考察悉尼地方政府区域（Local Government Area, LGA）内的城市粮食系统可持续创新。本研究成果将为政策制定者与社区主导组织（Community Led Organisations, CLOs）提供关于"哪些粮食系统创新切实有效"及"其有效缘由"的共识性认知。当地政府、非政府组织以及以粮食为核心的社区主导组织可借助该研究结果，制定、优化并推进未来的粮食政策与可持续粮食项目。本研究属于跨学科研究，主要采用当代社会科学研究方法。 10. 研究主题：社会科学 11. 澳大利亚与新西兰标准研究分类（Australian and New Zealand Standard Research Classification, ANZSRC）研究领域代码：160804 12. 澳大利亚与新西兰标准研究分类（ANZSRC）社会经济目标（Socio-economic Objective, SEO）代码：960799 13. 关键词：粮食治理、创新、城市粮食系统、社会创新 14. 贡献者信息 A. 研究助理姓名：坦尼娅·莱姆巴赫（TANIA LEIMBACH），ORCID：0000-0002-8144-5065，电子邮箱：[e-mail] B. 研究助理姓名：坦贾·罗森奎斯特（TANJA ROSENQVIST），ORCID：0000-0003-3899-6694，电子邮箱：[e-mail] 15. 数据类型：定性数据、访谈转录文本、音频访谈素材 16. 数据格式：文本README文件、.mp3音频文件、.rtf转录文本 17. 所用软件：Microsoft 365 教育版16.57（2021）、Descript音频应用程序、Zoom会议应用程序、罗德（Rode）记者音频录制应用程序 18. 版本：版本1.0 首次发布 19. 使用条款：知识共享署名-非商业性使用许可（Creative Commons Attribution Non Commercial, CC BY-NC） 二、 共享与获取信息 1. 数据授权限制/使用条款：是 2. 引用或使用本数据集的出版物链接：https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649 3. 本数据集其他公开获取渠道链接：https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649 4. 附属数据集关联/关系：是。figshare链接中包含额外数据集。 5. 本数据集是否源自其他数据源？否 A. 若是，请列出数据源： 6. 本数据集推荐引用格式：基尔汉姆，萨里娜（2023）. 专访莉兹·米伦：绘制澳大利亚悉尼可持续粮食系统城市驱动型创新图谱 三、 方法学信息 1. 数据采集/生成方法说明：半结构化访谈。数据通过以澳大利亚英语开展的受访者访谈生成。访谈使用iPhone 8搭配罗德麦克风进行音频录制。 2. 知情同意：所有受访者均收到《受访者知情告知书》与《同意书》。研究人员明确询问受访者是否同意将其访谈内容纳入开放获取数据库，并获得了正式的知情同意。 3. 所有权与获取权限：R01-萨里娜·基尔汉姆。开放获取数据归档采用CC BY-NC许可协议。 4. 采集方式：音频录制半结构化访谈。访谈采用线下面谈或线上会议软件开展。 5. 抽样方法：通过向从业者社区公开招募的目的性抽样。 6. 数据处理方法：访谈被拆分为多个音频文件以避免启停录制导致的数据丢失。所有音频文件在Descript软件中合并为单个音频文件并导出。该单音频文件通过Descript软件中的人工智能工具完成转录，并由人工核验转录准确性。转录文本发送给受访者进行准确性校核，本数据集收录的版本已整合受访者提出的所有修正与调整内容。 7. 解读数据所需的特定工具/软件信息：所用软件：Descript，用于人工智能转录及合并多段音频文件为单文件。 8. 标准与校准信息（如适用）：无 9. 环境/实验条件：无 10. 数据质量保障流程说明：萨里娜·基尔汉姆将所有转录文本与原始音频进行比对核验准确性。转录文本发送给受访者进行校核。 11. 参与样本采集、处理、分析及/或提交的人员：R01-萨里娜·基尔汉姆 四、 数据与文件概览 1. 文件列表： 001-interviewaudio_p01_lizmillen_v01.mp3：访谈单音频文件 001-interviewtranscript_p01_lizmillen_v01.txt：访谈转录文本 Readme.txt：元数据、许可协议及文件信息 2. 文件间关联关系（如重要）：数据集文件可单独使用，亦可作为完整数据集集合使用。 3. 是否存在未纳入当前数据包的其他相关采集数据：否 4. 本数据集是否存在多个版本：否 五、 针对002-interviewtranscript_p02_lizmillen_v01.txt的数据集专属信息 1. 变量数量：无 2. 案例/行数：无 3. 变量列表：无 4. 缺失数据编码：无 5. 所用特殊格式或缩写：无 6. 文件类型：文本格式 7. 字数：8075字 六、 针对001-interviewaudio_p01_lizmillen_v01.mp3的数据集专属信息 1. 变量数量：无 2. 案例/行数：无 3. 变量列表：无 4. 缺失数据编码：无 5. 所用特殊格式或缩写：无 6. 时长：47分30秒 7. 音频声道：单声道 8. 采样率：44.1kHz 9. 文件类型：mp3音频 七、 引用主题 科学网（Web of Science）宏观层面引用主题：社会科学 科学网（Web of Science）中观分类标签： 6.86 人文地理学 6.153 气候变化 6.153 气候变化 6.153 气候变化 6.263 农业政策 6.263 农业政策 6.303 社会学 6.303 社会学 科学网（Web of Science）微观分类标签： 6.86.149 绅士化 6.153.558 气候变化适应 6.153.742 科学传播 6.153.2227 战略环境评估 6.263.898 农户 6.263.1407 都市农业 6.303.1915 公共社会学 6.303.2393 社会政策 ——结束——