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

<strong>GENERAL INFORMATION</strong> <br> 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 <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 Liz Millen: 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> <br> <strong>DATA &amp; FILE OVERVIEW</strong> <br> 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 -- <strong>DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_lizmillen_v01.txt</strong> <br> <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: Kind: text format 7: word count: 8,075 <br> <strong>DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_lizmillen_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: 47 minutes 30 seconds 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>

**基本信息**
1. 数据集名称：专访莉兹·米伦（Liz Millen）：澳大利亚悉尼可持续食品系统城市驱动创新图谱绘制
2. 受访者姓名：莉兹·米伦
3. 开放获取数据仓库同意：是
4. 作者信息
A. 首席研究员联系方式
姓名：萨里娜·琼·基尔汉姆（SARINA JOAN KILHAM）
ORCID：0000-0001-5234-2764
机构：澳大利亚查尔斯特大学（Charles Sturt University）瓦加瓦加分校
邮箱：[e-mail]
5. 数据收集日期：2022-2023年
6. 数据收集地理范围：澳大利亚悉尼
7. 数据收集资助来源信息：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. 人类研究伦理协议：查尔斯特大学人类研究伦理委员会批准编号：H21466
9. 描述/摘要：本研究项目将试点并改良一套名为URBAL（可持续食品系统城市驱动创新）的全景式图谱绘制方法，以调研悉尼地方政府区域（Local Government Area, LGA）内的城市食品系统可持续创新。研究结果将为政策制定者与社区主导组织（Community Led Organisations, CLOs）提供关于“哪些食品系统创新切实有效”及“其有效原因”的共识性认知。当地政府、非政府组织及食品类社区主导组织可利用该研究成果，为未来食品政策制定与可持续食品项目提供参考、支持与开发思路。本研究为跨学科研究，主要采用当代社会科学研究方法。
10. 研究主题：社会科学
11. 澳大利亚和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. 澳大利亚和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：食品治理、创新、城市食品系统、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
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
邮箱：[e-mail]
15. 数据类型：定性数据、访谈转录文本、音频访谈
16. 数据格式：文本README文件、.mp3音频文件、.rtf转录文件
17. 所用软件：Microsoft 365教育版16.57（2021）、Descript音频应用、Zoom会议应用、罗德记者（Rode Reporter）音频录制应用
18. 版本：版本1，首次发布
19. 使用条款：知识共享署名非商业性许可（Creative Commons Attribution Non Commercial CC BY-NC）

**共享/获取信息**
1. 数据所附许可/限制：是
2. 引用或使用本数据的出版物链接：https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
3. 本数据其他公开获取渠道链接：https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. 辅助数据集关联/关系：是，figshare链接中包含额外数据集
5. 本数据是否源自其他来源？否
A. 若是，请列出来源：
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：澳大利亚悉尼可持续食品系统城市驱动创新图谱绘制

**方法论信息**
1. 数据收集/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参与者访谈生成。访谈使用iPhone 8搭配罗德麦克风进行音频录制。
2. 知情同意：向每位受访者提供《参与者知情信息表》与《同意书》，明确询问其是否同意将访谈内容纳入开放获取数据库，并获得正式知情同意。
3. 所有权与获取权限：R01-萨里娜·基尔汉姆。开放获取数据存档采用知识共享署名非商业性许可（CC BY-NC）。
4. 收集方式：音频录制半结构化访谈，访谈可线下进行或通过在线会议软件开展。
5. 抽样方法：针对从业者社区开放邀请的目的性抽样。
6. 数据处理方法：访谈被分割为多个音频文件以避免启停录制导致的数据丢失，随后在Descript软件中合并为单音频文件并导出。通过Descript软件内的人工智能工具完成转录，并由人工核验准确性。转录文本发送给受访者进行准确性校核，本数据集包含所有受访者提出的修订与更正内容。
7. 解读数据所需的特定工具或软件信息：软件：Descript，用于人工智能转录及合并多音频文件为单文件。
8. 标准与校准信息：无
9. 环境/实验条件：无
10. 本数据所执行的质量保障程序说明：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，并将转录文本发送给受访者校核。
11. 参与样本收集、处理、分析和/或提交的人员：R01-萨里娜·基尔汉姆

**数据与文件概览**
1. 文件列表：
001-interviewaudio_p01_lizmillen_v01.mp3：单条访谈音频文件
001-interviewtranscript_p01_lizmillen_v01.txt：访谈转录文本
Readme.txt：元数据、许可及文件信息
2. 文件间关联关系（若有重要关联）：数据集文件可单独使用，或作为完整数据集集合使用。
3. 当前数据包未包含的其他相关采集数据：无
4. 本数据集是否存在多个版本？否

**针对002-interviewtranscript_p02_lizmillen_v01.txt的特定数据信息**
1. 变量数量：无
2. 案例/行数：无
3. 变量列表：无
4. 缺失数据代码：无
5. 使用的特殊格式或缩写：无
6. 格式：文本格式
7. 字数：8075字

**针对001-interviewaudio_p01_lizmillen_v01.mp3的特定数据信息**
1. 变量数量：无
2. 案例/行数：无
3. 变量列表：无
4. 缺失数据代码：无
5. 使用的特殊格式或缩写：无
6. 时长：47分30秒
7. 音频声道：单声道
8. 采样率：44.1kHz
9. 格式：mp3音频

**引用主题**
Web of Science宏观层面引用主题：社会科学
Web of Science中观标签：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
Web of Science微观标签：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