Interview Cristiana Nascimento: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia

GENERAL INFORMATION 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: [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 Cristiana Nascimento: 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_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 -- DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_cristiananascimento_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: 8,600 DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_cristiananascimento_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: 53 minutes 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、基本信息
1. 数据集标题：专访克里斯蒂亚娜·纳西门托：绘制澳大利亚悉尼可持续粮食系统的城市驱动创新图谱
2. 受访者姓名：克里斯蒂亚娜·纳西门托（Cristiana Nascimento）
3. 开放获取数据仓储知情同意：是
4. 作者信息
A. 首席研究员联系方式
姓名：萨里娜·琼·基尔哈姆（SARINA JOAN KILHAM）
ORCID：0000-0001-5234-2764
所属机构：澳大利亚查尔斯特大学（CHARLES STURT UNIVERSITY）瓦加瓦加分校
联系地址：无
电子邮箱：[e-mail]
5. 数据收集日期：2022年—2023年
6. 数据收集地理位置：澳大利亚悉尼
7. 数据资助方信息：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：已获查尔斯特大学人类研究伦理委员会批准，协议编号：H21466
9. 研究摘要：本研究项目将试点并适配一套名为URBAL（可持续粮食系统的城市驱动创新，Urban-Driven Innovations for Sustainable Food Systems）的整体性图谱绘制方法，用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实践。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”以及“其生效逻辑”的共识性认知。相关结果将被地方政府、非政府组织及以粮食为核心的社区主导组织用于制定、支持并优化未来的粮食政策与可持续粮食项目。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. 澳新标准研究分类（Australian and New Zealand Standard Research Classification, ANZSRC）研究领域代码：160804
12. 澳新标准研究分类（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：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：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、音频访谈资料
16. 数据格式：文本README文件、.mp3音频文件、.rtf格式转录文本
17. 所用软件：Microsoft Office 365教育版16.57（2021）、Descript音频应用、Zoom会议软件、罗德采访者（Rode Reporter）音频录制应用
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、共享与访问信息
1. 数据使用许可与限制：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. 本数据集其他公开访问渠道：https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. 附属数据集关联：是。额外数据集可通过上述figshare链接获取。
5. 本数据是否源自其他来源？否
A. 若为“是”，请列出来源：无
6. 本数据集推荐引用格式：基尔哈姆，萨里娜（2023）。专访克里斯蒂亚娜·纳西门托：绘制澳大利亚悉尼可持续粮食系统的城市驱动创新图谱。

三、方法学信息
1. 数据收集与生成方法说明：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。访谈使用搭载罗德麦克风的iPhone 8进行音频录制。
2. 知情同意流程：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资料纳入开放获取数据库，并获得了正式的知情同意。
3. 所有权与访问权限：R01-萨里娜·基尔哈姆。开放获取数据存档——知识共享署名-非商业性使用许可（CC BY-NC）
4. 数据收集方式：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：通过向从业者社区公开邀请的方式进行目的抽样。
6. 数据处理流程：为防止数据丢失，访谈分多次录制音频文件后合并。使用“Descript”软件合并所有音频文件并导出为单一口袋音频文件。通过该软件内置的人工智能工具完成转录，并由人工核查转录准确性。转录文本将发送给受访者进行准确性复核，本数据集收录的版本已整合受访者提出的所有修改与更正。
7. 数据解读所需特定工具与软件：软件：Descript，用于人工智能转录及合并多音频文件为单一口袋音频文件。
8. 标准与校准信息（如适用）：无
9. 环境/实验条件：无
10. 质量保障程序说明：萨里娜·基尔哈姆将所有转录文本与原始音频进行比对以核查准确性。转录文本已发送给受访者复核。
11. 参与样本收集、处理、分析及提交的人员：R01-萨里娜·基尔哈姆（SARINA KILHAM）

四、数据与文件概览
1. 文件清单：
- 001-interviewaudio_p01_cristiananascimento_v01.mp3：单一口袋音频访谈文件
- 001-interviewtranscript_p01_cristiananascimento_v01.txt：访谈转录文本文件
- Readme.txt：元数据、许可协议及文件信息说明
2. 文件间关联（如重要）：数据集文件可单独使用，也可作为整体数据集使用。
3. 本数据包未收录的其他相关采集数据：无
4. 本数据集是否存在多个版本？否

五、特定文件数据说明：002-interviewtranscript_p02_cristiananascimento_v01.txt
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：8600

六、特定文件数据说明：001-interviewaudio_p01_cristiananascimento_v01.mp3
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：53分钟
7. 音频声道：单声道
8. 采样率：44.1kHz
9. 文件类型：.mp3音频文件

七、引用主题
Web of Science 宏观层面引用主题：社会科学
Web of Science 中观分类标签：6.86 人文地理学；6.153 气候变化；6.263 农业政策；6.303 社会学
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