Word-to-word transcripts of the interviews/consultations on What do FNS-Cloud Food Researchers Want to Know?

Word to word transcripts of 11 semi-structured interviews carried out during the period April-October 2020 on 'What do FNS-Cloud Food Researchers Want to Know'. The notes were independently taken by the two interviewers during the interviews and combined to produce almost word-to-word transcripts of the interviews. Included in this Excel are also the questions addressed. The semi-guided interviews were undertaken to ensure the content validity of trainings for the FNS-Cloud community, and to reflect the training needs and preferences of FNS-Cloud project partners. Both interviewers (2 persons) and interviewed (15 persons) were food science professionals participating in the FNS-Cloud project (H2020 No. 863059). The Interviews, which lasted 30 minutes, aimed at identifying training needs and preferences related to open science and the use of the project datasets, tools and services: what partners want to learn, how they prefer to learn, and who are their ideal teachers. Inductive coding of the transcripts was done with the NVivo 12 Pro© software for qualitative analysis, following an iterative approach involving three researchers reviewing interview transcripts, codes, sub-codes, and coded phrases. The results of the qualitative analysis are presented in the paper: Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know? presented at the 8th International Conference on Higher Education Advances (HEAd’22), HEAd'22 | June 14-17, 2022 · Valencia, Spain (headconf.org) and published as a Peer-reviewed article in the: Proceedings of the 8th International Conference on Higher Education Advances (HEAd’22) (includes DOI and ISBN)

本数据集收录2020年4月至10月期间围绕主题"What do FNS-Cloud Food Researchers Want to Know"开展的11场半结构化访谈的逐字转录文本。访谈过程中由两名访谈员独立记录访谈笔记，后续合并整理为近乎逐字的访谈转录稿。本Excel文件中还包含本次访谈所使用的调研问题。本次半引导式访谈旨在验证FNS-Cloud社区培训的内容效度，并反映FNS-Cloud项目合作方的培训需求与偏好。所有访谈参与者（共15人）与两名访谈员均为参与FNS-Cloud项目（H2020 No. 863059）的食品科学专业人员。每场访谈时长为30分钟，旨在挖掘与开放科学、项目数据集、工具及服务使用相关的培训需求与偏好：包括合作方期望学习的内容、偏好的学习方式，以及理想的授课主体。研究团队采用NVivo 12 Pro©软件对转录稿进行归纳式编码，定性分析过程遵循迭代式研究框架，由三名研究人员共同审核访谈转录稿、编码类目、子类目及编码短语。本次定性分析的结果已发表于学术论文《Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know?》，该论文收录于2022年6月14日至17日于西班牙巴伦西亚举办的第8届高等教育进展国际会议（HEAd’22，headconf.org）的会议论文集，并经过同行评审，该会议论文集包含DOI与ISBN编号。