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)

本数据集包含2020年4月至10月期间开展的11场半结构化访谈的逐字转录稿，访谈主题为《FNS-Cloud食品领域研究者的调研需求》。访谈期间由两名访谈员独立记录访谈笔记，后经合并整理形成近乎逐字的访谈转录内容。本Excel文件中还包含访谈所使用的提问提纲。本次半引导式访谈旨在验证FNS-Cloud社区培训内容的效度，并反映FNS-Cloud项目合作方的培训需求与偏好。所有访谈员（共2名）与受访者（共15名）均为参与FNS-Cloud项目（H2020项目编号：863059）的食品科学领域专业人员。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：包括合作方希望学习的内容、偏好的学习方式，以及理想的授课主体。研究采用归纳编码法对转录稿进行质性分析：使用NVivo 12 Pro©软件开展编码工作，并遵循迭代式研究流程，由三名研究人员共同审核访谈转录稿、编码、子编码及编码短语。本次质性分析的相关成果已发表于论文《开放科学教学：FNS-Cloud食品领域研究者的调研需求》，该论文曾在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）上展示，并以同行评议论文形式收录于《第8届高等教育进展国际会议论文集》（包含数字对象唯一标识符DOI与国际标准书号ISBN）