Transcripts of co-creation sessions with design agencies. Underlying data for the article: Safe and sustainable by design: co-creating a design method for dealing with harmful substances in product design

This dataset corresponds to the research aim: <em> To co-create a Design for Substance Safety (DSS) method with and for design professionals. The DSS Method allows product designers to mitigate the risks generated by hazardous substances throughout the lifecycle of products. </em>Through the sessions, we identified procedural and functional requirements, contextual factors influencing the method's successful application, and actionable insights to produce and refine the new method framework. The resulting DSS Method provides a systematic, lifecycle-oriented approach for addressing SoC across various design scenarios.We conducted two co-creation sessions with three groups of professional designers (six sessions in total) during the months of November and December 2023. Each of the three groups consisted of 2-3 professional designers (total of 6-8 people). The participants were experienced designers (&gt;3 years) working at design agencies in the Netherlands. Experience with circular economy or sustainability was not a requirement. All participants signed an informed consent form, and the co-creation sessions were conducted following the protocols of human research ethics from Delft University of Technology. We followed well-established procedures for defining and conducting the co-creation sessions.The data was analysed as follows:1. We used a deductive approach to analyse the transcripts applying the pre-defined codes to quotes from the participants. This resulted in a collection of quotes for each of the codes. For this coding exercise we used the Atlas.ti software.2. After the codes were applied, we did a second coding exercise to identify sub-codes in each code cluster. This resulted in sets of sub-coded quotes, per code cluster. This exercise was also done using the Atlas.ti software. All coding exercises were performed separately by two researchers to later compare and validate results.3. Finally, we synthesized the quotes under each sub-code by analyzing and grouping them based on similarities. These were subsequently reinterpreted into recommendations and requests from the participants. Using these insights, we reformulated the sets of quotes into requirements for the development of the new version of the method.

本数据集对应研究目标：**与设计专业人士共创物质安全设计（Design for Substance Safety, DSS）方法并服务于该群体**。该DSS方法可帮助产品设计师在产品全生命周期内管控有害物质所引发的风险。
经本次共创研讨活动，我们明确了该方法的流程规范与功能需求、影响其成功落地的情境因素，以及可用于构建并优化全新方法框架的实操性洞见。最终形成的DSS方法，可为各类设计场景下的关注性有害物质（Substance of Concern, SoC）管控提供系统化、全生命周期导向的解决方案。
我们于2023年11月至12月期间，开展了两轮共创研讨活动，每轮活动下设3个设计师小组，总计完成6场次研讨。每个小组由2至3名专业设计师组成，本次活动总参与人数为6至8人。参与人员均为任职于荷兰设计机构的资深设计师，从业年限不少于3年，无需具备循环经济或可持续设计相关领域的经验。所有参与者均签署了知情同意书，本次共创研讨活动严格遵循代尔夫特理工大学制定的人类研究伦理规范开展。我们采用行业成熟的标准化流程来策划并实施本次共创研讨活动。
本次数据集的分析流程如下：
1. 采用演绎分析法对研讨转录文本进行编码：将预先设定的编码规则应用于参与者的发言摘录，最终为每个编码类别整理出对应的发言摘录集合。本次编码工作借助Atlas.ti软件完成。
2. 完成首轮编码后，我们开展了第二轮编码工作，以在每个编码簇中识别子编码，最终为每个编码簇生成带有子编码的发言摘录集合。该步骤同样通过Atlas.ti软件完成。所有编码工作均由两名研究人员独立开展，后续将通过比对结果完成研究效度验证。
3. 最后，我们对每个子编码下的发言摘录进行归纳整合：基于内容相似度对其进行分组归类，随后将其重新解读为参与者提出的建议与诉求。基于上述实践洞见，我们将发言摘录集合重新提炼为该方法新版本开发所需的各项需求。