Social media platforms generate personalized annual recaps presenting algorithmically-curated summaries of users’ online activities. Unlike traditional personal informatics where users actively collect data, these recaps present unsolicited insights demanding sensemaking effort. Through interviews with 20 participants and analysis of annual recaps, we investigated how users make sense of and reflect on these presentations. We identified seven data presentation types and five sensemaking activities facilitating different reflection levels. We found that concrete presentations like extreme details serve as foundational anchors across all levels, while more abstract presentations predominantly prompt critical reflection. Sensemaking activities lead to reflection through four paths: descriptive reflection involves scanning and annotation, dialogic reflection requires explanation-seeking activities, transformative reflection involves comprehensive sensemaking processes with emphasis on verification, while critical reflection can emerge from any path. We contribute theoretical bridges between sensemaking and reflection in personal informatics and provide design implications to support sensemaking and reflection on personal data.

In this study, we conducted semi-structured interviews with 21 IIR researchers to investigate their data reuse practices. This study aims to expand upon current findings by exploring IIR researchers’ information obtaining behaviors regarding data reuse. We identified the information about shared data characteristics that IIR researchers needed when evaluating data reusability, as well as the sources they typically consulted to obtain this information. We consider this work to be an initial step towards revealing IIR researchers’ data reuse practices and find out what the community need to do to promote data reuse. We hope that this study, as well as future research, will inspire more individuals to contribute to the ongoing efforts aimed at designing the standards, infrastructures, and policies, as well as fostering a sustainable culture for data sharing and reuse in this field.

Abstract Reusing research data can effectively reduce efforts in data collection and enhance the replicability of evaluation experiments, especially for small laboratories and research teams studying human‐centered systems. Building a sustainable data reuse process and culture relies on frameworks that encompass policies, standards, roles, and responsibilities, all of which must address the diverse needs of data providers, curators, and reusers. This study investigated data reuse practices of experienced researchers in Interactive Information Retrieval (IIR), a field where data reuse has been strongly advocated but still remains a challenge. We conducted 21 semi‐structured in‐depth interviews with IIR researchers from varying demographic backgrounds, institutions, and career stages about their motivations, experiences, and concerns regarding data reuse. We uncovered the rationales, criteria, and strategies they used in reusability assessments, as well as the challenges they faced when attempting to reuse research data in their studies. These empirical findings enrich ongoing discussions about the reusability of user‐generated data and research resources and help promote community‐level data reuse culture and standards in both traditional and emerging IIR research fields.

Abstract Chinese ancient book catalogs are important cultural heritage and academic resources for the study of ancient Chinese history and culture. These catalogs need to be curated so that their value can be fully exploited in today's digital environment. This study is based on a collaborative curation project where eight representative ancient catalogs were curated into a diachronic dataset and tools to discover and analyze the data were developed. We reviewed literature and consulted humanities scholars to derive the characteristics and curation requirements of the ancient catalogs. A collaborative model was proposed based on the requirements to guide the curation process. This model reveals the duality of humanities scholars' role in collaborative curation and depicts main curation activities including metadata and description, appraisal and selection, data processing, developing tools, access and use, and evolution. Lessons learned from the curation practice include two main issues—project personnel and humanities scholars' acceptance of visualization. The study also yields a dataset and a set of tools that can be directly used by scholars interested in knowledge organization and ancient catalog related topics.

This paper examines design workshops as research practice: how workshops bind time and participation in ways that privilege certain types of action and foreclose others. In five workshops we facilitated, we asked members to design a new item from two existing items in need of repair and studied their acts of appropriation and reuse. Although we hoped to explore possibilities for collaborative practice, we more clearly saw what happens when garments with rich histories meet the blunt instrument of workshop interventions. Members aligned anticipated outcomes in opposition to our guidelines and abandoned projects due to personal obligations. In reflecting on these encounters we further show how workshops shape what it means to study collaborative settings. This work contributes a reflective study of workshops that gathers and extends CSCW methods for interventionist inquiry.