Suchergebnisse

Examination of Data Deposit Practices in Repositories with the OAIS Model

This paper introduces a community science project, Citizen Data Harvest in Motion Everywhere (CHIME), and the findings from our pilot study, which investigated potential concerns regarding data curation. The CHIME project aims to build a cyclist community–driven data archive that citizens, community scientists, and governments can use and reuse. While citizens' involvement in the project enables data collection on a massive, unprecedented scale, the citizen-generated data (cyclists' video data recorded with wearable cameras in the CHIME context) also presents several concerns regarding curation due to the grassroots nature of the data. Learning from our examination of cyclists' video data and interviews with them, we will discuss the curation concerns and challenges we identified in our pilot study and introduce our approach to addressing these issues. Our study will provide insights into data curation concerns, to which other citizen science projects can refer. As a next step, we are in the process of developing a data curation model that will consider other factors related to this community science project and can be implemented in future community science projects.

Data have significant potential to address current societal problems not only at the federal and state levels, but also in smaller communities, in neighborhoods, and in the lives of individuals. While the proposition for this potential is that data are and will be shared with and reused by and for communities at different levels, not all data are not systematically or routinely shared for reuse with communities due to social, structural and technical infrastructure barriers. Data intermediary organizations can play a significant role in removing existing barriers while unlocking the potential of data for all, particularly for communities with limited human or financial resources, limited access to existing data infrastructures, and underserved populations. Considering the significance of the data intermediary organizations on local communities, this study aims to explore the role of intermediaries that usually facilitate community members/organizations' data utilization. The findings of this study reveal that data intermediary organizations play four major roles that are crucial in communities' data utilization: (1) democratizing data, (2) adding value to existing data, (3) enhancing communities' data literacy, and (4) building communities' data capacity. This study has several important implications to offer a solution to overcome the challenges of data reuse at the local level. ; Institute for Museum and Library Services

This paper introduces a community science project, Citizen Data Harvest in Motion Everywhere (CHIME), and the findings from our pilot study, which investigated potential concerns regarding data curation. The CHIME project aims to build a cyclist community–driven data archive that citizens, community scientists, and governments can use and reuse. While citizens' involvement in the project enables data collection on a massive, unprecedented scale, the citizen-generated data (cyclists' video data recorded with wearable cameras in the CHIME context) also presents several concerns regarding curation due to the grassroots nature of the data. Learning from our examination of cyclists' video data and interviews with them, we will discuss the curation concerns and challenges we identified in our pilot study and introduce our approach to addressing these issues. Our study will provide insights into data curation concerns, to which other citizen science projects can refer. As a next step, we are in the process of developing a data curation model that will consider other factors related to this community science project and can be implemented in future community science projects.