| Session | ||
Quality, Reuse, and Governance of Open Data (SIG-OIM)
| ||
| External Resource: | ||
| Presentations | ||
ID: 133
/ [Single Presentation of ID 133]: 1
Panels 90 minutes Confirmation 1: I/we agree if this paper/presentation is accepted, all authors/panelists listed as “presenters” will present during the Annual Meeting and will pay and register at least for the day of the presentation. Confirmation 2: I/we further agree presenting authors/panelists who have not registered on or before the early bird registration deadline will be removed from the conference program, and their paper will be removed from the Proceedings. Confirmation 3: I/we acknowledge that all session authors/presenters have read and agree to the ASIS&T Annual Meeting Policies found at https://www.asist.org/am21/submission-types-instructions/ Topics: Archives; Data Curation; and Preservation Keywords: Open data, Data quality, Data reuse, Data governance, Open government Quality, Reuse, and Governance of Open Data (SIG-OIM) 1Nankai University, People's Republic of China; 2Louisiana State University, USA In recent years, the amount of open data from governments and academic communities have increased rapidly. Open data are expected to promote the transparency and accountability of governments and academic communities, enable public participation, and facilitate digital innovation. However, open data are still facing problems such as unsatisfactory quality, insufficient data governance, increasing preservation cost and ineffective data reuse at present. This panel will invite experts in related fields to discuss the quality, reuse, and governance of open data, and propose feasible solutions from an international perspective. We will verify and promote the action plan in practice, and have more academic discussion with ASIS&T and relevant academic communities. | ||