Project Summary and Anticipated Outcomes and Goals
The Center for Social Data Structuring (CSDS), as part of its Data Lifecycle Management project, is working with experts on legal issues to develop an environment for the safe sharing and use of big and social survey data. We are also examining how data can be handled appropriately, considering an individual’s privacy. In addition, we aim to contribute to the academic community by providing educational and research programs that will address legal risks related to social research and data acquisition, processing, operation, and disclosure. To achieve this, we are organizing tutorials and providing information to researchers, universities, and other research institutions, thereby enabling researchers to use data in a legally appropriate way.
Project Background
The social big data related project, social survey project, and official microdata related projectdata related project conducted by the Center for Social Data Structuring (CSDS) handles various data. We expect that the various data handled by the Center will be widely utilized to solve various problems occurring in society and improve people’s lives. However, big data and social survey data may also contain personal data (data on the behavior and status of individuals) and privacy-related data. Although using these data is highly crucial, careful handling is required to protect privacy and personal information. Additionally, in recent years, there have been requirements for any academic research conducted with public funds worldwide to disclose not only the research papers (research results) in question but also the research data. Japan is also following this global trend of open data and open science and is striving to make research data publicly available for research funded by public funds such as Grants-in-Aid for Scientific Research. This will enable the return of research results to society, further promoting and enhancing the research. To achieve such open data and open science, a shift is needed from conventional forms of research data management, such as collection, processing, operation, and disposal, to a new data lifecycle that focuses on planning, generation, treatment, analysis, preservation, publication, and reuse (as well as other aspects of data publication, sharing, and joint use).
Source:uOttawa Initiative to Promote Data Lifecycle Management
As part of the recent global move to review social systems related to personal information and data protection, this project aims to examine ways to build a social survey process that considers data lifecycle management.
It also prepares the documents required for social surveys.
Tutorials will be conducted and information will be provided to researchers, universities, and other research institutions to support researchers in dealing with legal risks related to social research and data acquisition, processing, operation, and disclosure.
