{"id":54,"date":"2024-02-27T02:34:41","date_gmt":"2024-02-26T17:34:41","guid":{"rendered":"https:\/\/nit-oawp.accloud.jp\/en\/?page_id=54"},"modified":"2026-03-18T15:20:56","modified_gmt":"2026-03-18T06:20:56","slug":"research-data","status":"publish","type":"page","link":"https:\/\/oa.web.nitech.ac.jp\/en\/research-data\/","title":{"rendered":"Research Data Utilization"},"content":{"rendered":"

What is Research Data?<\/h2>\r\n
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Research data refers to 1) information collected or generated during or as a result of research<\/span>, 2) materials used to verify hypotheses or provide evidence for conclusions<\/span>, and 3) records used to verify the accuracy of research results. Research data includes not only electronic data but also paper-based information and physical objects<\/span> (such as synthesized materials, archaeological artifacts, etc.). Research data comes in various formats, from text to 3D models, and includes diverse records such as research notes, photographs, and audio recordings.<\/p>\r\n<\/div>\r\n<\/div>\r\n

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Significance of Research Data Management and Publication<\/h2>\r\n

For researchers, managing research data offers the following benefits and significance:<\/p>\r\n

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  1. Proper management of research data allows verification that your research has been conducted correctly, which helps protect your research by enabling you to demonstrate its integrity. As commercial publishers begin to commercialize research data following the trend in academic journals, there is an increasing need to counter this trend. Maintaining control over your data both protects the data itself and safeguards your research activities.<\/li>\r\n\t
  2. Establishing basic rules for research data management and properly preserving, using, and sharing data at the individual researcher, laboratory, and research project levels leads to more efficient research.<\/li>\r\n\t
  3. Publishing research data and making it available to many users increases the value of the research itself.<\/li>\r\n<\/ol>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n
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    Important Considerations in Research Data Management, Retention, and Publication<\/h2>\r\n

    Creating a Data Management Plan<\/h3>\r\n

    Research funding agencies are increasingly requiring the submission of data management plans (DMPs) to ensure appropriate data management throughout and after research projects. For KAKENHI (Grants-in-Aid for Scientific Research), starting from fiscal year 2024, researchers are required to create DMPs for all research categories at the start of their research. (At present, submission of the DMP is not required.)<\/p>\r\n

    *Note: Some JST-funded research projects already require DMP submission.<\/p>\r\n

    Research Integrity<\/h3>\r\n

    Research data management, preservation, and publication are essential for addressing research misconduct and ensuring research soundness and transparency. Nagoya Institute of Technology has established several governance frameworks: our 2016 \u201cGuidelines for Proper Handling of Research Information and Data\u201d mandate a 10-year retention period for data supporting published papers. This was followed by \u201cGuidelines for Research Data Management\u201d detailing specific storage protocols. Moreover, on March 22, 2023, we introduced the \u201cNagoya Institute of Technology Academic Data Policy\u201d to define institutional principles for managing, publishing, and utilizing academic data.<\/p>\r\n

    Disclosure of Supporting Data<\/h3>\r\n

    Many academic journals now require research data to be stored and shared through trusted repositories as part of their data policies.<\/p>\r\n

    Making Research Data Open Access<\/h3>\r\n

    The global shift toward open science has intensified societal expectations for accessible research data. The 6th Science, Technology, and Innovation Basic Plan\u201d (Cabinet decision, March 26, 2021) aims to accelerate data-driven research and foster research activities involving diverse stakeholders, including citizens, through research data management and utilization based on open-and-closed strategies.*<\/span><\/p>\r\n

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    *What is an open-and-closed strategy?<\/p>\r\n

    In the context of research data, an \u201copen-and-closed strategy\u201d refers to a strategic approach that distinguishes between data that should be made public and data that should remain closed.<\/p>\r\n(Source) University ICT Promotion Council \u201cGuidelines for Developing Research Data Policies at Universities\u201d (July 1, 2021)<\/cite><\/blockquote>\r\n<\/div>\r\n

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    Nagoya Institute of Technology Academic Data Policy<\/h2>\r\n

    On March 22, 2023, we introduced the \u201cNagoya Institute of Technology Academic Data Policy\u201d to define institutional principles for managing, publishing, and utilizing academic data.<\/p>\r\n