{"_buckets": {"deposit": "815a738e-7e46-4c75-98a3-7b43f292cafd"}, "_deposit": {"id": "34", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "34"}, "status": "published"}, "_oai": {"id": "oai:jpcoar.repo.nii.ac.jp:00000034"}, "item_10010_biblio_info_7": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2017-06-06", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{}]}]}, "item_10010_description_25": {"attribute_name": "\u6284\u9332(\u82f1)", "attribute_value_mlt": [{"subitem_description": "This training tool is mainly aimed at those who support researchers at universities or research institutions, such as librarians, technology support professionals, and URA and so on. It has two main purposes: 1) to provide the learner with basic knowledge on research data management (RDM), 2) to make the learner get a foothold in developing research data management service at its own institution. Syllabus is as follows:", "subitem_description_type": "Other"}, {"subitem_description": "Chapter 1: Introduction\nThe learner will be able to understand the background of the increasing importance of research data management, and the definition of research data and research data management.", "subitem_description_type": "Other"}, {"subitem_description": "Chapter 2: Data Management Plan (DMP)\nTo develop and implement a data management plan (DMP) is essential to efficient and effective research data management. The learner will be able to understand trends of DMP mandate and requirements for DMPs.", "subitem_description_type": "Other"}, {"subitem_description": "Chapter 3: Preservation and Data Sharing\nThe learner will be able to understand points of concern regarding storage during the research period and long-term preservation of research data. In addition, the learner will be able to understand the sharing of research data in terms of its significance, relevant considerations and sharing methods.", "subitem_description_type": "Other"}, {"subitem_description": "Chapter 4: File Management, Documentation, Metadata, Citation\nThe learner will be able to understand how to organize data based on certain rules, how to document data, and how to describe its metadata. These are indispensable for long-term management and utilization of research data.", "subitem_description_type": "Other"}, {"subitem_description": "Chapter 5: Law and Ethics\nThe learner will be able to understand the legal issues, especially copyright on research data and the mechanism of licensing. In addition, the learner will be able to understand points of concern in dealing with sensitive data and research ethics.", "subitem_description_type": "Other"}, {"subitem_description": "Chapter 6: Policies\nNational governments, funders, research institutions and other stakeholders are increasingly developing policies which require data archiving and sharing. The learner will be able to understand these movements and the requirements for developing institutional RDM policy.", "subitem_description_type": "Other"}, {"subitem_description": "Chapter 7: Design of Research Data Services\nThe learner will be able to understand how to develop the research data management service at its own institution.", "subitem_description_type": "Other"}]}, "item_10010_description_5": {"attribute_name": "\u6284\u9332(\u65e5)", "attribute_value_mlt": [{"subitem_description": "\u672c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c4\u30fc\u30eb\u306f\u3001\u4e3b\u306b\u5927\u5b66\u3084\u7814\u7a76\u6a5f\u95a2\u7b49\u306e\u7814\u7a76\u652f\u63f4\u8077\u306e\u65b9\uff08\u56f3\u66f8\u9928\u54e1\u3084\u60c5\u5831\u6280\u8853\u8077\u54e1\u3001URA\u306a\u3069\uff09\u306b\u5411\u3051\u3066\u4f5c\u6210\u3055\u308c\u305f\u3082\u306e\u3067\u30011) 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