News Release

The preliminary version of integrated search system for a wide range of research resources including research data has been released

 "CiNii Research Pre-version (link:" has been released as the pre-release version of an integrated platform that allows you to search for research resources in a wide range of fields (Figure1). It has been developed by the Research Center for Open Science and Data Platform (RCOS, Center Director: YAMAJI Kazutsuna, Professor, NII Digital Content and Media Sciences Research Division) of the National Institute of Informatics (NII, Director General: KITSUREGAWA Masaru, Tokyo, Japan). The service offers cross-sectional search for "research resources" such as research data published by universities and research institutes on their institutional repositories, data on academic papers, bibliographic information, and information on research projects. It employs informatics methods and integrates internal data using identifiers such as DOIs, creating an environment where users can quickly and seamlessly access various resources.

CiNii Research Pre-Version
Scheduled to be released at 10:00 on Friday, 6 November 2020, JST


Figure1: You can conduct cross-search for a variety of research data and project information, papers and bibliographic information, and access to relevant resources quickly on this service

 The "pre-version" released in advance realized "easy access" that allows users to intuitively access to more than 20 million research resources(*1), its main content, from a simple interface (Figure2). In this service, related research resources are linked together using the unit of search data "entity"(*2), making it possible to perform "deep search" that collects research data one after another. The system also searches for research data, which is increasingly made open and utilized in recent years, regardless of the field; therefore, it is expected that it will contribute to the field of data-driven science and interdisciplinary research. We aim to provide a service that can be used by many people, including researchers searching for information on research, librarians handling bibliography and academic information, and persons in charge of institutions conducting academic research.

 This service is still under development for production release; thus, it is a preliminary release to test the operations for actual operation. We are planning to add more functions and data and upgrade internal data, and then release it into production after next year.


Figure2: Search Results on CiNii Research

Comment from YAMAJI Kazutsuna, Center Director of Research Center for Open Science and Data Platform, the National Institute of Informatics (NII):

"This discovery platform plays one of the essential components in the NII Research Data Cloud (NII RDC)(*3). Similar to the progress of open science, the research environment also has to be evolved continuously. Our big challenge is to realize the short cycle of development (Dev) and operations (Ops) to mature the NII RDC. From this perspective, the CiNii Research pre-release means that it just stands at the start line to realize our concept. It is our great pleasure to reflect on your experience and voice for our future development. Let's think together with us about what is your deep search."

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The preliminary version of integrated search system for a wide range of research resources including research data has been released

  • (*1) It contains more than 10 million bibliographic information, more than 9 million academic papers, project information, and research data.
  • (*2) entity: An entity is one of the elements constituting a database or data. It indicates each concept that is linked via relationship. In a typical database, data are displayed as a unit of "entry" that does not have a relationship link; in CiNii Research, however, data are decomposed and recomposed in a unique way to create entities.
  • (*3)NII RDC (NII Research Data Cloud): The NII RDC is a data infrastructure provided by the NII for managing, publishing and searching research data and related materials generated in the process of academic research activities. It consists of independent components: management platform (GakuNin RDM), publishing platform (WEKO3), and search platform (CiNii Research).