The UNESCO Recommendation on Open Science

The UNESCO Recommendation on Open Science (https://www.unesco.org/en/legal-affairs/recommendation-open-science) was adopted by the General Conference of UNESCO(United Nations Educational, Scientific and Cultural Organization) at its 41st session, on 23 November 2021. The persistent identifier is taken as the essential part of the "Open science infrastructures" as well as the one of the "Investing in open science infrastructures and services". CSTR is the global identifier for common science and technology resources, it is the committed practitioner of the global open science, fostering the PID infrastructure for open science.

National standard

CSTR Identification Platform(https://www.cstr.cn/en)is initialed in 2016 based on the National Standard GB/T 32843—2016 "Science and technology resource identification", providing unique identification service for global scientific data, papers, scientific institutions, researchers, scientific instruments, patents and other scientific and technological resources. CSTR is also accepted as the international standard, such as IANA., etc.

Our mission

CSTR Identification Platform aims to promote establishing a global science and technology resource identification architecture, which is able to tracing the global influence, cross-disciplinary, cross-regional and cross-platform, to realize the rapid positioning and acquisition worldwide, and be used as the digital base for open science, contributed to the scientific research innovation.


It's simple to use CSTR identifier:

1. Registration Service

Through the registration of science and technology resource identifiers and metadata, the published scientific and technical resources are made more discoverable and accessible.

2. Resolution Service

Convenient enquiry and search services are provided by using scientific and technical resource identifiers, keywords and metadatas as inputs.

3. Associated Services

Linking papers to authors, papers to resources, and research processes and results data in a vast network of associations through scientific and technical resource identifiers.

4. Data Service

Provide data services of multi-dimensional statistical analysis such as total resources registrations, resolutions and queries.

Members

Scientific Data Center

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