Literature review of knowledge management across the environment-policy interface in China

https://doi.org/10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73

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This dataset is made available under the terms of the Open Government Licence

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Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus . Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication during the searched years for each country (top 20), in Scopus, the total amount of KM publication during the searched years for each country (top 20), information about the retained KM publication for environmental management in China.

The data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme.

Publication date: 2018-11-16

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View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area

Spatial representation type

Tabular (text)

Spatial reference system

WGS 84

Provenance & quality

A reverse search of the retrained articles was conducted to search the reference list of the retained studies, but none included any of the keywords in our criteria. Finally, the retrieved articles were read and analysed to determine which fields of environmental management had published on their KE practice in China by December 2017.

Licensing and constraints

This dataset is made available under the terms of the Open Government Licence

Cite this dataset as:

Zheng, Y.; Naylor, L.A.; Waldron, S.; Oliver, D.M. (2018). Literature review of knowledge management across the environment-policy interface in China. NERC Environmental Information Data Centre. https://doi.org/10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73

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