Identification

Title

Stakeholder surveys to local farmers and officials in Chinese villages to understand knowledge management dynamics

Abstract

Data comprise results of social surveys carried out in China during 2016 – 2018 to the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province and in Yujiang County, Jiangxi Province. The study was funded by the grant NE/N007425/1 which was awarded by the UK Natural Environment Research Council (NERC), and through cooperation with grant 41571130074 awarded by the National Natural Science Foundation (NSFC) of China, as part of the UK – China Critical Zone Observatory (CZO). Full details about this dataset can be found at https://doi.org/10.5285/9c14948d-cf58-4194-9fef-c2cb56818667

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/9c14948d-cf58-4194-9fef-c2cb56818667

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/9c14948d-cf58-4194-9fef-c2cb56818667.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/9c14948d-cf58-4194-9fef-c2cb56818667

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Geographic location

West bounding longitude

98.59

East bounding longitude

114.676

North bounding latitude

32.08

South bounding latitude

22.452

Temporal reference

Temporal extent

Begin position

2016-01-01

End position

2018-12-31

Dataset reference date

date type

publication

effective date

2019-11-26

Frequency of update

Quality and validity

Lineage

The surveys were conducted to local stakeholders from four levels of governance (county leaders, town leaders, village leaders and individual farmers). The surveyed towns and villages were identified by Chinese research team as locations within or surrounding the studied catchments in the wider CZO program. Questionnaires were used as one of the key methods to fulfil the survey aims. Both closed and open-ended questions were designed for all groups. The number of questionnaires completed in each village was dependent on its population. Information of each survey is detailed in the Supporting Information. Different landscapes and a number of villages were surveyed to improve the rigorous of the searching results. Verbal consent was obtained prior to commencing all interviews. To meet the requirements of the Environmental Information Data Centre the result document was anonymised and converted into Rich Text Format (rtf).

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Zheng, Y., Naylor, L., Waldron, S., Oliver, D. (2019). Stakeholder surveys to local farmers and officials in Chinese villages to understand knowledge management dynamics. NERC Environmental Information Data Centre https://doi.org/10.5285/9c14948d-cf58-4194-9fef-c2cb56818667

Responsible organisations

Responsible party

organisation name

email address

ying.zheng@glasgow.ac.uk

web address

https://orcid.org/0000-0002-7913-8234

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information