Terms and Conditions

Terms and Conditions of Submission


The Dataset Author (s) should agree the following principles and submit the requested information and dataset; the dataset and its metadata as well as the data paper will be published as soon as they are passed the peer review.


1. The data, metadata, data paper are original;


2. The data, metadata, data paper do not contain any  unlawful, scandalous, libelous, obscene,  or otherwise objectionable information;


3. The dataset author (s) agree to give the following licence to the Global Change Research Data Publishing & Repository:


publish the metadata in either or both printed format or digital format in any  media, including internet;

publish the dataset (s) in digital format in any media including internet;

coordinating with Journal (s) to publish the data paper in either or both printed format or digital format in any  media including internet;

host and transfer the deliver right and service right;

maintain online or mirror sites which include the medata, data paper and dataset (in part or as a whole)


4. The dataset author (s) agree not to grant any other DOI publisher the exclusive right to publish the dataset and data paper again.


Besides the special cases, this should be indicated specifically, all the metadata, data paper, dataset are published as open access data and information distributed under the terms of theCreative Commons Attribution License v.4, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Registration and Log in


If you did not regist yet, please go to the registration first, and following the guide after you agree the above terms and conditions of submission.

If you already regist, follow the guide after you agree the above terms and conditions of submission.


Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China


Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum