Data

Community enterprises development with connected infrastructure systems in rural Australia and China dataset

Adelaide University
Ness, David ; Zhu, Ying ; Xing, Ke
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25954/krdc-zh70&rft.title=Community enterprises development with connected infrastructure systems in rural Australia and China dataset&rft.identifier=10.25954/krdc-zh70&rft.publisher=University of South Australia&rft.description=This dataset comprises multiple forms of data, including project reports, interview records, photos, slides of workshop presentations, and drafts of working papers and book chapters. Based on the material collected, we plan to develop show cases and models for other communities in China and elsewhere to follow. We have also developed a wide range of networks with key stakeholders, including important decision makers in this regards and this would also be useful for future research projects along similar lines.&rft.creator=Ness, David &rft.creator=Zhu, Ying &rft.creator=Xing, Ke &rft.edition=2&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Business information management (incl. records, knowledge and intelligence)&rft_subject=Ecological applications not elsewhere classified&rft_subject=Environment&rft_subject=Financial mechanisms&rft_subject=Infrastructure&rft_subject=Rural community development&rft_subject=Social entrepreneurship&rft_subject=Telecommunications&rft.type=dataset&rft.language=English Access the data

Full description

This dataset comprises multiple forms of data, including project reports, interview records, photos, slides of workshop presentations, and drafts of working papers and book chapters. Based on the material collected, we plan to develop show cases and models for other communities in China and elsewhere to follow. We have also developed a wide range of networks with key stakeholders, including important decision makers in this regards and this would also be useful for future research projects along similar lines.

This dataset is part of a larger collection

ACN 633 798 857