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DataHub: Home

DataHub

The University of Hong Kong Libraries is providing a comprehensive repository for research data and other forms of scholarly outputs now. DataHub powered by Figshare is the cloud platform for storing, citing, sharing, and discovering research data and all scholarly outputs. It collects, preserves, and provides stable, long-term global open access to a wide range of research data and scholarly outputs created by HKU researchers and RPG students in the course of their research and teaching.

FAIR Data Principle

FAIR stands for Findable, Accessible, Interoperable, and Reusable. Data that meet these principles are more optimal for reuse and discoverability and in turn increase your research’s exposure. DataHub is fully supported by the FAIR data principle will give the credit for all your research outputs. Data that is uploaded to DataHub is marked for indexing in Google Scholar and Google Dataset Search. This helps improve the exposure of your research. We will track usage statistics, including views, downloads, citations, and Altmetrics.

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References:
https://www.go-fair.org/fair-principles/

Journals and Funders Data Sharing Policies

There are lots of journal data sharing policies that require the datasets which are necessary to replicate their study’s findings, must be made available to editors and referees at the time of submission, and must be shared with the scientific community as a condition of publication. Some research funders, such as the Research Councils UK, require data availability statements to be included in publications.

Scientific Data Journal Data Policies: https://www.nature.com/sdata/policies/data-policies

Plos One Data Availability:  https://journals.plos.org/plosone/s/data-availability

DataHub supports the data openly available that issues datasets with DOIs, it provides the confidential peer-review functions and fulfills the FAIR data principle after the dataset published. Please feel free to contact us if you have any questions about the journal data policies.

How Can I Use DataHub

Sharing and Collaborative

  • Share and collaborate with others on your research data (past or present) so that they can use your research in their work and you can grow your research profile. A unique citable identifier in the form of a Digital Object Identifier (DOI) will be assigned to your published data or collections.

Secure

  • Secure and control your valuable research data with safe and secure storage. Control access to your work: make your data private, shareable with selected individuals or groups, or make it fully public with the ability to change access at any time.

Confidential

  • Have the option of creating the record metadata only and making the files confidential.

Portfolio building

  • Grow your research profile by building a portfolio of work that can be used as supportive evidence when applying for grants, funding, and jobs.

Discoverable

  • Showcase and share your portfolio of research using unique, citable DOIs, meaning your research is discoverable by the wider community. You can also add your ORCID to your DataHub account.

Accessible

  • Access anywhere, any time and upload and cite data in any file format.

Embargo period setting

  • Set embargoes so that you can hold off publishing your research data until your research is published.

Open source compliance

  • Meet publisher and funder open source compliance requirements by making your research data publicly available. Open research data will extend the benefits as the data can be combined with other data, re-analyzed and/or used for different purposes.

Depositor's Agreement

Before depositing your dataset in the HKU DataHub, you have to accept the terms and conditions stated in the Depositor's Agreement.

Data and Scholarly Communication Librarian

Jesse Xiao's picture
Jesse Xiao
Contact:
5/F Main Library, The University of Hong Kong
(852) 2241 5841

Free Private Storage @DataHub

Each HKU academic staff, researcher, and RPg student could enjoy 100GB* private storage on DataHub

*request for extra storage available subject to individual research needs

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   WhatsApp: 5441-5441