This guide supports NUS researchers to:
You should carefully consider which components of your research data are suitable for long-term preservation. Here are some questions that you may need to answer:
You may also refer the following guides when you make decisions.
Researchers should resolve and clarify data ownership and intellectual property rights issues early in the research data lifecycle. If you are not sure if you have the rights to share your research data, please contact NUS Academic and Research Compliance and Integrity Office (ARCIO) for more information.
Researchers must ensure that ethical approval is secured prior to the commencement of any research and research data sharing if appropriate. Researchers should always refer to NUS Code and Procedures for Academic and Research Integrity for detailed guidelines.
Informed Consent for Data Sharing
For studies involving the use of human subjects, tissues, or personal data, in addition to the consent for participation in the research project, researchers should also inform the participants of how research data collected will be stored, preserved, shared and reused in the future as well as how confidentiality will be protected.
Do's and Don'ts
In order to ensure that research data can be made available or shared for future reuse, statements about data retention or data sharing in participant consent forms and IRB applications should:
Researchers should address disclosure risks before sharing sensitive and/or confidential research data.
1. Choosing a data archive for your data
If your project is funded by NUS, you are strongly encouraged to deposit a copy into the institutional repository, ScholarBank@NUS.
|Institutional data repository||
Non-institutional data repository
National, organizational, subject specific data repositories
2. Data Journals
You can also consider data journals as an option. Besides publishing in hardcopy journals, researchers nowadays have the option to publish their research output (including data) in Data journals. Being one of the emerging publishing channels, data journals not only serve as a platform to exhibit datasets publicly and internationally, but also enable the researchers to share their research data outputs with everyone around world more easily.
Some Data journals examples are listed below:
3. Assign a DOI to your dataset
Assigning a DOI (Digital Object Identifier) to data and including it in a data citation is considered best practice.
A DOI (Digital Object Identifier) is a unique persistent identifier for either digital or non-digital objects, whether or not they have any internet presence. Other than giving the data a persistent access, DOI names are supported by the International DOI Foundation (IDF) and Registration Agencies infrastructure, which provides ongoing DOI services and allows for a high level of confidence in the quality and accuracy of DOI names.
ScholarBank@NUS provides a DOI for datasets that are registered via Datacite, a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. You can read our guide to understand more about the benefits of assigning a DOI to your dataset and our DOI minting services.