About Goh Su Nee

Su Nee is a Research Data Management librarian. She did her undergraduate degree in Arts and Social Sciences and has a Masters in Information Studies. She enjoys gardening and making friends.

NTU Research Data Policy

More than 200 NTU researchers and staff attended the NTU Research Data Policy launch briefing on 14 Apr 2016. This is a significant milestone for the University as part of its efforts towards research integrity. Professor Timothy White, Research Director, who is also from the Research Integrity Office, spoke on the importance of research data management and data sharing and roles of principal investigators (PIs) as well as various other university departments.


Mr Choy Fatt Cheong, University Librarian presented the NTU Data Management Plan (DMP) template. It comprises 10 questions and question level guides and sample responses. NTU researchers were encouraged to attend the upcoming DMP Writing Workshops. For more details on the workshops, click here.Data_Policy_launch_20160414_UL

Ministry of Health (MOH) Singapore Requires Researchers to Share Data

The global trend in increasing emphasis on managing and sharing research data is beginning to creep onto the shores of Singapore. With effect from 1 May 2015, all new MOH funded research projects would be required to make available peer-reviewed publications open access. Grant applications requesting at least S$250,000 must include a Data Sharing Plan from end 2015 (probably November) onwards.

The Data Sharing Plan is a document that outlines what and how research data will be made available for access after project. The Data Sharing Plan template is likely to be released closer to the grant call in November 2015.

For more details, you may like to take a look at the Research Data and Governance briefing slides presented by MOH NMRC (National Medical Research Council) during their March 2015 research data sharing roadshows.

If you’re a NTU researcher who is interested to talk to a Data Librarian about how to make your research data more discoverable and how to fulfil MOH’s data sharing requirement, please contact us at scholarlycomm@ntu.edu.sg .

Journal Requirements for Data Availability

More and more journals are having data-sharing mandates for their published articles. An example of such a development can be observed in PLOS’s new data availability policy:

“PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception.

When submitting a manuscript online, authors must provide a Data Availability Statement describing compliance with PLOS’s policy. If the article is accepted for publication, the data availability statement will be published as part of the final article.

Refusal to share data and related metadata and methods in accordance with this policy will be grounds for rejection.”

In addition, some BioMed Central journals now encourage or require authors, as a condition of publication, to include in some article types a section called ‘Availability of supporting data’ that provides a permanent link to the data supporting the results reported in the article. The aim is to provide links in a consistent place within an article to supporting data – regardless of the location or format of the data – and to make it clear to readers when they can also access the data as well as the article.

Nature has also stated that “authors are required to make materials, data and associated protocols promptly available to others without undue qualifications”.

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Help Prepare NTU for Data Management and Sharing

In Singapore, data sharing and open data may be new or unheard of to many people. However, related requirements are getting more common in US, UK and Australia and may hit us in a matter of time. In fact, open access mandates on publications from NTU and A*STAR did eventually arrive a few years after similar requirements in other countries. According to the December 2013 release of the EU Framework Programme for Research and Innovation Horizon 2020: Guidelines on Data Management, it says that,

“A further new element in Horizon 2020 is the use of Data Management Plans (DMPs) detailing what data the project will generate, whether and how it will be exploited or made accessible for verification and re-use, and how it will be curated and preserved. The use of a Data Management Plan is required for projects participating in the Open Research Data Pilot. Other projects are invited to submit a Data Management Plan if relevant for their planned research.”

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