DR-NTU (Data) is here!

We are happy to announce that DR-NTU (Data), NTU’s institutional open access data repository is now ready for all NTU researchers to deposit their research data!

Who can use DR-NTU (Data)?

DR-NTU (Data) is currently accepting research data from NTU researchers only.

What kind of research data should NTU researchers deposit in DR-NTU (Data)?

NTU researchers should deposit their final research datasets of their projects in DR-NTU (Data). Final research datasets consists of final versions of the data files that are produced after all analysis and manipulations.

What types of file format are accepted by DR-NTU (Data)?

DR-NTU (Data) can accept any file format.

Is there any file size limit?

Up to 3.5 GB for each single file upload via LAN connection to NTU network (subject to network conditions). There is currently no limit per dataset or per dataverse. Contact research data librarians to upload files bigger than 3.5 GB.

Do NTU researchers have to pay to use DR-NTU (Data)?

No, it is absolutely free for all NTU researchers!

How to upload datasets to DR-NTU (Data)?

Method 1: Do-It-Yourself

You can upload your research datasets directly to DR-NTU after creating an account using your NTU login. For more information, you can refer to the user guides for step-by-step instructions.

Method 2: Mediated deposit

We understand that first-time users may have many queries on the data deposit process. Fear not, we do provide a mediated deposit service. All you have to do is to contact the friendly research data librarians at NTU Libraries for help!

Why should NTU researchers use DR-NTU (Data)?

There are a couple of reasons why NTU researchers should consider using DR-NTU (Data):

  • Compliance to funders’ and/or institution’s research data policy requirements

Many research funders and institutions worldwide are implementing data sharing requirements in their funding or institutional policies (e.g. Wellcome Trust, National Science Foundation (US), National Institutes of Health).

In NTU, research data are expected to be retained for at least 10 years. Furthermore, Principal Investigators (PIs) are required to deposit their final research data to the NTU Data Repository or external open access repository no later than the first online publication of the article (NTU Research Data Policy).

  • No cost involved

Since DR-NTU (Data) is free, researchers can save their research funds from paying subscription fees to commercial research data repositories.

  • Better guarantee of perpetuity

Other commercial or non-profit data repositories may shut down when lack of funding and they are not obligated ensure the long term preservation of deposited data.

  • Reap the benefits of data sharing

Research has shown that data sharing has led to higher research visibility and citation rates (Gleditsch, Metelits & Strand, 2003; Piwowar, Day & Fridsma, 2007; Ioannidis et al., 2009; Pienta, Alter & Lyle, 2010; Henneken & Accomazzi, 2011; Sears, 2011; Dorch, 2012; Piwowar & Vision, 2017).

In addition, persistent identifiers (i.e. DOIs) and data citation will be generated for each dataset deposited successfully. The DOIs and data citations can encourage and help in data reuse and keeping track of data usage.

Any other interesting features of DR-NTU (Data)?

Sub-dataverses can be created by or for schools, research centres, project groups or individual researchers. What’s more, these sub-dataverses can be customized (themes, permissions, dataset templates, etc.) according to the needs of the group.

What’s next?

Apart from the regular DMP workshops, we would be lining up some workshops to highlight the features and let participants have a hand-on experience of using DR-NTU (Data). Please keep a lookout for the publicity emails and calls for registration!

Nevertheless, if you can’t wait to learn more about DR-NTU (Data), you can arrange for a consultation session with the research data librarians too!

 

Related Links:
DR-NTU (Data) Policies
DR-NTU (Data) FAQ
Research Data Management Guide

NTU Libraries Research Data Management Guide

RDMguideThe NTU Libraries Research Data Management Guide is now up and running!

The guide can be accessed via the Library homepage within the box titled “Research and Scholarship” or you can simply click the following URL to view the guide: https://blogs.ntu.edu.sg/lib-datamanagement/.

The research data management guide aims to help NTU researchers learn more about the various aspects of research data management and sharing as well as to guide them in meeting the university and funders’ requirements. Topics include what is research data, how to share data, where to share data, why share data, benefits of sharing data and etc. A number of relevant YouTube videos have also been included in the guide so that anyone who is interested in the topic could have a brief overview quickly.

More topics will be made available in future updates of this guide, e.g. more local topics such as the upcoming NTU DMP, relevance to the NTU Research Data Policy, etc. Please stay tuned to the guide for more updates!

If you would like to find out more about NTU Libraries research data management services, please contact us via library@ntu.edu.sg.

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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Developing researcher skills in research data management : a DataPool project report

Authors of this project have deposited a copy of the report in ePrints Soton, University of Southampton institutional repository, on Apr 22, 2013.

Description / Abstract

This report will look at the multi-level approach to developing researcher skills in research data management in the University of Southampton, developed as part of the training strand of the JISC DataPool project, and embedded into the University engagement with research data management. It will look at how
• the multi-level approach to research data management training provides opportunities for cross- and multi-disciplinary sharing events as well as bespoke subject specific sessions;
• co-delivery with active researchers and/or other professional support services benefits the presentation and relevance of the material to the researchers;
• focussing the event and matching content to the expected audience is key;
• using the Institutional Data Management Blueprint dual approach of bottom-up (researchers needs)/top-down (institutional policies and infrastructure) worked