NTU DMP Writing Workshops

Following the launch of the NTU Research Data Policy and NTU DMP tool on 14 Apr 2016, the Library and Research Support Office (RSO) have been conducting DMP writing workshops for various colleges, schools, research centres using the NTU DMP template. More than 100 NTU faculty and non-faculty researchers have attended 7 workshops so far. Most, if not all would have completed a draft DMP at the end of the workshop.

Our RSO colleague would typically kick off the session with a brief overview of the NTU Research Data Policy and DMP creation, reminder and submission workflow. A Research Data Management librarian from the Scholarly Communication Group of NTU Libraries would then spend most part of the workshop time to walk through the 10 questions in the NTU DMP template with workshop participants. If you haven’t had the chance to use the NTU DMP template in RIMS, you may like to visit the online Research Data Management Guide for an overview listing of the 10 questions with corresponding guides and samples.

If you would like to attend a DMP writing workshop, you may like to register via this link.

DMP writing workshop 20160615

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.

Data_Policy_launch_20160414_Tim

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

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 .

Library Menus for Science 2.0 Researchers : May we take your order please?

Sci2menu

Caught at the tail end of Nobuko Miyairi‘s Academic Publishing Talk Series Lecture entitled “Evolving Research Tools in Scholarly Communication” : that’s Goh Su Nee, Scholarly Communication Group Senior Assistant Director, in an apron presenting  NTU Libraries Menus for Science 2.0 researchers.  Click on the menu to see appetizer, main course and dessert details. Bon appetit!

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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