SHARING YOUR RESEARCH DATA VIA

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Transcription:

SHARING YOUR RESEARCH DATA VIA SCHOLARBANK@NUS

MEET OUR TEAM Gerrie Kow Head, Scholarly Communication NUS Libraries gerrie@nus.edu.sg Estella Ye Research Data Management Librarian NUS Libraries estella.ye@nus.edu.sg

What we do

WHAT WILL BE COVERED Why Share Research Data What is ScholarBank@NUS o o Why deposit research data into ScholarBank@NUS Research data content policy Submitting Research Data into ScholarBank@NUS o o o Before Your Submission How to Submit Persistent Identifiers & Data Citation

WHY SHARE RESEARCH DATA FUNDERS MANDATE Social Science Thematic Grant 2017

WHY SHARE RESEARCH DATA FUNDERS MANDATE Find out more

WHY SHARE RESEARCH DATA PUBLISHERS REQUIREMENTS Data Deposition Policy Data Sharing and Citation Research Data Policy Types

WHY SHARE RESEARCH DATA GOOD FOR SCIENCE, GOOD FOR YOU Provides higher ROI for public investment Encourages scientific enquiry and debate Facilitates innovations and technological advancement Provides you credit - research data as a research output in its own right Leads to new collaborations between data users and data creators Increases the impact and visibility of research Source: UK Data Archive

Clinical and imaging data collected in the Alzheimer s Disease Neuroimaging Initiative (ADNI) were made available immediately for scientists to download and analyze. This type of open clinical data sharing policy was unprecedented at that time exceptional 2010 to date 771 papers have been published We make data transparent and available so that other people can analyze the data and discover different things, this is going to accelerate all of science and it's a relatively inexpensive way to get more value out of all of the work that we do. Michael Weiner, principal investigator of ADNI This is now a possible model for looking at Parkinson's disease The New York Times Science

CASE STUDY: The English Lexicon Project by Washington University 77976 Unique visits to the Dataset 893 Citation Counts of Related Article 13.05 Field-Weighted Citation Impact of Related Article Scan Here to View the Dataset Date: Sept 22, 2017

SCOPUS: The English Lexicon Project publication

SCOPUS: The British Lexicon Project publication

The Open Data Citation Advantage 85 studies 69% increase Gene expression microarray data Astrophysics & astronomy Citation advantage 20-50% 430 studies 10 years Doubling of citations Political science Read more here

WHAT IS SCHOLARBANK@NUS ScholarBank@NUS is the Institutional Repository (IR) of NUS OUR GOALS Collect and showcase the research output of NUS researchers in order to Support NUS researchers in increasing their research visibility Demonstrate the research excellence of NUS to the world Starting from Oct 2017, ScholarBank@NUS accepts research data produced by NUS researchers.

WHY SCHOLARBANK@NUS?

WHY SCHOLARBANK@NUS? Longevity Personalized service Free forever NUS Research Story

SCHOLARBANK@NUS RESEARCH DATA CONTENT POLICY Who can contribute? o NUS staff with assigned staff numbers and NUSNET IDs o NUS departments (including NUS affiliated Research Institutes/Centres) What type of datasets do we accept? o Research data that are tied to publications o Research data may be of use to researchers and the public o The submission will be reviewed on a case-by-case basis

SUBMITTING YOUR RESEARCH DATA INTO SCHOLARBANK@NUS 1 2 3 4 5 6 7 Start A New Submission Describe the Dataset Apply Data License Upload Data Files Describe Data Files Define Access Setting Verify Submission Details

2 Describe Your Dataset Metadata is defined as "structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource. Dublin Core Metadata Schema Descriptive Structural Preservation Administrative Title Contributor Subject Description Identifiers (e.g. DOI, URI) Type Table of contents Related publications File formats Provenance Department License information Access control Versions WBS code Grant ID Demo Source: Understanding Metadata, National Information Standards Organization United States, 2004)

Why you should give your research output a DOI What is a DOI? A DOI is a unique alphanumeric string assigned to identify content and provide a persistent link to its location on the Internet. It can be assigned to intellectual property, such as: Datasets AV materials Event Image Software Sound Text Website Workflow Benefits Persistence Accessible for long-term use High level of confidence in the quality and accuracy of DOIs: supported by the International DOI Federation (IDF) and Registration Agencies infrastructure Unambiguous data citation DOIs enable citation tracking Accessibility DOI resolves to an online metadata record which provide easy access Source: Australian National Data Service; American Psychological Association

DOI & Data Citation for a test record

DataCite Search & Data Citation

Metadata in XML

Google Search Results

3 Apply Open Data License Default License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) This grants any user the permission to remix, tweak, and build upon your work non-commercially. If your research is funded by NUS, the University assigns automatic rights to NUS Libraries to publish the research data under CC BY-NC 4.0. License Name Commercial Use of Work Modification of Work Attribution 4.0 International (CC BY) Yes Yes Attribution-NonCommercial 4.0 International (CC BY-NC) No Yes Attribution-NoDerivatives 4.0 International (CC-BY-ND) Yes No Attribution-Non-Commercial-NoDerivatives 4.0 International (CC BY-NC-ND) No No Attribution-ShareAlike 4.0 International (CC BY-SA) Yes ShareAlike Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA) No ShareAlike

4 Upload Data Files Group files into a dataset What to share Up to 1GB (individual file) for manual submission 1 2 3 Organise your data Consistent file naming Convert to recommended formats Deal with sensitive data Prepare your documentation README file Supplementary information (if any)

2 Prepare your data File Naming 1. Include important contextual information 2. Try not to have very long file names 3. Use date format YYYYMMDD or YYMMDD 4. Avoid special characters (i.e. ~! @ # $ % ^ & * ( ) ` ; < >?., [ ] { } ' " ) and space in a file name 5. Include the versioning information (if needed) File Formats 1. Non-proprietary formats is preferred 2. "Lossless" formats 3. Commonly used by the research community Sensitive Data 1. Sufficiently anonymise your data 2. Explicit consent needed for any research subjects whose identity could be revealed from the data (including images)

3 Prepare your documentation README File A README file is intended to help ensure that your research data can be correctly interpreted and re-used by others. Write your README document as a plain text file Name your README file as "readme.txt Contents to be considered: General information, e.g. title, creator, date/date range of data collection Data and file overview, e.g. brief description to the dataset or each data file Sharing and access information, e.g. licensing and rights Methodological information Technical information, e.g. system requirements/software to access or analyse the data

RDM LibGuide

6 Define Access Setting Open by default Embargo setting is available (no more than 2 year) For other access settings (Restricted/Closed), please contact us and it will be considered on a case-by-case basis

WHY DEPOSIT RESEARCH DATA INTO SCHOLARBANK@NUS Your research data will stay with NUS IT within the campus network. We keep your data in perpetuity with frequent backups. DOIs are assigned to archived datasets. Through this, formal citations and usage statistics are trackable. Usage and citation statistics tracking is enabled. With authors ORCiDs added to Dataset description, records of dataset will be automatically updated on your ORCiD profile.

RESEARCH DATA SERVICES@NUS LIBRARIES Data Management Planning Data Organisation Strategies Metadata & Documentation Data Sharing & Publishing DOI Minting Workshops & Trainings And More Contact Us nusl.scomm@nus.edu.sg gerrie@nus.edu.sg estella.ye@nus.edu.sg

SCHOLARBANK@NUS Future Plans Engagement with Departments/Funders o To facilitate a one time/one source deposit to save researchers time Explore APIs that would allow harvesting of NUS researchers output o To facilitate a one time/one source deposit to save researchers time Actively gather feedback from end-users o To develop and enhance existing system and services Design discipline specific workshops on RDM o To upskill researchers in RDM best practices

USEFUL RESOURCES ScholarBank@NUS Scholarbank.nus.edu.sg ScholarBank@NUS Research Data Content Policy Scholarbank.nus.edu.sg/policy-for-datasets.jsp NUS Libraries LibGuide Research Data Management libguides.nus.edu.sg/rdm NUS Libraries LibFAQ libfaq.nus.edu.sg/search/?t=0&adv=1&topics=scholarbank %40NUS NUS Research Data Management Policy www.nus.edu.sg/dpr/infoforresearchers/researchdmp.html Creative Commons Licenses creativecommons.org/licenses/

YOUR FEEDBACK IS GREATLY APPRECIATED https://nus.edu/2glm0fo

FAQ

THE END THANK YOU