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Data Management Training and Resources
The Research Data Management Lifecycle
File Organisation and Naming Exercise
Guidelines for writing "readme" style metadata and project descriptions (Cornell University)
A README.txt file example from data deposited in Dryad
Managing and Sharing Data - Guide from the UK Data Archive
9 Simple ways to make it easier to (re)use your data
How to share data with a statistician
Data standards, databases, and policies in the life, environmental and biomedical sciences
Disciplinary Metadata Standards
Good enough practices in scientific computing
Version Control with git (Software Carpentry)
Ten Simple Rules for Taking Advantage of Git and GitHub
Data Management Scenarios (Griffith University)
Australian National Data Service - Guides to working with data
23 (research data) Things around data - ANDS
10 Simple Rules for the Care and Feeding of Scientific Data
How to license research data (DCC guide from the UK)
Preparing raw clinical data for publication
med.data.edu.au has useful information for issues sourrounding medical data, storage, and transport.
Copyright for staff and students at the University of Auckland
Sign up for ORCID
Connect your ORCID to the University of Auckland
Deposit, find, and cite data - datacite.org
How to appraise and select data for curation (DCC and ANDS)
How open science helps researchers succeed
Data Management Plans
University of Auckland Data Management Plan (DMP) Template
An example DMP created in a New Zealand Context
Elements of Data Management Plans, and example DMPs. (ANDS)
10 Simple Rules for Creating a Good Data Management Plan
Storage Solutions
The University has a subscription to the Google Apps ecosystem which offers unlimited storage for Staff, Faculty, and Students.
Log in or sign up using your upi@aucklanduni.ac.nz email.
The University offers 2GB of storage to all students/staff which can be mounted as a network drive.
To request larger storage or shared project spaces, you can lodge a request via the Staff Service Centre.
The CeR is trialling file sharing and synchronisation services similar to Dropbox.
This might be a good option if you need to sync files between devices, or share folders with others either within or external to the University.
To request access to Seafile or ownCloud, contact Yvette Wharton y.wharton@auckland.ac.nz
Sharing and Publishing Data
The University of Auckland hosts an institutional version of Figshare.
Figshare is an online digital repository and publishing service where researchers can preserve and share their research outputs, including figures, datasets, images, and videos. Figshare makes it easy for a researcher to upload files via its web- interface, annotate the data with metadata like categories and tags, a description, references as well as funding and licensing information.
Features:
Content uploaded and published via Figshare is assigned a persistent digital identifier (DOI) through DataCite and indexed by Google Scholar.
Research groups can work together in projects and shared collections to collaboratively curate and edit data items.
For sensitive data, Figshare allows the publishing of only metadata associated with your research data, making people aware that this data exists and could maybe be used under certain conditions by contacting the owner.
Data published in Figshare can be private or public, or embargoed until a specified date.
Pros:
Good for finalised data (or metadata about a dataset) that you are ready to publish.
Published content is assigned a persistent, versioned, digital object identifier (DOI) through DataCite and indexed by Google Scholar.
Provides long term storage and accessibility to research data.
Widgets allow embedding of Figshare content in Canvas, Wordpress sites, and on the Web.
Cons:
Not suitable for active data that is still changing.
Not suitable for data that is not owned by you.
Not suitable for data with special privacy or security concerns, although metadata only records can be published to broadcast the existence of such datasets.
Considerations:
Figshare is under active development and additional features and services will be developed over time.
Once published publicly, data can not be ‘unpublished’.
Consider use of domain specific metadata schemas to describe your published data.
If you have a large dataset or number of files, consider using the Figshare API.
The Figshare service is hosted in Ireland, with all data published ultimately being stored on Auckland University Storage Systems. A REST API is available.
Eligibility: Current Post-graduate Students, Faculty, Staff, and Collaborators (external to the University)
Support:
General support is provided through the Library and Learning Services Research Support http://www.library.auckland.ac.nz/services/research-support
For technical support or for uploading datasets larger than 100GB contact CeR - eresearch-support@auckland.ac.nz
Alternative or Related Services:
Domain specific research repositories http://www.re3data.org/
Research Outputs http://www.library.auckland.ac.nz/services/research-support/research-outputs
ORCID http://www.library.auckland.ac.nz/services/research-support/orcid
Biblioinformatics http://www.library.auckland.ac.nz/biblioinformatics
For more details regarding your research data and Figshare please contact:
The Centre for eResearch eresearch-support@list.auckland.ac.nz
or Library and Learning Services - Laura Armstrong l.armstrong@auckland.ac.nz
Legislation, University Policies and Guidelines
See the Research Data Management Guidelines page
Help and Support
Contact The Centre for eResearch eresearch-support@list.auckland.ac.nz
or Library and Learning Services - Laura Armstrong l.armstrong@auckland.ac.nz
Drop by HackyHour to ask questions and meet others from across campus in an informal and friendly setting.