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Research Data Management: Review FEBRUARY 8, 2018 CAROL PERRY, LIBRARY A. MICHELLE EDWARDS, OAC

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Page 1: Research Data Management - WordPress.com...2018/02/08  · 16 RDM - REVIEW 2018 17 RDM - REVIEW 2018 18 RDM - REVIEW 2018 19 RDM - REVIEW 2018 20 RDM - REVIEW 2018 21 RDM - REVIEW

Research Data Management: Review

FEBRUARY 8, 2018

CAROL PERRY, LIBRARY

A. MICHELLE EDWARDS, OAC

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AgendaReview material covered in previous workshops

Apply what has been covered to the creation of a data management plan

Complete a metadata (documentation) template

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Research Data Management Plan

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RESEARCH PROJECT

PLAN

Create

Process

Analyse

Report

Preserve

Share/Reuse

3

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RDM RefresherA sound strategy and best practices used to………

◦ Organize◦ Document◦ Store◦ Analyze◦ Secure◦ Preserve/Share/Reuse

………Your data

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Review/questionsWhat questions have been raised by the material covered in these workshops?

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Applying what has been learned

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WorkshopScenario

The French Blast Research Group received an NSERC grant in 2016-2017 to continue an ongoing feeding trial. The research involves three horses from a number of different farms, where each horse is weighed(kg) at the beginning of the trial, placed on one of three feed regimens (hay, pasture, or silage), their total feed intake(kg) is measured for 2 consecutive weeks, and their weights (kg) are taken at the same time.

Additional information that is gathered includes: the name of the horse’s owner, the annual income of the owner, and feed costs of the owner for their horses.

You have been hired by the French Blast Research Group to manage their data collections. They have 5 years of horse feeding trial data that was collected from a number of horse farms across Ontario since 2011. You have been hired to review, manage, and preserve their research trial data according to best practices and requirements of the NSERC grant.

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Why should I care about RDM?Can you find the data you need?

Can you understand the data you have?

Can others understand the data you have?

Are you required to handle your data in a specific way?

Are you required to share or preserve it?

How will you share/preserve your data?

Where will you share/preserve it?

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Exercise 1Create a data management plan (DMP) using the workshop scenario.

https://portagenetwork.ca/

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MetadataMetadata = documentation that describes the project and its contents

Best practice for project management

Repositories will require some documentation to accompany your files◦ Project level◦ File level◦ Item level

◦ End user terms of use◦ Citation information

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Presenter
Presentation Notes
Emphasize that if they do a good job with their readme files and documenting their data, this part will be smooth and a matter of copying and pasting
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Metadata element Description Fill in information as applicable

Title Full title of the dataset

Author (s) Person, corporate body, or agency responsible for the work’s intellectual content. Include names, affiliations, and email addresses (e.g. [NAME], [DEPARTMENT/SCHOOL], [COLLEGE], [UNIVERSITY].

Production Date The date the final version of the dataset beingdeposited in the repository was created. This is the date that will be used in the dataset citation.

Funding agency The source(s) of funds for the production of the work

Time period covered

Time period covered by the data

Date of collection The date(s) when the data were actually collected

Keywords Words or phrases that describes the data collection’s content (please provide at least 5 keywords)

Description Summary describing the purpose and scope of the data collection, and what questions the investigatorsattempted to answer.

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Presenter
Presentation Notes
What is the minimum metadata fields that you require the researches to complete? 19 fields Go to folders for sample metadata template.
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Exercise – MetadataBegin filling in the metadata template with information from the Project Scenario.

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https://dataverse.scholarsportal.info/dataverse/ugardr

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National preservation & discovery system

Part of: Research Data Canada Federated Pilot Project

Data repositories are connected through a national network and portal for discovery

https://www.frdr.ca/repo/

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Presenter
Presentation Notes
Nat’l preservation & discovery system Technical notes: 2 platforms: islandora & dataverse, processed through Archivmatica & Globus digital preservation platform onto Compute Canada stacks Discovery layer will provide end use access to all data Compute Canada/CARL Pilot project completed – now limited production Full production release in January 2018 Compute Canada provides the infrastructure University-based repositories provide the ingest software at the front end
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End of the series

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Contact information:Michelle EdwardsOAC Statistics [email protected]

http://www.uoguelph.ca/oac/stats

Carol PerryAssociate Librarian Research & [email protected]

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