BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CCDHHN - ECPv6.15.16//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://ccdhhn.ca
X-WR-CALDESC:Events for CCDHHN
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Halifax
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20240310T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20241103T050000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20250309T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20251102T050000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20260308T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20261101T050000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20250520T000000
DTEND;TZID=America/Halifax:20250520T235959
DTSTAMP:20260405T044305
CREATED:20241003T132249Z
LAST-MODIFIED:20241003T132254Z
UID:10000355-1747699200-1747785599@ccdhhn.ca
SUMMARY:Data Deposit Bootcamp
DESCRIPTION:Date: 20 May 2025 \n\n\n\nData deposit and data sharing are increasingly recognized as best practice to support open research\, reproducibility\, research integrity\, collaboration\, and more. Disciplines\, funders\, and journals are increasingly requiring researchers to share or deposit data. But how do you get your dataset ready for sharing? What’s the best repository to share it in? If you have a dataset that’s ready for deposit or that you’d like to get deposit ready\, join RDM Services for this workshop. \n\n\n\nBy the end of this 3-hour session\, you will be able to: \n\n\n\n• Identify a target data repository \n\n\n\n• Organize and create documentation for your dataset\, \n\n\n\n• Define your metadata\, and \n\n\n\n• (Potentially) begin the deposit process. \n\n\n\nIf you have a dataset ready to submit\, bring it along! No dataset\, no problems–we have a sample dataset you can use to go through the process and learn how to deposit data. \n\n\n\nWith light snacks and refreshments to sustain you and specialists on-hand to answer any questions\, you’ll end this session with ready-to-submit data…or submitted or even published data! Graduate Students who have finished their thesis work are encouraged to attend! \n\n\n\nLearning Outcomes: Outline documentation and metadata best practices and identify the appropriate repository for their dataset. Develop a README file that thoroughly describes the dataset being deposited. Organize datasets in preperation for data deposit\, including metadata entry. \n\n\n\nDetails: This workshop will not be recorded. \n\n\n\nFacilitator Bio:  \n\n\n\nIsaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students\, staff\, and faculty. His expertise lies in questions surrounding data storage\, security\, planning\, archival\, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods\, open science\, and data science. \n\n\n\nDanica Evering holds expansive experience with research support\, education\, project management\, advocacy\, and knowledge translation; with fluency in social practice art\, healthcare\, community research\, data\, and systems development. Danica supports students\, postdocs\, faculty\, and staff with RDM through the data lifecycle—Data Management Plans\, storage and backup\, data security\, data sharing. With an MA in Media Studies from Concordia\, they are interested in fostering RDM within curious scholars and disciplines.
URL:https://ccdhhn.ca/workshop/data-deposit-bootcamp/
LOCATION:McMaster University\, 1280 Main St W\, Hamilton\, Ontario\, L8S 4L8\, Canada
CATEGORIES:1-4 hour workshop
ATTACH;FMTTYPE=image/png:https://ccdhhn.ca/wp-content/uploads/2024/09/SCDS-logo.png
GEO:43.262744745136;-79.917660388376
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=McMaster University 1280 Main St W Hamilton Ontario L8S 4L8 Canada;X-APPLE-RADIUS=500;X-TITLE=1280 Main St W:geo:-79.917660388376,43.262744745136
END:VEVENT
END:VCALENDAR