BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Rethinking Clinical Trials - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://rethinkingclinicaltrials.org
X-WR-CALDESC:Events for Rethinking Clinical Trials
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250320T130000
DTEND;TZID=America/New_York:20250320T140000
DTSTAMP:20260427T152641
CREATED:20250310T135825Z
LAST-MODIFIED:20250310T135825Z
UID:35995-1742475600-1742479200@rethinkingclinicaltrials.org
SUMMARY:Essential Elements for Sharing a Data Package (NIH HEAL Initiative)
DESCRIPTION:Essential Elements for Sharing a Data Package\nNIH HEAL Initiative Data Stewardship Group\nMarch 20\, 2025; 1:00-2:00 pm ET \n\nThe HEAL Data Stewardship Group is excited to announce the next Fresh FAIR Webinar! Please join us on Thursday\, March 20 from 1:00-2:00 p.m. Eastern Time for Essential Elements for Sharing a Data Package. \nDescription: Effective data packaging is essential for ensuring that research data remains structured\, discoverable\, and reusable in alignment with the NIH HEAL Initiative’s goals. This webinar will explore best practices for data packaging across various stages of the research lifecycle\, emphasizing the importance of meeting repository requirements and adhering to FAIR data principles. \nSarah Myer\, MPH\, a HEAL Steward\, will highlight the significance of well-structured data within the NIH HEAL Initiative\, explaining how data advances research within the biopsychosocial model of pain and addiction\, supporting interdisciplinary collaboration and secondary reuse. Attendees will gain insights into the role of metadata in the HEAL Data Ecosystem (HDE) and its impact on data discoverability and secondary use underscoring the value of data packaging components for reusability. \nBrienna Larrick\, Ph.D.\, PMP\, from the HEAL Platform\, will outline the key components of a well-organized data package. The session will explain the common types of files included in a data package by providing an overview distinguishing between processed and raw data files\, recommending preferred formats (e.g.\, CSV\, TSV\, JSON) for various data types\, and demonstrating examples for mapping variables to ontologies and semantic standards such as Common Data Elements (CDEs). \nTo illustrate these concepts\, the webinar will feature HEAL-specific examples of study teams that have successfully packaged and submitted datasets to repositories to illustrate effective approaches to data organization\, metadata creation\, and adherence to repository requirements. \nAttendees will also have access to key resources\, including Data Curation Costs for Submitting\, the ICPSR Guide to Social Science Data Preparation and Archiving (6th ed.)\, and the NIH Pragmatic Trials Collaboratory Living Notebook. \nA live Q&A session will follow\, enabling participants to engage with experts and address specific challenges related to data packaging and submission. The webinar will conclude with a call to action\, encouraging researchers to submit their datasets to HEAL repositories using best practices that enhance data accessibility and long-term usability. \nRegister now! 
URL:https://rethinkingclinicaltrials.org/event/essential-elements-for-sharing-a-data-package-nih-heal-initiative/
END:VEVENT
END:VCALENDAR