[Ohiodig] Fw: EXT: RDAP-discuss: Upcoming training: Making Metadata FAIR

[DRESSLER, Virginia]

Perhaps of interest?

Dates are June 12 and 13, 10AM-2PM, and need to register by May 22nd.

-Ginnie


________________________________
From: 'Federer, Lisa (NIH/NLM) [E]' via RDAP Discuss <discuss at rdapassociation.org>
Sent: Monday, May 15, 2023 1:16 PM
To: discuss at rdapassociation.org <discuss at rdapassociation.org>; Datacure <datacure at googlegroups.com>
Subject: EXT: RDAP-discuss: Upcoming training: Making Metadata FAIR


Hello colleagues - sharing this training opportunity that may be of interest.

Getting practical with the FAIR Principles Event 2: Making Metadata FAIR<https://docs.google.com/forms/d/e/1FAIpQLSc6vTiaQwaLEP6g_fI4JP2B1g_YV-tV3dsnvHN5d1CwwqzhgA/viewform>

This second event in the “Getting Practical With The FAIR Principles” series will build on foundational familiarity with FAIR by providing participants with practical experience tackling a key challenge in FAIR implementation, creating FAIR metadata. Following an introduction to concrete strategies and tools, participants will collaborate on a set of guided exercises to generate FAIR metadata based on an example dataset. Through this hands-on approach, participants will gain experience addressing real-world social and technical challenges to make metadata FAIR. participants will leave the workshop with a better understanding of how FAIR works in practice, the skills needed to implement FAIR, and how to make FAIR a more routine aspect of their data management and/or stewardship practices.

Following the workshop, participants will be able to:

  *   Define the characteristics of FAIR metadata
  *   Describe the steps required to make metadata FAIR
  *   Describe social and technical challenges related to creating FAIR metadata and strategies and tools that can help address them
  *   Interact successfully with one or more technical tools for creating FAIR metadata

For more information and to register, please click here.<https://docs.google.com/forms/d/e/1FAIpQLSc6vTiaQwaLEP6g_fI4JP2B1g_YV-tV3dsnvHN5d1CwwqzhgA/viewform>

The Getting Practical with FAIR series, hosted by the NIH Office of Data Science Strategy (ODSS) and the GO FAIR Foundation(link is external)<https://www.gofair.foundation/about>, provides an opportunity to learn about the theoretical and practical foundations of the FAIR (Findable, Accessible, Interoperable, Reusable) Principles and how they can enhance the discovery, utility and attribution of biological and biomedical research data. The principles, first published in Nature(link is external)<https://www.nature.com/articles/sdata201618> in 2016, created a set of guidelines which seek to enhance the sharing and reuse of data. Through this event series, ODSS and the GO FAIR Foundation will support participants who seek to learn how FAIR works in practice, the skills needed to implement FAIR, and how to make FAIR a more routine aspect of their data management strategy.



_­­­­­­_______________­­­­­­__________________

Lisa Federer, PhD, MLIS

Acting Director, Office of Strategic Initiatives
https://www.nlm.nih.gov/od/osi/osi_home.html

National Library of Medicine

National Institutes of Health



lisa.federer at nih.gov<mailto:lisa.federer at nih.gov>

301-827-4399

she/her/hers



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