Fwd: Data Management 101: Tips for making your published data more Findable, Accessible, Interoperable and Reusable

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Fwd: Data Management 101: Tips for making your published data more Findable, Accessible, Interoperable and Reusable

Sam Hokin-3
FYI, devs. Leonore Reiser is at Phoenix Bioinformatics, which used to be TAIR, the main data resource for Arabidopsis research.
Seems relevant to us since IM is supposed to be FAIR.

Plantae Seminar Series
American Society of Plant Biologists. Problem viewing email? Click here to view it online.


May 2018 Webinar
Data Management 101:
Tips for making your published data more FAIR (Findable, Accessible, Interoperable and Reusable)

When: 12:30 PM EDT (5:30 PM BST), Wednesday, May 30

About This Seminar

The sheer volume of experimental data being generated in biology presents both opportunities and challenges. When data are easy to access, analyze, and reuse, they can drive innovation while maximizing the returns on the investments of time, grant money, and energy that went into generating them. Most funders and many publishers have data sharing requirements but do not offer explicit advice on how to comply. The goals of this webinar are to demystify data management, introduce the concepts behind the Findable, Accessible, Interoperable and Reusable (FAIR) data standards, and offer some practical strategies that researchers can use when preparing manuscripts and associated data for publication to ensure that their published works are FAIR.

Participants will be able to:

  • Understand the benefits of a well-thought-out and executed data management plan, both for themselves and the broader research community
  • Understand the importance of metadata and how to apply metadata to their data sets and research artifacts
  • Understand high-level concepts in data management, how to identify data management challenges in their own research, and how to identify appropriate resources/solutions for those data management issues
  • Understand how to write a scientific manuscript in such a way as to avoid common problems that make data from research articles difficult to access and reuse
  • Know what the FAIR data principles are and what they mean
  • Know how to publish research data that comply with FAIR data standards


Register Now
There is no fee for registration   |   Space is limited


SPEAKER

Leonore ReiserLeonore Reiser
Ph.D. Senior Scientific Curator
Phoenix Bioinformatics

Leonore is a senior scientific curator at Phoenix Bioinformatics where she primarily works on extracting and synthesizing experimental data about Arabidopsis thaliana from research articles. She received her Ph.D. in plant biology from UC Berkeley studying Arabidopsis development and completed a post-doctoral fellowship in maize genetics, before becoming a founding curator at The Arabidopsis Information Resource (TAIR). She is passionate about making it easier for researchers to access and use biological data so they can spend less time managing spreadsheets and more time making new discoveries.


Register Now

There is no fee for registration    |   Space is limited


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