[ESIP-all] Reminder: DataONE webinar tomorrow, live from IDW

[Amber Budden]

Dear Colleagues

The 2016/7 season of DataONE Webinar Series will launch tomorrow on September 13th at 0900PT/1000MT/1100CT/12noonET.

Opening the series will be a panel discussion of incentives, challenges and barriers associated with data sharing, live from International Data Week in Denver, CO. Speakers include Jens Klump (CSIRO), Heidi Laine (University of Helsinki) and Fiona Murphy (University of Reading). Full details can be found below.

The webinar series runs monthly on the second Tuesday of each month, through to May, and covers data management topics and discussions across all stages of the data life cycle.  Information on the upcoming webinar can always be found at: https://www.dataone.org/upcoming-webinar <https://www.dataone.org/upcoming-webinar>

Best
Amber


Incentives, Challenges, Barriers: Exploring social, institutional and economic reasons for sharing data
Jens Klump, Heidi Lane, Fiona Murphy
Tuesday September 13th
9 am Pacific / 10 am Mountain / 11am Central / 12 noon Eastern
Register here: https://attendee.gotowebinar.com/register/7273420427504686595 <https://attendee.gotowebinar.com/register/7273420427504686595>
Webinar Abstract

Crafting responsive tools for the sharing of data and knowledge requires understanding the people who will use them. In particular, exploring and studying how and why researchers perceive incentives, risks, and rewards for sharing research data may provide additional approaches and paths towards increasing openness. This webinar will be broadcast from SciDataCon during International Data Week in Denver, Colorado, and will feature panelists who plan to discuss their work in the areas of: data as social capital, giving researchers credit for data, and the results of a case study on perceived versus actual risks of data sharing.


Amber E Budden, PhD
Director for Community Engagement and Outreach
DataONE
University of New Mexico
1312 Basehart SE
Albuquerque NM 87106

cell: 505.205.7675
aebudden at dataone.unm.edu



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