openwashdata webinar: a data sharing workflow that may please the publishers
In this joint webinar with the Public Library of Science (PLOS) we will introduce you to a workflow for sharing data openly. You will learn about the importance of open data and tangible benefits for sharing.
๐ Welcome
Are you wondering why anyone should be interested in your data beyond your project? Do you want to know how to satisfy publisher policies for sharing your data in the process of submitting your scientific article?
Join us for this joint webinar with PLOS to learn more about:
- the openwashdata community and PLOS Water community
- a workflow for sharing data following FAIR principles for data management Wilkinson et al. (2016)
- why open data is important
- tangible benefits of sharing your data
- how PLOS supports open data sharing & open science
๐ Event Details
Date: Tuesday, January 23, 2:00 - 3:00 PM (CET)
Zoom Registration: https://ethz.zoom.us/meeting/register/u50lce-vrD0iGN06ywPHr2gPU84Ljr_zmNAf
๐บ๐ธ 6:00 AM (MST - Boulder, USA)
๐ฌ๐ง 1:00 PM (GMT - London, UK)
๐ณ๐ฌ 2:00 PM (WAT - Katsina, Nigeria)
๐ฐ๐ช 4:00 PM (EAT - Nairobi, Kenya)
๐ฎ๐ณ 6:30 PM (IST - New Delhi, India)
๐ฎ๐ฉ 8:00 PM (WIB - Jakarta, Indonesia)
๐ Agenda
Time | Title | Speaker | Affiliation |
---|---|---|---|
02:00 - 02:05 | Welcome | Elizabeth Tilley | Professor at ETH Zurich, Global Health Engineering |
02:05 - 02:25 | openwashdata community & workflow | Lars Schรถbitz | Open Science Specialist at ETH Zurich, Global Health Engineering |
02:25 - 02:45 | Open data: A publishers perspective | Lauren Cadwallader | Open Research Manager at Public Library of Science (PLOS) |
02:45 - 03:00 | Discussion | Elizabeth Tilley | Professor at ETH Zurich, Global Health Engineering |
Slides
openwashdata community & workflow
Open data: A publishers perspective
๐ Objectives
By the end of this webinar, participants will be able to:
- Identify where and how to contact the openwashdata team for support with data sharing
- Describe the benefits of sharing data in addition to a scientific article
- Rethink current misconceptions about data sharing