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Data Management for GIS projects

February 18, 2020 6:41 PM | Matthew Harp (Administrator)

The next webinar in our RDAP “Ask me Anything” town hall series is entitled “Data Management for GIS projects”, and is jointly sponsored by RDAP and the University Consortium for Geographic Information Science (UCGIS). UCGIS will host this webinar.

Webinar Description: With federal and other funding agencies wanting to ensure long term access to research output, data management planning for GIS projects has great importance. This webinar shares insight on lessons learned through GIS projects and highlights best practices for different steps in project exploration and creation. Also in this webinar a geology researcher using GIS techniques and collecting geospatial data will explain how she communicated her use of best practices through a data management plan for a successfully funded NSF grant. Attendees will understand the importance of well written data management plans, how to put those plans into action through implementing data management planning and reproducible research best practices, and how library engagement can help with data management planning.

Presenters: Amy Koshoffer, University of Cincinnati; Jennifer Latessa, University of Cincinnati; and Paula Figueiredo, North Carolina State University

Data Management for GIS Projects on Feb 26, 2020 2:00 PM EST

After registering, you will receive a confirmation email containing information about joining the webinar.

About UC–GIS: The University Consortium for Geographic Information Science (UCGIS) is a non-profit organization that creates and supports communities of practice for GIScience research, education, and policy endeavors in higher education and with allied institutions. We are the professional hub for the academic GIS community in the United States, with partnerships extending this capacity abroad. Check to see if your institution is a member – https://www.ucgis.org/members

ABOUT RDAP ASSOCIATION

The RDAP community brings together a variety of individuals, including data managers and curators, librarians, archivists, researchers, educators, students, technologists, and data scientists from academic institutions, data centers, funding agencies, and industry who represent a wide range of STEM disciplines, social sciences, and humanities.

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