Trusted CI webinar: Trustworthy Data Panel

Basney, Jim; Gesing, Sandra; Hanisch, Bob; Koskela, Rebecca

Permalink

https://hdl.handle.net/2142/109069 Copy

Description

Title

Trusted CI webinar: Trustworthy Data Panel

Author(s)

• Basney, Jim
• Gesing, Sandra
• Hanisch, Bob
• Koskela, Rebecca

Issue Date

2020-12-07

Keyword(s)

• Trusted CI
• webinar
• NSF
• Cybersecurity
• Trustworthy Data
• NIST
• PresQT
• RDA-US

Abstract

The Trustworthy Data Working Group (TDWG) is a collaborative effort of Trusted CI, the four NSF Big Data Innovation Hubs, the NSF CI CoE Pilot, the Ostrom Workshop on Data Management and Information Governance, the NSF Engagement and Performance Operations Center (EPOC), the Indiana Geological and Water Survey, the Open Storage Network, and other interested community members. The goal of the working group is to understand scientific data security concerns and provide guidance on ensuring the trustworthiness of data. This year the TDWG published a survey report about data security concerns and practices amongst the scientific community. And, building off the insights of the survey report, the working group published a guidance report on trustworthy data for science projects, including science gateways, that covers the topics that the panel will be discussing. This panel is an opportunity to discuss the work of the TDWG in the larger context of related work by PresQT, NIST, and RDA-US. Our panelists are: * Jim Basney: Deputy Director, Trusted CI * Sandra Gesing: Associate Research Professor, Department of Computer Science and Engineering; Computational Scientist, Center for Research Computing; University of Notre Dame (PresQT) * Bob Hanisch: Director of Office of Data & Informatics, NIST * Rebecca Koskela: Executive Director, Research Data Alliance - US (RDA-US)

Type of Resource

• text
• still image

Language

en

Permalink

http://hdl.handle.net/2142/109069

Sponsor(s)/Grant Number(s)

NSF Grant # 1920430

Copyright and License Information

Copyright © 2020 The Trustees of Indiana University. This work is licensed under a Creative Commons Attribution-­NonCommercial 3.0 Unported (CC BY­NC 3.0) license.

Owning Collections