FAIRPoints-Introducing Community Guidelines for Sharing Dataset Quality Information

Location: Online via Zoom

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Speaker: Dr.Ge Peng

Knowledge about the quality of data and associated metadata, software, workflows and computing environment is important to establish the trustworthiness of individual datasets, support informed decisions on their (re)use, and is an essential part of the diverse data and information distribution ecosystem that supports open-source science. However, quality information, being difficult to curate and often context-specific, is currently not readily available for sharing within and across disciplines.

To help address this challenge, and to promote the creation and (re)use of freely and openly shared dataset quality information, members of multiple, international groups collaborating with domain experts have undertaken the development of community guidelines with practical recommendations for the Earth science community. The guidelines follow the guiding principles of being findable, accessible, interoperable, and reusable (FAIR).

The FAIR dataset quality information guidelines are intended to help stakeholders, such as scientific data centers, digital data repositories, and producers, publishers, stewards and managers of data, to achieve the following: i) capture, describe, and represent quality information of their datasets in a manner that is consistent with the FAIR guiding principles; ii) allow for the maximum discovery, trust, sharing, and reuse of their datasets; and iii) enable international access to and integration of dataset quality information.

Bio:

Dr.Ge Peng is currently a Senior principal research scientist from the University of Alabama in Huntsville (UAH), supporting the NASA Interagency Implementation and Advanced Concepts Team (IMPACT) Project. With a Ph.D. in meteorology and a primary research focus on exploring the variability of essential climate variables of Earth atmosphere, ocean, and cryosphere, she has worked with various types of Earth observations and derived data products. She has first-hand experience of the challenges in finding and obtaining data quality information, which led her to find ways to systematically evaluate data quality as well as document and share quality information. Dr. Peng is a strong advocate of promoting scientific data stewardship and open science. She has volunteered for organizations that strive to minimize the barrier to data and information sharing, such as the Earth System Science Data (ESSD) Journal, the World Meteorological Organization (WMO), and the Earth Science Information Partners (ESIP). Dr. Peng is a leading author of several data stewardship assessment models for national and international Earth science organizations and has published a number of peer-reviewed papers on trends and variability of climate data, research data management and stewardship.

FAIRPoints is an event series highlighting pragmatic measures developed by the community towards the implementation of the FAIR (Findable, Accessible, Interoperable, Reusable) data principles, in collaboration with GoFAIR US, SDSC, and SciLifeLab Data Centre. 

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