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Audio for "Environmental Data Management (EDM): Best Practices for Achieving and Maintaining Quality within Environmental Data Management," Mar 19, 2024

 
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Manage episode 408852193 series 129983
内容由Contaminated Site Clean-Up Information (CLU-IN)提供。所有播客内容(包括剧集、图形和播客描述)均由 Contaminated Site Clean-Up Information (CLU-IN) 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
The ITRC Environmental Data Management Best Practices Team (EDMBP Team) prepared a series of guidance documents and case studies on best practices for all phases of EDM to address the need for guidance on managing large stores of environmental data. Environmental data management (EDM) is a broad field that encompasses all aspects of environmental research and regulation, from habitat studies and wildlife management plans to health advisories and remediation of hazardous waste sites. The EDMBP Team developed three Roundtable training sessions to support the Guidance Document and case studies. You are welcome to register for any of the three, but they do not build upon each other.Data Management: Real Life Application of Data Management Planning and Field Data Collection Best PracticesData Exchange: Best Practices for Exchanging Environmental DataData Quality: Best Practices for Achieving and Maintaining Quality within Environmental Data ManagementNobody wants to make the wrong decision, especially when it comes to the health of individuals and the planet we all inhabit. In order to make sound environmental decisions, you need confidence in the data being used to make those decisions. Collecting usable data is everyone's goal. Good planning, setting clear data quality objectives, and having procedures for measuring and documenting if those quality objectives were met, are the basic components in any data quality program. This Roundtable training is meant to lead project managers, data collectors, data managers, and data reviewers in a discussion about various aspects of environmental data quality. Are you struggling with determining the quality of your data sets and understanding if they should be used to make decisions? Do you have a hard time advocating for budget related to data quality tasks or determining how much review is necessary? Our collection of panelists will touch on these topics and more, as well as answer attendee questions related to environmental data quality. To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/itrc/EDM-3_031924/
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Artwork
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Manage episode 408852193 series 129983
内容由Contaminated Site Clean-Up Information (CLU-IN)提供。所有播客内容(包括剧集、图形和播客描述)均由 Contaminated Site Clean-Up Information (CLU-IN) 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
The ITRC Environmental Data Management Best Practices Team (EDMBP Team) prepared a series of guidance documents and case studies on best practices for all phases of EDM to address the need for guidance on managing large stores of environmental data. Environmental data management (EDM) is a broad field that encompasses all aspects of environmental research and regulation, from habitat studies and wildlife management plans to health advisories and remediation of hazardous waste sites. The EDMBP Team developed three Roundtable training sessions to support the Guidance Document and case studies. You are welcome to register for any of the three, but they do not build upon each other.Data Management: Real Life Application of Data Management Planning and Field Data Collection Best PracticesData Exchange: Best Practices for Exchanging Environmental DataData Quality: Best Practices for Achieving and Maintaining Quality within Environmental Data ManagementNobody wants to make the wrong decision, especially when it comes to the health of individuals and the planet we all inhabit. In order to make sound environmental decisions, you need confidence in the data being used to make those decisions. Collecting usable data is everyone's goal. Good planning, setting clear data quality objectives, and having procedures for measuring and documenting if those quality objectives were met, are the basic components in any data quality program. This Roundtable training is meant to lead project managers, data collectors, data managers, and data reviewers in a discussion about various aspects of environmental data quality. Are you struggling with determining the quality of your data sets and understanding if they should be used to make decisions? Do you have a hard time advocating for budget related to data quality tasks or determining how much review is necessary? Our collection of panelists will touch on these topics and more, as well as answer attendee questions related to environmental data quality. To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/itrc/EDM-3_031924/
  continue reading

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