Overview of Interdisciplinary Earth Data Alliance (IEDA) Data Management Resources

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

In the digital era, documenting and sharing our scientific data is growing increasingly important as an integral part of the scientific process. Data Management not only makes our data resources available for others to build upon, but it also enables data syntheses and new analyses that hold the potential for significant scientific advancement. Effective data management begins during the planning stages of a project and continues throughout the research process from field and/or laboratory work, through analysis, and culminating with scientific literature and data publication. By planning ahead, and following some best practices along the way, the process of data management can be simple and relatively low-effort, enabling rapid contribution and publication of data in the appropriate data systems at the conclusion of a project.

IEDA offers a variety of tools to support investigators along the full continuum of their data management efforts:  Links to these tools and resources are available from the landing page for this resource.

Pre-Award

  • IEDA Data Discovery Tools
  • IEDA Data Management Plan (DMP) Tool

Research & Analysis

  • Register sample-based data sets and samples 
    • Register sample metadata and get a unique sample identifier (IGSN)
    • Download Templates for Analytical Data
    • Learn about contributing Analytical Data to the EarthChem Library
  • Register sensor-based data sets and samples 
    • Contribute sensor data files (e.g. geophysical data) and supporting metadata to MGDS
  • IEDA Analysis Tools
    • GeoMapApp earth science exploration and visualization application 
      • Analyze your own geospatial data within the context of other available datasets

Synthesis & Publication

  • Register final data sets with IEDA 
  • Publish your data 
    • Publishing your data with a DOI ensures that it can be directly referenced in your paper and cited by others.
  • IEDA Data Compliance Reporting (DCR) Tool 
    • Rapidly generate a Data Compliance Report (DCR) based on your NSF award number to demonstrate that your data are registered with IEDA systems and you are compliant with NSF Data Policies.
Authoring Organization(s) Name: 
Interdisciplinary Earth Data Alliance (IEDA)
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Interoperable data - FAIR Data Principle
Metadata
Findable data - FAIR Data Principle
Geoscience data
Persistent Identifiers (PID)
Organizing data
Re-usable data - FAIR Data Principle
Data access
Continuity of access - - Core Trustworthy Data Repositories Requirements
Accessible data - FAIR Data Principle
Community standards
Data handling
Data sharing
Data reuse - Core Trustworthy Data Repositories Requirements
Discovery metadata
Data management
Data lifecycle
Data management planning
Data management planning tools
Data publication
Data portals
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Publisher - organization credited with publishing or broadcasting the learning resource: 
Interdisciplinary Earth Data Alliance (IEDA)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Text - body of a printed work, to include reading passages.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Day (but less than 1 week)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles