Earth Cube Charrette Features

A. Dataset and Workflow Discovery

A1: Registration of datasets or workflows (with input parameters) into shared collections or global catalogs
A2: Upload & publish workflows and data sets
A3: Search across multiple granularity levels & disciplines for workflows and datasets (using semantic metadata and provenance information when appropriate)
A4: Data subscription services

Summarized from 6, 63, 67, 76, 80, 89, 93, 98, V3, V27, V28

B. Metadata for Workflow and Data Sets

B1: Automated provenance tracking and tracking of data updates (versioning)
B2: Commenting, annotating, rating, and categorization of workflows, data sets, or models (both automatic and manual)
B3: Computational environment provenance stored including code, configurations, input and metadata, with a goal toward reproducibility

Summarized from 11, 14, 21, 22, 27, 43, 47, 68, 69, 70, 73, 74, 82, 86, 88, 95, 97, V1, V6, V9, V26

C. Data Security and Trust

C1: Provide single sign-on environment for shared collections spanning administrative domains
C2: Flexible access & sharing controls (licensing) of data, models & workflows
C3: Issue tracker for problems with data or workflows
C4: Protect individual property rights
C5: Data trust: ability for users to track data that needs further explanation or is suspect, fault tolerances, automated tools for validation

Summarized from 16, 18, 57, 64, 75, 76, 84, 92, 96, V7, V20 Closely related to items in F. Data Management within Workflows and M. Policy Enforcement Processes

D. Data Access Services

D1: Reusable/shared/standard software interfaces for disparate data types
D2: Brokering interfaces to manage access to data using disparate storage and all protocols
D3: Deliver data in user-requested format and translation between standards
D4: Real-time access to data and facilities even in low bandwidth settings
D5: Networking and linkage of existing data sets
D6: Data curation: Long term preservation, integrity, authenticity & chain of custody

From capabilities list: 1, 2, 3, 5, 7, 13, 17, 62, 63, 65, 66, 72, V1, V2, V20, V30, V31 Closely related to items in I. Numerical methods and software engineering

E. Workflow Execution Management

E1: Manage workflow execution in distributed environment – conditional execution, integration with server-side and compute side, interactive
E2: Combine components from multiple existing workflow systems or models

Summarized from 29, 33, 47, 77, 78, 79, 83, 85, 90, 94, V10, V24, V30

F. Data Management within Workflows

F1: Caching of intermediate workflow results
F2: Automatically propagate uncertainty through workflows
F3: Move workflows to data when more sensible
F4: Automation of QC/QA procedures where feasible

Summarized from 81, 87, 91, V25 See also C. Data Security and Trust

G. Modeling Standards and Frameworks

G1: Joint 4D framework for interdisciplinary models, data & information
G2: Community-based/policed repositories, standards and governance structures for EC compliant tools, and applications that are promulgated
G3: A means to discover, publish and reuse computational models within the EarthCube framework
G4: The ability to compose and integrate models or to extend models into scientific workflows

Summarized from capabilities: 25, 26, 28, 34, 35, 37, 42

H. Modeling Capabilities within Cloud, Grid, HPC, and Science Portals

H1: Web service creation and publishing
H2: Intelligent data query, retrieval, download and interaction
H3: Interacting gridding/regridding, visualization and other manipulation and analysis tools
H4: Real-time simulation capabilities and flexible access to high performance computing

Summarized from capabilities: 30, 31, 36, 39, 40, 41, 45, 46

I. Numerical Methods and Software Engineering

I1: Experimental facilities and data for model validation
I2: Automated software building and validation to ensure stable software releases (e.g. the NMI build-test lab)
I3: Standard APIs and model description standards that enable the creation of better and more reliable tools
I4: Fault tolerance and reliability built into archival and other systems

Summarized from capabilities: 23, 38, V13, V14, V15, V16 Closely related to items in L. Best Practices and D. Continuity, sustainability, and evolution

J. Tools to Probe, Validate, Verify, and Visualize Data

J1: 4D integration of high resolution topography scans & geodetic data
J2: Integration of geologic data in deep time
J3: Fusion tools that support integration, assimilation & regridding
J4: Data mining tools and techniques

Summarized from capabilities: 4, 8, 9, 10, 12, 48, 71, 72

K. Broad Participation: Enable Collaboration and Participation from International, Industry, Academic, NGO and other Domain Partners

K1: Linkage with NEON, LTER, state geological surveys, and other communities
K2: Low barrier to participation and mechanisms to ensure individual/small voices are heard
K3: Outreach to encourage new collaborations

Summarized from capabilities: 32, 52, 54, 59, 60, 61, V18, V19, V29, V31

L. Best Practices & Governance Models for the Development of Definitions & Standards

L1: Community identification & commission of programs of work that are deemed important
L2: Standards for gridding in models/datasets
L3: Standards and best practices for formal data publication and citation

Summarized from capabilities: 55, 58, 99, V4, V5, V8 Closely related to items in I. Numerical methods and software engineering

M. Policy Enforcement Processes

M1: Archival policies for integrity, authenticity, versioning, provenance
M2: Quality assurance policies
M3: Role of publishing houses of scientific literature and engagement to drive compliance with community agreed-upon standards
M4: Role of funding agencies in driving compliance with community agreed-upon standards
M5: Ensure community consensus
M6: Consensus driven decision making

Summarized from 5, 15, 19, 20, 22, 43, 50, 53, 56, V22 Closely related to items in C. Data Security and Trust

N. Continuity, Sustainability, & Evolution

N1: Social networking sites to support knowledge sharing between disparate teams of computer science/geo scientists
N2: Global catalogs /directories for data, software, models, workflows, etc.
N3: Linkage with NEON, LTER, state geological surveys, and other communities
N4: Fault tolerance and reliability built into archival and other systems
N5: Usage tracking for tools and datasets
N6: User support services
N7: Reward systems for all project roles and contributions
N8: Long-term financial sustainability planning