*Due to the large number of submissions in Category 2: Computational Tools and Services, proposals have been grouped into 3 sub-categories 2A, 2B, 2C.
Proposals for Review Panel 2A
Proposals for Review Panel 2B
Proposals for Review Panel 2C
Computational Tools and Services include SDLC processes, tools, and services that move data through the SDLC, related human and machine interactions, and interactions with data through technology.
Detailed descriptions of each of the SDLC processes illustrated as vertical elements in the CDI SSF are as follows:
- Planning – A documented sequence of intended actions to identify and secure resources and gather, maintain, secure, and utilize data assets;
- Acquisition – The series of actions for collecting or adding to data assets;
- Processing – A series of actions or steps performed on data to verify, organize, transform, integrate, and extract data in an appropriate output form for subsequent use;
- Analysis – A series of actions and methods performed on data that help describe facts, detect patterns, develop explanations, and test hypotheses;
- Preservation – Actions and procedures to keep data for some period of time; to set data aside for future use; and
- Publishing/Sharing – To prepare and issue, or to disseminate data or information products.
Horizontal elements in the SSF representing the ‘what’ of the CDI are also encompassed under
SSF Category 2 and include:
- Applications – human readable data services and user interfaces to data driven applications.
- Semantics – that categorize or describe data so that they can be reliably discovered and unambiguously interpreted by humans and machines such as Machine Readable Metadata, Semantic Mediation for Data Integration & Discovery, ontologies and vocabularies, and World Wide Web Consortium Standards.
- Web Services – that include machine to machine data exchange, SOAP2, REST3, SPARQL4
EndPoints, and other protocols and services.
Proposals submitted under the Computational Tools and Services category (SSF2) should be primarily technical in scope. This may include development of applications, Web services, semantics, or combinations of technologies centered upon the advancement of data discovery and integration.
Examples of technological solutions, tools and services include software applications, Web services, data discovery tools, models, semantic services and tools, cyber-infrastructures, data brokers, and visualization tools.