Ecosystem Approach Community of Practice: SPREAD

SPREAD Profile

The SPatial REallocation of Aquatic Data (SPREAD) aims to provide the conversion of geospatial explicit data from one resolution to another.

The Use Cases were already descibed in D4ScienceAn e-Infrastructure operated by the D4Science.org initiative.-II, and can be found under the Advanced Curation Use Case.

It was included under ICIS Advanced Curation because in the context of D4ScienceAn e-Infrastructure operated by the D4Science.org initiative.-II, the starting point for a re-allocation is a TS-Object, and the re-allocation was perceived as a precision of geospatial location of a reported capture without much reasoning or change of the reported values.

A progress report on SPREAD accomplishments and opportunities can be found on BSCW (SPREAD120207.docx).

Problem

Describe the CoPCommunity of Practice. issue to be addressed by the Componenent (VREVirtual Research Environment. / service / resource / etc)

Product

Describe the proposed solution in maximum 3 sentences: With SPREAD data

Priority to CoPCommunity of Practice.: List proposed solution priority following the iMarine Board priority setting criteria:

• Identified community: Users now:
• Potential for co-funding:
• Structural allocation of resources:
• Referred in DoW:
• Business Cases:
• How does the proposed action generally support sustainability aspects
• How consistent it is with EC regulations/strategies (eg INSPIRE, ... ):
• Re-usability – benefits – compatibility

Parentage: Relation to CoPCommunity of Practice. Software Relation to D4S technologies

Does the proposed solution solve other problems associated with EA-CoPCommunity of Practice. Business Cases?

If the proposed solution can be used in another SW scenario (not users!) please describe.

Public: How big is the expected user community after delivery?

Productivity: Are the proposed measures effective?

Does it reduce a known workload?

Price: Is the proposed solution cheap?

Expected effort in PM:

Presentation: How is the component delivered to users? (Design / on-line help / training material / support).

Privacy: Are they safe? Need the proposed solution to manage confidential info at data / dataset / organizational level? Describe security and privacy issues:

Policy: Are there any policies available that describe data access and sharing? Are these really needed? Copyright / attribution / metadata / legal

Pericolo: Do they introduce moral hazard? (A hazard here is the risk that users will behave more recklessly if they are insulated from the effects of the software, or if they do noit understand what it produces, where data come from, what they represent etc. .)