Trust Common Vision

To-> Authenticity Provenance Logs People Data Reputation Annotation PersistentID Testing Peer review
Authenticity         Authenticity is evaluated for data          
Provenance Provenance provides evidence to support claims of authenticity Provenance for one object is associated with provenance of predecessor objects
Provenance may be encoded in different ways
Provenance models can be used
for logging purposes.
Provenance models should also modeling the physical context
and that includes persons
(CIDOC CRM and CRMdig allow this).
Provenance is associated with data instances The provenance of data is crucial
for the credibility (reputation)
of data, especially in e-science.
In many cases annotations are used for documenting the provenance of the various artifacts. The models discussed in the first part of ID2401
can be adopted for that need.
The rule-based approach that is investigated in the second part of the same deliverable, could be adopted by a system that manages annotations for reducing the number of annotations that have to be stored and managed.
Logs Logs provide evidence to support claims of authenticity     People may have access create log entries or to change logs            
People People make judgements about authenticity People create some types of provenance     People create data People make judgements about reputation.
People will have some type of reputation.
People create some types of annotation People support PI systems   People undertake peer reviews
Data Has associated claims made about it of authenticity Data has provenance i.e. has been created in some way by some people or systems using some inputs   Data is used by people Data is used to create new data Data may have a reputation e.g. as particularly useful or up to date Data may have various types of reputation Data may have persistent IDs associated with them   Data may be peer reviewed
Reputation Reputation may depend on evaluations of authenticity Reputation may be determined by provenance   Reputation may be determined by provenance     Reputation may evolve from annotations Reputation is associated with persistent IDs.
Different PI systems may have different reputations
Annotation   Annotation may be a type of provenance   Annotation is created by people Annotation is made to data

Annotation is a type of data
Annotation contributes to reputation Annotation may itself be annotated Annotations may be associated with PIs   Annotation may be the outcome of peer review
PersistentID   The entities that participate in provenance graphs (information carriers and objects, actors, events, activities, etc) certainly need an identification mechanism. This issue becomes indispensable in distributed settings (distributed production processes).   PIs may be used to identify people PIs may be used to identify data

PIs are a type of data
Peer review       Peer review may be applied to people and their outputs Peer review may be applied for data Peer review may establish reputation        
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Topic revision: r2 - 2012-03-20 - YannisTzitzikas
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