Sentence examples for data producer from inspiring English sources

It adopts a topic-based publish-subscribe communication model, in which the data producer (i.e., the publisher) does not send data directly to its consumers (i.e., the subscribers).

Other papers included in this issue discuss in considerable detail various aspects of the data producer communityʼs efforts to improve the evaluation methods and to add covariance content to the ENDF/B library.

In a nutshell, QoC is a Quality of Service related to context information distribution services, while CDDLA is a quality contract that is established between any data producer and consumer and that is enforced by the middleware.

1 In the terminology of the data producer, we have used the Integrated File that merges all countries with comparable data, edition 4.3. 2 We used weighted data when computing these percentages of non-response items.

After scientists locate the data of interest, personal conversation and discussion with the original data producer(s) or collector(s), if possible, are always helpful by revealing first-hand information and subtle details of the data collection, including the fundamental assumptions, processing history, and native context that are essential for rigorous research inquiries.

The combinations were filtered for quality: firstly through the Quality Control score (removing those with a score of above 4) of the data producer [38], then by removing extreme values (top and bottom 2.5% of values sorted by Gamma) on a case by case basis, by checking whether their surfaces appeared unlikely to be genuine (for an example, see Fig. 4).

The data producers are encouraged to produce a citable statement or "marker paper" in which they describe the data set and their intentions in respect of analysis and publication.

However, unlike those projects, ours is not consortium-based and our position as a third party to the data producers imposes additional considerations that must be addressed: Data identification and collection.

On the flip side, there is a need to protect the privacy of individual "data producers" in a world where every move can be tracked and algorithms can identify "anomalies" in human behaviour.

The AS has its own SIs (data producers) and Clients interested in sensed data (data consumers).

They struggle to keep up with these data producers, when that, after all, is their job.