The phrase "a collaborative data" is not correct in standard written English.
The term "data" is typically treated as a plural noun in formal contexts, so it should be "collaborative data" without the article "a."
Example: "The collaborative data collected from various teams helped improve the project's outcome."
Alternatives: "shared data" or "joint data."
"DataPad at its core is a collaborative data discovery tool," says McKinney.
We present the architecture of a collaborative data sharing framework which comprises of two services, namely SmartParcel and CollabAssure.
Xu et al. [19] have proposed a collaborative data collection scheme, which employing opportunistic in-network recoding in a disruptive network environment [20].
However, it is still unknown what features should be supported within a collaborative data analysis system on a touch-table in order to reliably gain these benefits.
Since this is a collaborative data analysis, certain lifestyle variables such as physical activity were recorded differently in different studies.
These veterinarians clearly spoke of the scores as a 'diagnostic tool' related to each individual treatment decision rather than being part of a collaborative data collection.
Thus, a collaborative, data-enabled eScience infrastructure must provide: A virtual observatory that brings data together A virtual organization that brings people together One or more collaboration modes/environments that should unite virtual observatories and virtual organizations.
The Eurolight project, a collaborative data-collection exercise in ten countries of Europe initiated by the Center of Public Health Research (CRP-Santé) Luxembourg and supported by the European Agency for Health and Consumers (EAHC), was designed to address this knowledge gap.
Wikipedia is increasingly used as a platform for collaborative data curation, but its current technical implementation has significant limitations that hinder its use in biocuration applications.
By transforming the established document oriented information exchanges that are typically used in EICS projects to a more collaborative data-sharing environment, processes were streamlined and errors, as a result of duplication and inconsistency, were significantly prevented from occurring.
Necto 16 also provides users with a smart, personalized and collaborative data discovery engine, presented via highly visual and dynamic infographics.
