Replication Data for: Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset in this publication demonstrates the implementation and capabilities of Synchronic Curation (SC) in ASTRIAGraph. SC is a framework to curate multiple and large datasets for purposes of integration and reuse in research applications. Data driven applications often require data integrated from different large and continuously updated collections. These collections may present gaps and overlaps, or may conflict with or complement each other. Thus, a curation need is to continuously assess if data are fit for integration and reuse. The SC framework involves processing steps to map different collections to a unifying data model that represents research problems in a scientific area as well as the collections' provenance. Data points from the collections that are integrated to the system are mapped to the data model, and a unifie' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Aerospace Engineering","Data Curation","Data Management","Data Modeling","Space Sustainability"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset in this publication demonstrates the implementation and capabilities of Synchronic Curation (SC) in ASTRIAGraph. SC is a framework to curate multiple and large datasets for purposes of integration and reuse in research applications. Data driven applications often require data integrated from different large and continuously updated collections. These collections may present gaps and overlaps, or may conflict with or complement each other. Thus, a curation need is to continuously assess if data are fit for integration and reuse. The SC framework involves processing steps to map different collections to a unifying data model that represents research problems in a scientific area as well as the collections' provenance. Data points from the collections that are integrated to the system are mapped to the data model, and a unifie' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset in this publication demonstrates the implementation and capabilities of Synchronic Curation (SC) in ASTRIAGraph. SC is a framework to curate multiple and large datasets for purposes of integration and reuse in research applications. Data driven applications often require data integrated from different large and continuously updated collections. These collections may present gaps and overlaps, or may conflict with or complement each other. Thus, a curation need is to continuously assess if data are fit for integration and reuse. The SC framework involves processing steps to map different collections to a unifying data model that represents research problems in a scientific area as well as the collections' provenance. Data points from the collections that are integrated to the system are mapped to the data model, and a unifie
Aerospace Engineering; Data Curation; Data Management; Data Modeling; Space Sustainability