This paper is an extended version of a paper to be published in "ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20)"
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
This paper reviews definitions of model quality before introducing five properties of models that ar...
We are living in a world of information abundance, surplus, and access. We have technologies to acqu...
Accompanying presentation to the main track paper "Detecting Quality Problems in Research Data: A Mo...
Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Dr...
This paper is an extended version of a paper to be published in "MoDELS '21: ACM/IEEE 24th Internati...
This presentation presents a catalog of quality problems in research data that are focussed on mater...
Today, data availability has gone from scarce to superabundant. Technologies like IoT, trends in soc...
Reliable empirical models such as those used in software effort estimation or defect prediction are ...
Dealing with data quality related problems is an important issue that all organizations face in real...
In Model-Driven Engineering (MDE), models are the prime artifacts, and developing high-quality syste...
Replication Package for the "Impact of Data Quality for Automatic Issue Classification Using Pre-tra...
Context: - Machine learning is a part of artificial intelligence, this area is now continuously grow...
Research data, associated data models and data transformations are often subject to continuous chang...
This catalog describes quality problems in research data focusing on material cultural objects and r...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
This paper reviews definitions of model quality before introducing five properties of models that ar...
We are living in a world of information abundance, surplus, and access. We have technologies to acqu...
Accompanying presentation to the main track paper "Detecting Quality Problems in Research Data: A Mo...
Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Dr...
This paper is an extended version of a paper to be published in "MoDELS '21: ACM/IEEE 24th Internati...
This presentation presents a catalog of quality problems in research data that are focussed on mater...
Today, data availability has gone from scarce to superabundant. Technologies like IoT, trends in soc...
Reliable empirical models such as those used in software effort estimation or defect prediction are ...
Dealing with data quality related problems is an important issue that all organizations face in real...
In Model-Driven Engineering (MDE), models are the prime artifacts, and developing high-quality syste...
Replication Package for the "Impact of Data Quality for Automatic Issue Classification Using Pre-tra...
Context: - Machine learning is a part of artificial intelligence, this area is now continuously grow...
Research data, associated data models and data transformations are often subject to continuous chang...
This catalog describes quality problems in research data focusing on material cultural objects and r...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
This paper reviews definitions of model quality before introducing five properties of models that ar...
We are living in a world of information abundance, surplus, and access. We have technologies to acqu...
DOI
Add to ORKG