This catalog describes quality problems in research data focusing on material cultural objects and related data models. It has been compiled as part of the KONDA research project. This catalog aims to elicit requirements for a generic quality management process for research data through exchange with the community. The catalog is the result of qualitative interviews and a workshop with cultural heritage data experts. Within the catalog, each quality problem is described by a structured profile that includes aspects such as the quality dimensions affected, examples, causes, and ideas for improvement
A proof-of-concept implementation of a top-down approach to analyzing data quality via anti-patterns...
Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Dr...
Quality concerns play a central role throughout all steps of the research process in qualitative met...
This catalogue describes quality problems in research data that are focussed on material cultural ob...
This presentation presents a catalog of quality problems in research data that are focussed on mater...
Data quality is a much-discussed topic, not only in the NFDI. But what is data quality? The definiti...
Research data, associated data models and data transformations are often subject to continuous chang...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
This work deals with the issue of Data and Information Quality. It critically assesses the current s...
The purpose of the thesis project was to design and implement a quality control process for manual d...
Accompanying presentation to the main track paper "Detecting Quality Problems in Research Data: A Mo...
The goal of this thesis is to produce a tool that allow fast, conclusively calculate impacts of prob...
Data quality is a problem studied in many different research disciplines like computer science, stat...
htmlabstractCarrying out research tasks on data collections is hampered, or even made impossible, by...
This paper is an extended version of a paper to be published in "ACM/IEEE 23rd International Confere...
A proof-of-concept implementation of a top-down approach to analyzing data quality via anti-patterns...
Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Dr...
Quality concerns play a central role throughout all steps of the research process in qualitative met...
This catalogue describes quality problems in research data that are focussed on material cultural ob...
This presentation presents a catalog of quality problems in research data that are focussed on mater...
Data quality is a much-discussed topic, not only in the NFDI. But what is data quality? The definiti...
Research data, associated data models and data transformations are often subject to continuous chang...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
This work deals with the issue of Data and Information Quality. It critically assesses the current s...
The purpose of the thesis project was to design and implement a quality control process for manual d...
Accompanying presentation to the main track paper "Detecting Quality Problems in Research Data: A Mo...
The goal of this thesis is to produce a tool that allow fast, conclusively calculate impacts of prob...
Data quality is a problem studied in many different research disciplines like computer science, stat...
htmlabstractCarrying out research tasks on data collections is hampered, or even made impossible, by...
This paper is an extended version of a paper to be published in "ACM/IEEE 23rd International Confere...
A proof-of-concept implementation of a top-down approach to analyzing data quality via anti-patterns...
Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Dr...
Quality concerns play a central role throughout all steps of the research process in qualitative met...