This dataset documents findings form a survey on the status quo of data quality assurance practices at research data repositories. The personalized online survey was conducted among repositories indexed in re3data in 2021. It covered the scope of the repository, types of data quality assessment, quality criteria, responsibilities, details of the review process, and data quality information, and yielded 332 complete responses. The dataset comprises a documentation file, the data file, a codebook, and the survey instrument. The documentation file (documentation.pdf) outlines details of the survey design and administration, survey response, and data processing. The data file (01_survey_data.csv) contains all 332 complete responses to 19 sur...
This survey aims to investigate research data management practices in academic institutions. The sur...
SurveyThis is a research survey created with the goals of operationalizing quality metadata and meta...
The aim of this review is to highlight issues in data quality research and to discuss potential rese...
Data quality assurance is a central aspect of data curation, as it ensures that data are valid, reli...
Quality assurance is a central challenge when sharing research data, as it ensures that data are val...
This paper presents findings from a survey on the status quo of data quality assurance practices at ...
The slides were presented at the re3data COREF / CoreTrustSeal Workshop on Data Quality Management a...
This survey aims to investigate research data management practices at EPFL and integrate their resul...
Amid the pressure and enthusiasm for researchers to share data, a rapidly growing number of tools an...
Conceptualizing data quality : respondent attributes, study architecture, and institutional practice...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
Data quality assessments (DQA) are necessary to ensure valid research results. Despite the growing a...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
The slides were presented at the re3data COREF / CoreTrustSeal Workshop on Data Quality Management a...
OBJECTIVE: Data quality (DQ) must be consistently defined in context. The attributes, metadata, and ...
This survey aims to investigate research data management practices in academic institutions. The sur...
SurveyThis is a research survey created with the goals of operationalizing quality metadata and meta...
The aim of this review is to highlight issues in data quality research and to discuss potential rese...
Data quality assurance is a central aspect of data curation, as it ensures that data are valid, reli...
Quality assurance is a central challenge when sharing research data, as it ensures that data are val...
This paper presents findings from a survey on the status quo of data quality assurance practices at ...
The slides were presented at the re3data COREF / CoreTrustSeal Workshop on Data Quality Management a...
This survey aims to investigate research data management practices at EPFL and integrate their resul...
Amid the pressure and enthusiasm for researchers to share data, a rapidly growing number of tools an...
Conceptualizing data quality : respondent attributes, study architecture, and institutional practice...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
Data quality assessments (DQA) are necessary to ensure valid research results. Despite the growing a...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
The slides were presented at the re3data COREF / CoreTrustSeal Workshop on Data Quality Management a...
OBJECTIVE: Data quality (DQ) must be consistently defined in context. The attributes, metadata, and ...
This survey aims to investigate research data management practices in academic institutions. The sur...
SurveyThis is a research survey created with the goals of operationalizing quality metadata and meta...
The aim of this review is to highlight issues in data quality research and to discuss potential rese...