Die NFDI4Memory Data Quality Library enthält Artikel, Blogs, Bücher, Videos, Präsentationen usw. zu den Themen Datenqualität und Datenqualitätsmanagement.
Die Literatur wurde von uns thematisch getaggt. Diese Tags beginnen mit “4M_” und stehen neben den von den Autor:innen der Beiträge selbst vorgeschlagenen Tags.
Unsere Tags können Sie der nachstehenden Übersicht entnehmen:
- 4M_Data Cleaning
- 4M_Data Heterogeneity
- 4M_Data Integrity
- 4M_Data Quality Assessment
- 4M_Data Quality Characteristics
- 4M_Data Quality Control
- 4M_Data Quality Criteria
- 4M_Data Quality Dimensions
- 4M_Data Quality Indicators
- 4M_Data Quality Factors
- 4M_Data Quality Management
- 4M_Data Quality Measurement
- 4M_Data Quality Metrics
- 4M_Data Quality Model
- 4M_Data Quality Practices
- 4M_Data Quality Principles
- 4M_Data Quality Problems
- 4M_Data Quality Research
- 4M_Data Quality Standards
- 4M_Data Reliability Measurement
- 4M_Data Life Cycle
- 4M_Information Quality
- 4M_Information Quality Assessment
- 4M_Information Quality Dimensions
- 4M_Information Quality Evaluation
- 4M_Information Quality Management
- 4M_Information Quality Model
- 4M_Information Quality Practices
- 4M_Information Quality Problems
- 4M_Information Quality Research
- 4M_Information Systems
- 4M_Authority Control
- 4M_Archival Indexing
- 4M_Controlled Vocabulary
- 4M_Gemeinsame Normdatei (GND)
- 4M_Indexing
- 4M_Linked Data
- 4M_Linked Open Data (LOD)
- 4M_Semantic Web
- 4M_Thesaurus
- 4M_Metadata Management
- 4M_Metadata Model
- 4M_Metadata Practices
- 4M_Metadata Quality
- 4M_Metadata Standards
- 4M_Data Model
- 4M_Data Model Quality
- 4M_CARE
- 4M_Ethics
- 4M_Research Data Ethics
- 4M_FAIR
- 4M_Copyright Law
- 4M_Data Processing Law
- 4M_Data Formats
- 4M_Data Mining
- 4M_Data Transformation
- 4M_Frameworks
- 4M_International Organization for Standardization (ISO)
- 4M_Knowledge Extraction
- 4M_Quality Control
- 4M_Quality Problems
- 4M_Research Software
- 4M_Research Software Management
- 4M_Semi-structured Research Data
- 4M_Structured Research Data
- 4M_Standards
- 4M_Standards for Archives
- 4M_Standards for Libraries
- 4M_Standards for Museums
- 4M_Standards in Digital Humanities
- 4M_Digital History
- 4M_Digital Humanities
- 4M_Digitization
- 4M_Digital Transformation
- 4M_Nationale Forschungsdaten Infrastruktur (NFDI)
- 4M_NFDI4Biodiversity
- 4M_NFDI4Culture
- 4M_NFDI4Earth
- 4M_NFDI4Health
- 4M_NFDI4Ing
- 4M_NFDI4Memory
- 4M_NFDI4Objects
- 4M_Text+
- 4M_Research Data Management
- 4M_Research Data Management Policy
- 4M_Research Data Practices
- 4M_Data Literacy
- 4M_Data Competence
- 4M_Big Data
- 4M_Machine Learning
- 4M_Quality of Big Data (QBD)
- 4M_Archiving
- 4M_Cataloguing
- 4M_Data Repository
- 4M_Databases
- 4M_Search Modalities
- 4M_Web Archiving
- 4M_Citizen Science
- 4M_Tutorials
- 4M_Data Sovereignty
- 4M_Federated Content Search
- 4M_European Open Science Cloud (EOSC)
- 4M_Open Research Data
- 4M_Open Science
- 4M_Practical Guidelines on Digitisation
- 4M_Deutsche Forschungsgemeinschaft (DFG)
- 4M_Digital Research Infrastructure for the Arts and Humanities (DARIAH)
- 4M_Forschungsdaten in den Geisteswissenschaften (FORGE)
- 4M_Hessische Forschungsdateninfrastrukturen (HeFDI)
- 4M_Rat für Informationsinfrastrukturen (RfII)
- 4M_KONDA
- 4M_Lightweight Information Describing Objects (LIDO)
- 4M_Marburger Informations-, Dokumentations- und Administrations-System (MIDAS)
- 4M_Personal Identifiers (PID)
- 4M_Ressource Description and Access (RDA)
- 4M_Enterprise Perspective
Feedback und Nutzungserfahrungen können Sie gerne jederzeit Dr. Anna-Lena Körfer (anna-lena.koerfer@herder-institut.de), Peggy Große (p.grosse@deutsches-museum.de) und Anna Pravdyuk (anna.pravdyuk@herder-institut.de) zukommen lassen. Wir freuen uns auf Ihren Input!