All Stories

  1. Future Directions
  2. Human-in-the-Loop and Participatory Approaches to Trustworthy AI
  3. Research Guru AI
  4. Immersive Training for the AI-Enabled Factory
  5. Algorithmic Project Mastery
  6. Intelligent Facilitation
  7. Research Rewired AI in Computing
  8. OpenQA Solutions for Future-Ready Business Excellence
  9. From Dataflows to Decisions
  10. Dialogic Knowledge in AI Systems
  11. Von der Literaturflut zur Erkenntnis: Research Guru AI als Katalysator für die Zukunft wissenschaftlicher Analyse
  12. From Data Silos to FAIR Research: Interoperability and Integration in European CRIS
  13. AI4Knowledge: Shaping the Future of Research Data Systems
  14. AI-Driven Coding
  15. Information systems and ethical issues
  16. AI Meets Data Science: Preprocessing and Feature Selection Reimagined
  17. A CRISP-DM and Predictive Analytics Framework for Enhanced Decision-Making in Research Information Management Systems
  18. Streamlining Research Information Management with Large Language Models: Automation, Analysis, and User-Centric Solutions
  19. Green Technologies
  20. Empowering IT-Supported Research Management: Leveraging Data Science Methods for Informed Decisions
  21. Modeling and Visualizing Human Experience in a Knowledge Graph: Understanding and Predicting Emotional Reactions to Life Events
  22. Datenmanagement 4.0: Künstliche Intelligenz als Treiber für innovative Forschungsinformationssysteme
  23. Linked open research information on semantic web: Challenges and opportunities for Research information management (RIM) User's
  24. A Decision Model for IT-Supported Research Management Based on Cutting-Edge Data Science Technologies
  25. New Developments in Research Data Management - The Potential of AI
  26. Revolutionary Synergy: The Fusion of Data Mesh and Data Fabric for Strategy Analytics in GRAPHYP Knowledge Graph
  27. Synergizing AHP and Cooperative Information Systems for Effective Research Management
  28. Can generative AI transform data quality? a critical discussion of ChatGPT’s capabilities
  29. Security of AI-Powered Systems: Threat Intelligence on the Edge
  30. Digitalisierung im Forschungsmanagement – Potenziale, Herausforderungen & Entscheidungsmodelle
  31. Responsible Research Assessment and Research Information Management Systems
  32. Das Nacaps-Datenportal – Potenziale, Besonderheiten und Datenqualität in interaktiven digitalen Reportings
  33. Ethical aspects using AI in CRIS
  34. From Open Repositories to CRIS - A Case Study
  35. Knowledge Graphs – The Future of Integration in CRIS Systems for Uses of Assistance to Scientific Reasoning
  36. Smart Data Stewardship: Innovating Governance and Quality with AI
  37. 10 Ethical Dimensions of Research Information Management: A New Challenge for Information Professionals
  38. Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication
  39. Predictive Analytics intelligent decision-making framework
  40. Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making
  41. A Multiverse Graph to Help Scientific Reasoning from Web Usage: Interpretable Patterns of Assessor Shifts in GRAPHYP
  42. NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside?
  43. FAIRification of CRIS: A Review
  44. Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations
  45. Supporting research information management: overcoming the inherent culture gap between traditional library ethics and the management of CRIS systems
  46. Retrieving Adversarial Cliques in Cognitive Communities: A New Conceptual Framework for Scientific Knowledge Graphs
  47. Definition and assessment of the maturity of transparency of open data ecosystems in smart cities
  48. Forschungsinformationssysteme und Ethik: eine doppelte Herausforderung
  49. A Record Linkage-Based Data Deduplication Framework with DataCleaner Extension
  50. RecSys Pertaining to Research Information with Collaborative Filtering Methods: Characteristics and Challenges
  51. Proof of concept to secure the quality of research data
  52. Les systèmes d’information recherche : un nouvel objet du questionnement éthique
  53. Apache Spark and MLlib-Based Intrusion Detection System
  54. Big Research Information in Data Lake
  55. Putting FAIR Principles in the Context of Research Information
  56. Einleitung
  57. Ermittlung der Nutzerakzeptanz von FIS
  58. Konzeptionelle Grundlagen
  59. Proof-of-Concept
  60. Untersuchung der Datenqualität in FIS
  61. Zusammenfassung und Ausblick
  62. Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS
  63. Legal aspects and data protection in relation to the CRIS system
  64. Research Information Systems and Ethics relating to Open Science
  65. Untersuchungen zur Datenqualität und Nutzerakzeptanz von Forschungsinformationssystemen
  66. Datenqualität und -kuratierung als Voraussetzung für Open Research Data
  67. Without Data Quality, There Is No Data Migration
  68. Rewarding Research Data Management
  69. Künstliche Intelligenz als fundierte Entscheidungshilfe in Datenbanken wie CRIS
  70. Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM
  71. Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19
  72. Evaluating the scientific impact of research infrastructures: The role of current research information systems
  73. Current research information systems and institutional repositories: From data ingestion to convergence and merger
  74. Trustworthy or not? Research data on COVID-19 in data repositories
  75. Research Ethics, Open Science and CRIS
  76. Mapping and semantic interoperability of the German RCD data model with the Europe-wide accepted CERIF
  77. Treatment of Bad Big Data in Research Data Management (RDM) Systems
  78. Data Wrangling in Database Systems: Purging of Dirty Data
  79. How to Inspect and Measure Data Quality about Scientific Publications: Use Case of Wikipedia and CRIS Databases
  80. Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems
  81. Influence of Information Quality via Implemented German RCD Standard in Research Information Systems
  82. Text and Data Quality Mining in CRIS
  83. Implementation and user acceptance of research information systems
  84. A Text and Data Analytics Approach to Enrich the Quality of Unstructured Research Information
  85. Research Intelligence (CRIS) and the Cloud: A Review
  86. Solving problems of research information heterogeneity during integration – using the European CERIF and German RCD standards as examples
  87. ETL Best Practices for Data Quality Checks in RIS Databases
  88. Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries
  89. Quality of Research Information in RIS Databases: A Multidimensional Approach
  90. Analyzing data quality issues in research information systems via data profiling
  91. Data measurement in research information systems: metrics for the evaluation of data quality
  92. The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-Up Companies: A Case Study