Prof. Dr. Heinz Pampel

Prof. Pampel erforscht derzeit die Infrastrukturen und Praktiken des offenen Zugangs zu wissenschaftlichen Publikationen und Forschungsdaten in Deutschland. Seine aktuellen Projekte konzentrieren sich auf die Professionalisierung von Open-Access-Repositorien, die Erfassung und Analyse von Publikationskosten an Forschungseinrichtungen, die langfristige Archivierung wissenschaftlicher Blogs sowie die Rolle von Künstlicher Intelligenz in der wissenschaftlichen Kommunikation. Für Universitäten, Forschungsinstitute und Bibliotheken bietet er Handlungsempfehlungen und Datengrundlagen zur strategischen Gestaltung der Open-Access-Transformation und zur Sicherung wissenschaftlicher Integrität in digitalen Infrastrukturen.

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• Professionalisierung der Open-Access-Repositorien-Infrastruktur ni Deutschland (Pro-OAR-DE)

  Quelle ↗

  Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 09/2023 - 08/2026 Projektleitung: Prof. Dr. Heinz Pampel

• Datenpraxis zur Gestaltung der Open-Access-Transformation - Analyse, Empfehlung, Training & Vernetzung (OA Datenpraxis)

  Quelle ↗

  Förderer: DFG Sachbeihilfe Zeitraum: 02/2024 - 04/2027 Projektleitung: Prof. Dr. Heinz Pampel

• Kooperative Informationsinfrastruktur für wissenschaftliche Blogs (Infra Wiss Blogs)

  Quelle ↗

  Förderer: DFG sonstige Programme Zeitraum: 03/2024 - 09/2026 Projektleitung: Prof. Dr. Heinz Pampel

• Making Research Data Repositories Visible: The re3data.org Registry

  2013

  PLoS ONE · DOI

  Researchers require infrastructures that ensure a maximum of accessibility, stability and reliability to facilitate working with and sharing of research data. Such infrastructures are being increasingly summarized under the term Research Data Repositories (RDR). The project re3data.org-Registry of Research Data Repositories-has begun to index research data repositories in 2012 and offers researchers, funding organizations, libraries and publishers an overview of the heterogeneous research data repository landscape. In July 2013 re3data.org lists 400 research data repositories and counting. 288 of these are described in detail using the re3data.org vocabulary. Information icons help researchers to easily identify an adequate repository for the storage and reuse of their data. This article describes the heterogeneous RDR landscape and presents a typology of institutional, disciplinary, multidisciplinary and project-specific RDR. Further the article outlines the features of re3data.org, and shows how this registry helps to identify appropriate repositories for storage and search of research data.

• Open Research Data: From Vision to Practice

  2013

  DOI

  “To make progress in science, we need to be open and share.” This quote from Neelie Kroes (2012), vice president of the European Commission describes the growing public demand for an Open Science. Part of Open Science is, next to Open Access to peer-reviewed publications, the Open Access to research data, the basis of scholarly knowledge. The opportunities and challenges of Data Sharing are discussed widely in the scholarly sector. The cultures of Data Sharing differ within the scholarly disciplines. Well advanced are for example disciplines like biomedicine and earth sciences. Today, more and more funding agencies require a proper Research Data Management and the possibility of data re-use. Many researchers often see the potential of Data Sharing, but they act cautiously. This situation shows a clear ambivalence between the demand for Data Sharing and the current practice of Data Sharing. Starting from a baseline study on current discussions, practices and developments the article describe the challenges of Open Research Data. The authors briefly discuss the barriers and drivers to Data Sharing. Furthermore, the article analyses strategies and approaches to promote and implement Data Sharing. This comprises an analysis of the current landscape of data repositories, enhanced publications and data papers. In this context the authors also shed light on incentive mechanisms, data citation practises and the interaction between data repositories and journals. In the conclusions the authors outline requirements of a future Data Sharing culture.