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While the preservation and sharing of research data are two topics well researched, there is a need to better understand the connections between them, especially from a Swedish perspective. In relation to this, it is interesting to investigate how researchers themselves are involved in these processes – where and how they preserve their data, for what reasons, how they manage their data for preservation and sharing, and furthermore what consequences this might have for the archiving of research data. The method used in this thesis is semi-structured interviews with 10 researchers from various Swedish universities, conducted in person, via Zoom or by e-mail. The researchers were chosen from their sharing activities on research data repositories. The interviews were processed in Taguette, where the data was organized by tags. The tags with their related statements were then organized into themes. Furthermore, a theoretical analysis based on the records continuum model was conducted.  The primary reason that was stated for preservation was data sharing. The researchers expressed a wish for their research data to be reused, as well as stating reasons related to transparency. The researchers also expressed that their data management was influenced by future data sharing. One researcher had archived their data at the university, although most of the participants was positive to doing so in the future. It appears that the researchers in this study takes initiative when it comes to the preservation and sharing of their data. Most of the participants view the data repository as a good platform for preservation, possibly because such platforms can fulfil their reasons for participating in preservation activities. This is a two years master’s thesis in Archival Science.

The aim of the study was to compile a conceptual model of a Virtual Research Environment (VRE) that indicates the relationship between Research Data Management (RDM) and VREs. The outcome of this study was that VREs are ideal platforms for the management of research data. In the first part of the study, a literature review was conducted by focusing on four themes: VREs and other concepts related to VREs; VRE components and tools; RDM; and the relationship between VREs and RDM. The first theme included a discussion of definitions of concepts, approaches to VREs, their development, aims, characteristics, similarities and differences of concepts, an overview of the e-Research approaches followed in this study, as well as an overview of concepts used in this study. The second theme consisted of an overview of developments of VREs in four countries (United Kingdom, USA, The Netherlands, and Germany), an indication of the differences and similarities of these programmes, and a discussion on the concept of research lifecycles, as well as VRE components. These components were then matched with possible tools, as well as to research lifecycle stages, which led to the development of a first conceptual VRE framework. The third theme included an overview of the definitions of the concepts ‘data’ and ‘research data’, as well as RDM and related concepts, an investigation of international developments with regards to RDM, an overview of the differences and similarities of approaches followed internationally, and a discussion of RDM developments in South Africa. This was followed by a discussion of the concept ‘research data lifecycles’, their various stages, corresponding processes and the roles various stakeholders can play in each stage. The fourth theme consisted of a discussion of the relationship between research lifecycles and research data lifecycles, a discussion on the role of RDM as a component within a VRE, the management of research data by means of a VRE, as well as the presentation of a possible conceptual model for the management of research data by means of a VRE. This literature review was conducted as a background and basis for this study. In the second part of the study, the research methodology was outlined. The chosen methodology entailed a non-empirical part consisting of a literature study, and an empirical part consisting of two case studies from a South African University. The two case studies were specifically chosen because each used different methods in conducting research. The one case study used natural science oriented data and laboratory/experimental methods, and the other, human orientated data and survey instruments. The proposed conceptual model derived from the literature study was assessed through these case studies and feedback received was used to modify and/or enhance the conceptual model. The contribution of this study lies primarily in the presentation of a conceptual VRE model with distinct component layers and generic components, which can be used as technological and collaborative frameworks for the successful management of research data. / Thesis (DPhil)--University of Pretoria, 2018. / National Research Foundation / Information Science / DPhil / Unrestricted

Mit dem Ziel, das Publizieren von Artikeln, Forschungsdaten und wissenschaftlicher Software gemäß den FAIR-Prinzipien zu unterstützen, wurde am HZDR ein integriertes Publikationsmanagement aufgebaut. Insbesondere Daten- und Softwarepublikationen erfordern die Entwicklung bedarfsgerechter organisatorischer und technischer Strukturen ergänzend zu bereits sehr gut funktionierenden Services im Publikationsmanagement. In der Zusammenarbeit mit Wissenschaftlern des HZDR und internationalen Partnern in ausgewählten Projekten wurde der Bedarf an Unterstützung im Forschungsdatenmanagement analysiert. Darauf aufbauend wurde schrittweise ein integriertes System von Infrastrukturen und Services entwickelt und bereitgestellt. In einer seit Mai 2018 gültigen Data Policy wurden die Rahmenbedingungen und Regelungen sowohl für wissenschaftliche Mitarbeiter als auch für externe Messgäste definiert. Im Vortrag wird auf die Erfahrungen im integrierten Publikationsmanagement für Artikel, Forschungsdaten und Forschungssoftware eingegangen und daraus resultierend werden die nächsten Aufgaben und Ziele entwickelt.

In diesem 'Snack' stellen wir SaxFDM - die Sächsische Landesinitiative für Forschungsdatenmanagement - und deren Serviceangebote vor.

Die im Rahmen von Forschungsprojekten gewonnenen Forschungsdaten sind eine wesentliche Grundlage der wissenschaftlichen Arbeit. In nahezu allen Fachdisziplinen gewinnen sie immer mehr an Bedeutung. Die Nachvollziehbarkeit und die Qualität wissenschaftlicher Forschung wird durch die Dokumentation, die langfristige Sicherung und Bereitstellung der Forschungsdaten gefördert. Außerdem stellt die Publikation und die langfristige Sicherung von Forschungsdaten bei der DFG, EU und beim BMBF in vielen Fällen eine Voraussetzung für die Förderung von Forschungsvorhaben dar. Was genau sind Forschungsdaten? Was versteht man unter dem FAIR-Prinzip? Offene Forschungsdaten: Welche Vorteile bringen sie für die Forschenden? Wo kann man Forschungsdaten archivieren und veröffentlichen? Welche Services für Forschende der TU Bergakademie Freiberg zum Thema Forschungsdaten bieten die UB Freiberg und die Kontaktstelle Forschungsdaten der SLUB/ZiH Dresden? Diese und weitere Fragen beantworten Manuela Queitsch, Koordinatorin für Forschungsdaten an der SLUB Dresden und Teammitglied an der Kontaktstelle Forschungsdaten in Dresden und Dr. Dana Kuhnert, Fachreferentin für Wirtschafts- und Rechtswissenschaften der UB Bergakademie Freiberg.

Am 28.11.2023 hat der Senat der Technischen Universität Bergakademie Freiberg eine institutionelle Forschungsdaten-Policy verabschiedet, die allen Wissenschaftlerinnen und Wissenschaftlern der Hochschule eine wichtige Orientierungshilfe für den Umgang mit Forschungsdaten bietet.

In dieser Ausgabe wird die Nationale Forschungsdateninfrastruktur (NFDI) in ihrer aktuellen Struktur (Stand Juli 2024) kurz vorgestellt. Es werden Beispiele für Services und Tools der NFDI-Konsortien und Basisdienste genannt, die Forschende für ein erfolgreiches Forschungsdatenmanagement nutzen können.

Presented at the University of Arizona 2016 IT Summit / The past several years has seen an increasing emphasis on providing access to the results of research, both publications and data. The majority of federal grant funding agencies require that researchers include a data management plan as part of their grant proposal. In response, the University of Arizona Libraries, in collaboration with the Office of Research and Discovery and the University Information Technology Services, has been providing data management services and resources to the campus for the past several years. In 2014, we conducted a research data management survey to find out how UA researchers manage their research data, determine the demand for existing services and identify new services that UA researchers need. In the fall of 2015, the Data Management and Data Publication and Curation (DMDC) Pilot was started to determine what specific services and tools, including training and support and the needed technology infrastructure, researchers need to effectively and efficiently manage and curate their research data. This presentation will present what data management services we currently are offering, discuss findings from the 2014 survey, and present initial results from the DMDC pilot.

Philosophiae Doctor - PhD / The emergence and subsequent uptake of Information and Communication Technologies has transformed the research processes in universities and research institutions across the globe. One indelible impact of Information and Communication Technologies on the research process is the increased generation of research data in digital format. This study investigated how research data has been generated, organised, shared, stored, preserved, accessed and re-used in Malawian public universities with a view to proposing a framework for research data management in universities in Malawi. The objectives of the study were: to determine research data creation, sharing and re-use practices in public universities in Malawi; to investigate research data preservation practices in public universities in Malawi; to investigate the competencies that librarians and researchers need to effectively manage research data; and to find out the challenges that affect the management of research data in public universities in Malawi. Apart from being guided by the Community Capability Model Framework (Lyon, Ball, Duke & Day, 2011) and Data Curation Centre Lifecycle Model (Higgins, 2008), the study was inspired by the pragmatic school of thought which is the basis for a mixed methods research enabling the collection of quantitative and qualitative data from two purposively selected universities. A census was used to identify researchers and librarians while purposive sampling was used to identify directors of research. Questionnaires were used to collect mostly quantitative and some qualitative data from 36 librarians and 187 researchers while interviews were conducted with directors of research. The Statistical Package for the Social Sciences was used to analyse the quantitative data by producing percentages, means, independent samples ttest and one-way analysis of variance. Thematic analysis was used to analyse the qualitative data.