‭Review Published Versions 1 Vol 3 (1) : 79-87 2021
On the Complexities of federating Research Data Infrastructures
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Abstract & Keywords
Abstract: Federated Research Data Infrastructures aim to provide seamless access to research data along with services to facilitate the researchers in performing their data management tasks. During our research on Open Science (OS), we have built cross-disciplinary federated infrastructures for different types of (open) digital resources: Open Data (OD), Open Educational Resources (OER), and open access documents. In each case, our approach targeted only the resource “metadata”. Based on this experience, we identified some challenges that we had to overcome again and again: lack of (i) harvesters, (ii) common metadata models and (iii) metadata mapping tools. In this paper, we report on the challenges we faced in the federated infrastructure projects we were involved with. We structure the report based on the three challenges listed above.
Keywords: Metadata; Harvesting; Repository federation; Research data infrastructures
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Article and author information
Cite As
Latif, A., Limani, F., Tochtermann, K.: On the complexities of federating research data infrastructures. Data Intelligence 3(1), 79-87 (2021). doi: 10.1162/dint_a_00080
Atif Latif
A. Latif contributed in conceptualization of paper idea and writing of Sections 1, 2 and 3 with contribution to Section 4.
Atif Latif received his PhD degree in Computer Science with a focus on linked Open Data (OD) research from Graz University of Technology, Austria in 2011. Dr. Latif was affiliated with the Institute of Knowledge Management and Know-Center, Austria’s COMET Competence Center for Knowledge Management. His main research areas are linked OD, OS and digital libraries. Since 2012, he has been associated with the Leibniz Information Centre for Economics (ZBW) where he investigated on solutions to apply semantic and linked data technologies in digital library settings. Currently, he is researching on applications of FAIR principle, metadata standards and data management practices in the domain of digital data infrastructures and OS.
Fidan Limani
F. Limani contributed in writing Sections 1, 2 and 3 with contribution to Section 4.
Fidan Limani, with a background in computer science and information systems, has been engaged with (national) research data infrastructure projects since 2017. This includes research data management aspects and service implementation for different research communities, with foci on analysis and implementation of metadata standards, conception and implementation of automatic metadata generation, automatic metadata linking to standard bibliographic data, and so on. Another part of his research includes the application of semantic Web/linked data technologies as integration means for different scholarly research deliverables into (digital) library environments. He previously worked as a research and teaching assistant at the computer science department of the South East European University in Macedonia for 10 years.
Klaus Tochtermann
K. Tochtermann conceived the paper idea and contributed in Sections 2 and 3 along with writing of Section 4.
Klaus Tochterman has been director of the ZBW - Leibniz Information Centre for Economics in Kiel and Hamburg (Germany) since 2010. He also holds a full professor position for Digital Information Infrastructures in the Computer Science Department at Christian-Albrechts-University Kiel (Germany). His current research focus is on research data infrastructures and OS. Klaus Tochtermann has repeatedly held guest professorships abroad, such as at the University of St. Gallen (Switzerland) or the Universiti Teknologi MARA (UiTM) in Kuala Lumpur (Malaysia). In December 2020, he was elected as member of the Board of Directors of the EOSC Association.
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Published: May 9, 2021 (Versions1
Data Intelligence