scholarly journals A Generic Research Data Infrastructure for Long Tail Research Data Management

2019 ◽  
Vol 18 ◽  
Author(s):  
Atif Latif ◽  
Fidan Limani ◽  
Klaus Tochtermann
Keyword(s):  
Data Management ◽  
Research Data ◽  
Long Tail ◽  
Data Infrastructure ◽  
Research Data Management

scholarly journals NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany

2020 ◽  
Vol 6 ◽  
Author(s):  
Christoph Steinbeck ◽  
Oliver Koepler ◽  
Felix Bach ◽  
Sonja Herres-Pawlis ◽  
Nicole Jung ◽  
...  
Keyword(s):  
Data Management ◽  
Data Science ◽  
Open Data ◽  
Research Data ◽  
Data Standards ◽  
Data Repositories ◽  
Data Infrastructure ◽  
Research Data Management ◽  
Wide Range ◽  
Chemistry Community

The vision of NFDI4Chem is the digitalisation of all key steps in chemical research to support scientists in their efforts to collect, store, process, analyse, disclose and re-use research data. Measures to promote Open Science and Research Data Management (RDM) in agreement with the FAIR data principles are fundamental aims of NFDI4Chem to serve the chemistry community with a holistic concept for access to research data. To this end, the overarching objective is the development and maintenance of a national research data infrastructure for the research domain of chemistry in Germany, and to enable innovative and easy to use services and novel scientific approaches based on re-use of research data. NFDI4Chem intends to represent all disciplines of chemistry in academia. We aim to collaborate closely with thematically related consortia. In the initial phase, NFDI4Chem focuses on data related to molecules and reactions including data for their experimental and theoretical characterisation. This overarching goal is achieved by working towards a number of key objectives: Key Objective 1: Establish a virtual environment of federated repositories for storing, disclosing, searching and re-using research data across distributed data sources. Connect existing data repositories and, based on a requirements analysis, establish domain-specific research data repositories for the national research community, and link them to international repositories. Key Objective 2: Initiate international community processes to establish minimum information (MI) standards for data and machine-readable metadata as well as open data standards in key areas of chemistry. Identify and recommend open data standards in key areas of chemistry, in order to support the FAIR principles for research data. Finally, develop standards, if there is a lack. Key Objective 3: Foster cultural and digital change towards Smart Laboratory Environments by promoting the use of digital tools in all stages of research and promote subsequent Research Data Management (RDM) at all levels of academia, beginning in undergraduate studies curricula. Key Objective 4: Engage with the chemistry community in Germany through a wide range of measures to create awareness for and foster the adoption of FAIR data management. Initiate processes to integrate RDM and data science into curricula. Offer a wide range of training opportunities for researchers. Key Objective 5: Explore synergies with other consortia and promote cross-cutting development within the NFDI. Key Objective 6: Provide a legally reliable framework of policies and guidelines for FAIR and open RDM.

scholarly journals Research Data Management Tools and Workflows: Experimental Work at the University of Porto

2018 ◽  
Vol 42 (2) ◽  
pp. 1-16
Author(s):  
Cristina Ribeiro ◽  
João Rocha da Silva ◽  
João Aguiar Castro ◽  
Ricardo Carvalho Amorim ◽  
João Correia Lopes ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Sensor Data ◽  
Preliminary Evaluation ◽  
Laboratory Notebook ◽  
Data Repositories ◽  
Long Tail ◽  
Management Platform ◽  
Research Data Management ◽  
The University

Research datasets include all kinds of objects, from web pages to sensor data, and originate in every domain. Concerns with data generated in large projects and well-funded research areas are centered on their exploration and analysis. For data in the long tail, the main issues are still how to get data visible, satisfactorily described, preserved, and searchable. Our work aims to promote data publication in research institutions, considering that researchers are the core stakeholders and need straightforward workflows, and that multi-disciplinary tools can be designed and adapted to specific areas with a reasonable effort. For small groups with interesting datasets but not much time or funding for data curation, we have to focus on engaging researchers in the process of preparing data for publication, while providing them with measurable outputs. In larger groups, solutions have to be customized to satisfy the requirements of more specific research contexts. We describe our experience at the University of Porto in two lines of enquiry. For the work with long-tail groups we propose general-purpose tools for data description and the interface to multi-disciplinary data repositories. For areas with larger projects and more specific requirements, namely wind infrastructure, sensor data from concrete structures and marine data, we define specialized workflows. In both cases, we present a preliminary evaluation of results and an estimate of the kind of effort required to keep the proposed infrastructures running.  The tools available to researchers can be decisive for their commitment. We focus on data preparation, namely on dataset organization and metadata creation. For groups in the long tail, we propose Dendro, an open-source research data management platform, and explore automatic metadata creation with LabTablet, an electronic laboratory notebook. For groups demanding a domain-specific approach, our analysis has resulted in the development of models and applications to organize the data and support some of their use cases. Overall, we have adopted ontologies for metadata modeling, keeping in sight metadata dissemination as Linked Open Data.

scholarly journals Planetary Cartography: Challenges for Mapping and Research Data Management

2021 ◽  
Author(s):  
Andrea Nass ◽  
Stephan van Gasselt ◽  
Alessandro Frigeri ◽  
Angelo Pio Rossi ◽  
Valentina Galluzzi
Keyword(s):  
Remote Sensing ◽  
Data Management ◽  
Spatial Data ◽  
White Paper ◽  
Planetary Science ◽  
Research Data ◽  
Data Infrastructure ◽  
Research Data Management ◽  
Cartographic Coordinates ◽  
Starting Point

<p>The aim of this contribution is to summarize recent activities in the field of Planetary Cartography by highlighting current issues the community is facing, and by discussing future research and development opportunities.</p><p>For this contribution we focus on (1) identifying and prioritizing needs of the planetary cartography community and the possible projected timeline to address these needs, (2) updating on ongoing work and activities in the field of planetary cartography across the globe, and (3) identifying areas of evolving technologies and innovations that could become interesting for the community in the planetary mapping sciences. The topics and discussion presented here also summarize outcome from community discussions and activities over the last years (e.g. [1-10]), and continue the initial discussion we have had during the last successful EGU session on Planetary Cartography and GIS in 2020.</p><p>In particular we would like to extend our discussion and put additional emphasis on aspects of map data re-use and research data management as well as on geodetic aspects of irregular bodies that will be target of future mission programs. We would like to invite cartographers, researchers and map-enthusiasts to join this community and to start thinking about how we can jointly solve some of these challenges.</p><p>[1] Di, K. et al (2020) Topographic mapping of the Moon in the 21th century: From hectometer to millimeter scales. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-2020, doi:10.5194/isprs-archives-XLIII-B3-2020-1117-2020.<br>[2] Hargitai, H. et al (2019) Chinese and Russian Language Equivalents of the IAU Gazetteer of Planetary Nomenclature: an Overview of Planetary Toponym Localization Methods, The Cartographic Journal, 56:4, 335-354, doi:10.1179/1743277413Y.0000000051.<br>[3] <span>Laura, J.R. et al (2017) Towards a </span><span>planetary spatial data infrastructure. ISPRS Journal of Geo-Information 6, 181.</span><br>[4] Naß, A. et al (2019) Status and future developments in planetary cartography<br>and mapping. In: Wu et. al. (ed.) Planetary Remote Sensing and Mapping, Taylor & Francis Group, London, ISBN 978-1-138-58415-0.<br>[5] Naß, A. et al (2020), GMAP Standard definition Document, 1st iteration, Europlanet H2024-RI deliverable, available at https://www.europlanet-gmap.eu/about-gmap/deliverables/.<br>[6] Naß, A. et al (submitted) Facilitating Reuse of Planetary Spatial Research Data – Conceptualizing an Open Map Repository as Part of a Planetary Research Data Infrastructure. Planetary and Space Science.<br>[7] Paganelli, F. et al (2020) The Need for Recommendations in Support of Planetary Bodies Cartographic Coordinates and Rotational Elements Standards, submitted to the Planetary Science and Astrobiology Decadal Survey White Paper 2023-2032.<br>[8] Radebaugh, J. et al (2020) Maximizing the Value of Solar System Data through Planetary Spatial Data Infrastructures, white paper submitted to the 2023–2032 Planetary Science and Astrobiology Decadal Survey.<br>[9] Semenzato, A. et al (2020) An Integrated Geologic Map of the Rembrandt Basin, on Mercury, as a Starting Point for Stratigraphic Analysis. Remote Sensing, 12(19), p.3213.<br>[10] Skinner, J.A. Jr. et al (2019) Planetary geologic mapping—program status and future needs. U.S. Geological Survey Open-File Report 2019–1012, 40 p., doi:10.3133/ofr20191012.</p>

scholarly journals Data meets history: A research data management strategy for the historically oriented humanities

2021 ◽  
pp. 155-178
Author(s):  
Fabian Cremer ◽  
Silvia Daniel ◽  
Marina Lemaire ◽  
Katrin Moeller ◽  
Matthias Razum ◽  
...  
Keyword(s):  
Data Management ◽  
Management Strategy ◽  
Research Data ◽  
Research Data Management

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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