2022
DOI: 10.3390/rs14071598
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Approach towards a Holistic Management of Research Data in Planetary Science—Use Case Study Based on Remote Sensing Data

Abstract: In the planetary sciences, the volume of remote sensing data and derived research products has been continuously increasing over the last five decades. The amount and complexity of data require growing sophistication in data analysis, data management, and data provision targeted at a growing research community. In order to efficiently manage and facilitate the reuse of research data and to provide stable and long-term access, sustainable research data solutions are needed. We here present a prototype for struc… Show more

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Cited by 3 publications
(3 citation statements)
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“…RDM does not only provide a framework or container for how to collect data in an archive, but it also allows data to be reintegrated into a research-data cycle. Along with that comes the maintenance of rich and useful metadata for data products, their development, and their transformation [81][82][83][84][85]. In that connection, frameworks related to data lineage became of major importance to trace the source (provenance) and transformation, including validity, of data within research domains [86][87][88][89].…”
Section: Research Data Management and Data Lineagementioning
confidence: 99%
“…RDM does not only provide a framework or container for how to collect data in an archive, but it also allows data to be reintegrated into a research-data cycle. Along with that comes the maintenance of rich and useful metadata for data products, their development, and their transformation [81][82][83][84][85]. In that connection, frameworks related to data lineage became of major importance to trace the source (provenance) and transformation, including validity, of data within research domains [86][87][88][89].…”
Section: Research Data Management and Data Lineagementioning
confidence: 99%
“…Two contributions in this Special Issue address this topic in more detail. In [15], Nass et al present a prototype to address the evolving need to efficiently query and manage complex data in the world of planetary remote sensing. The contribution introduces a web-based information management system and showcases its concepts and functionality.…”
Section: Research Data Managementmentioning
confidence: 99%
“…Mapping and spectral analysis [1][2][3][4][5][6][7]; • Data processing and data products [8][9][10]; • Impact crater and feature detection [11,12]; • Pose estimation [13,14]; • Research data management and valuation [15,16].…”
mentioning
confidence: 99%