72 documents found in 201ms
# 11
Kraft, Angelina • Hahn, Matthias • Potthoff, Jan
Abstract: Growing data volumes and missing local infrastructures to access and re-use scientific data have made data management a common and urgent issue – this particularly seems to be the case at educational organizations including libraries and universities, which started to deal with this complex topic by establishing adequate support services. Funded by the German Research Foundation (DFG), the project RADAR - Research Data Repository - develops a service oriented infrastructure for the preservation, publication and traceability of (independent) research data. Managed by cooperating research institutes from the fields of natural and information sciences, a key feature of the RADAR data archive is a business model offering an interdisciplinary two-stage service: A) A starter package for data preservation up to 15 years and B) A superior package for data publication with DOI assignment and an unlimited storage period. The business model will also include a cost estimation tool for scientists to apply for data management funds. RADAR clients who wish to enhance the prospects of their metadata being found, cited and linked to original research are offered a discipline-agnostic metadata scheme. The scheme allows an accurate and consistent identification of a resource and provides the opportunity to add discipline-specific information for specialized datasets. Our target groups are researchers, libraries, publishers and open platforms that lack access to an appropriate infrastructure to archive and publish their data themselves. As an interdisciplinary repository, RADAR will provide an extension of renowned, discipline-specific data archives and will enable cross-platform data sharing via appropriate interfaces.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 39-45
# 12
Kauppinen, Tomi
Abstract: We are now witnessing a large-scale need for the use of spatial information. Examples range from monitoring of deforestation in the Amazon to everyday applications for navigation and map-based visualizations. However, the central theories for Geographic Information Science (GIScience) need to be developed further in order to support the range of useful applications of geographic information in the society. For this there is a need to understand whether the study of scientific assets and their spatial, temporal and thematic could help to reveal useful new theories. The task is to all of these assets like publications, scientific data, methods, tools or tutorials – and represent their links to each other and to space, time and themes. The core question thus is: can we interconnect all scientific assets? This calls for efficient methods to answer questions of where, when, what, who (and even why) about each asset. Linked Data provides means for both the representation and accessing of data about the scientific assets on the web. This way it becomes possible – likely for the first time – to study on a large scale what kind of stories the data about scientific assets has to tell. Spatial data mining together with ontological reasoning can help us make aggregations, visualizations, abstractions, and thus allow for exploration of massive collections of scientific data and related assets. If we achieve in interconnecting different assets then we can achieve Linked Science where not only different assets are connected but also different disciplines. In this paper we discuss the role spatial data mining, semantic interoperability, vocabularies and visualization to support enabling of Linked Science. We also provide examples from our different Linked Science projects to illustrate the ideas.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 31-37
# 13
Grootveld, Marjan
Abstract: Where many research organisations are developing data management policies, the federated data infrastructure that is emerging in the Netherlands is a timely development. This federated model is an elaboration of the collaborative model in the ‘Riding the wave’ report. It distinguishes expertise and services within research organisations from those available in national data services. Researchers then benefit from the support of their local front office, while front office staff in turn can rely on support of the back office. The responsibilities and functions performed in the federated infrastructure are complementary, but not fixed. This paper elaborates on possible scenarios for the balance between front office and back office. Furthermore, it argues that research funders, although they are not explicit in the collaborative model, have a strong interest in an infrastructure where all layers are well-organised and connected.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 25-30
# 14
Green, Katie
Abstract: The advancement of digital media has dramatically changed how we communicate and record our heritage and online open access resources have become an increasingly important aspect of modern archaeological research. The Archaeology Data Service (ADS) is a digital archive that has been promoting good practice in the use of digital archaeological data and supporting research, learning and teaching with high quality and dependable digital resources for over seventeen years. The ADS does this by preserving digital data in the long-term and by promoting and disseminating, open and free data-sets, gathered from all sectors of archaeology. An integral component of the ADS’s remit has been the lifecycle principle of preservation, curation and dissemination of data in order to enable re-use. As more researchers deposit data, the amount of data available for cross-site, cross-cultural and cross-period research continues to grow. Free, open access to this data, reduces repetition in research, increases the value of data, and provides many opportunities through data re-use to combine and re-interrogate datasets, allowing new archaeological interpretations to be developed. In order to fully understand the role the digital archive plays in expanding archaeological knowledge, it is important to understand who is using and reusing archived data and it is necessary to identify how that data is being used. This paper introduces the work of the ADS and explores web statistics to discover who is using the ADS archive and how they are interacting with the collections. The case studies presented demonstrate current ‘usage stories’ of popular data collections and highlighting the value and impact of archaeological data re-use upon the archaeological sector.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 17-23
# 15
Curdt, Constanze • Lang, Ulrich • Bareth, Georg
Abstract: This paper introduces the CRC/TR32 database (TR32DB), a research data management system developed within the multidisciplinary research project Collaborative Research Centre/Transregio 32 (CRC/TR32) funded by the German Research Foundation (DFG). The aim of the TR32DB is to support collative research within the whole project by providing data storage, backup, archive, documentation, publication and also sharing services. The entire system is self-developed according to the requirements of the funding agency, the user and project demands, as well as according to recent principles and standards. The TR32DB system architecture is basically a combination of data storage (file management), database and web-interface. In addition, the TR32DB Metadata Schema was designed and implemented to describe all project data with accurate metadata. A user-friendly multi-level approach was chosen to cover the requirements of all data stored in the TR32DB with appropriate metadata.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 7-15
# 16
Cayoglu, Ugur • Shcherbakov, Denis • Tristram, Frank
Abstract: The federal state of Baden-Württemberg wants to offer scientists the best conditions for research. Against the backdrop of the ever-increasing importance of data and information the bwFDM-Communities project is tasked to develop recommendations that shall enable scientists in our federal state to process and use data without barriers. In order to achieve this objective, we engage an active dialogue with all university research groups in Baden-Württemberg (~3000). Next to identifying and advertising best-practice solutions, this project is supposed to gather information on how federal IT support needs to be expanded in order to meet the increasing demands of future research. As this is an ongoing project there may be further results in time, but some early conclusions can be drawn: Scientists want clear-cut requirements and responsibilities for data management and are willing to share their data if there is a proper appreciation model for data publication. Additionally, a lot of scientists complain about too strict law regulations regarding copyright and need better information about available RDM support, partners and opportunities. Final conclusions and recommendations can only be given in the further course of the project, but we are confident that our final recommendations will help the scientists in Baden-Württemberg.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 1-6
# 17
Curdt, Constanze • Willmes, Christian
Abstract: The 2nd Data Management Workshop was held at the University of Cologne in November 2014. It was organized within the research data management activities of two large interdisciplinary research projects both funded by the German Research Foundation (DFG). Both projects actively supported the workshop. The Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation’ involves scientist from the fields of meteorology, hydrology, geography, geophysics, soil sciences and mathematics. The CRC806 ‘Our Way to Europe: Culture-Environment Interaction and Human Mobility in the Late Quaternary’ integrates scientists from the disciplines of prehistoric archaeology, geology, geography, geophysics and soil sciences. Organizing research data management of such diverse disciplines which are distributed over several universities and research centers faces several problems and challenges. Consequently, the main focus of the 2nd Data Management Workshop was to discuss solutions and approaches for interdisciplinary and disciplinary data management with other colleagues and experts of the field. The publication of the Special Issue on ‘Research Data Management’ of the ISPRS International Journal of Geo-Information (ISSN 2220-9964) emerged in the context of this workshop.
Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. III-IV
# 18
Tattaris, Maria • Reynolds, Matthew • Pietragalla, Julian • Molero, Gemma • Cossani, Mariano C. • (et. al.)
Abstract: High resolution remote sensing (RS) of light spectra reflected from plants allows for non-intrusive monitoring of physiological characteristics such as canopy temperature, hydration status, and pigment composition, as well as permitting estimates of agronomic traits such as biomass and yield. While satellite mounted RS platforms have proven efficient at measuring some of these characteristics at a field scale, their spatial resolution is too low for accurate data retrieval at plot level in a plant breeding context. While ground based remote sensing is used for predicting physiological and agronomic traits at a plot scale, temporal variations of environmental variables such as air temperature can introduce confounding factors especially when applied to large trials. Low level airborne remote sensing platform overcomes these restrictions, allowing for fast, non-destructive screening of plant physiological properties over large areas, with enough resolution to obtain information at plot level while being able to measure several hundred plots with one take. Sampling was performed with a helium filled tethered blimp and an 8 rotor unmanned aerial vehicle (UAV). Instruments mounted on the UAV alternate between a 3 channel multispectral imaging spectrometer and a thermal camera. A 12 channel multispectral camera was fixed on the tethered blimp. Flight altitude, between 50-100 m, was a function of the spatial resolution of the camera, wind speed and target plot lengths; ranging from 0.50-8.5 m. Multiple flights were conducted during the 2012 and 2013 cycles over experimental wheat trials. Images were corrected, geo-referenced where possible and processed to determine a data point for each plot within the trial. Aerial images collected were used to calculate a wide range of indices relating to temperature, vegetation, pigments, water status, and biomass. Indices derived from the airborne imagery data were validated by equivalent indices collected at ground level. Correlations between airborne data and yield/biomass at plot level proved to be similar or even better to the equivalent correlations using data collected from instruments on the ground. Results give confidence to the application of such airborne remote sensing techniques for high throughput phenotyping, in particular the ability to evaluate the level of stress and performance of thousands of genetic resources under extreme heat and drought conditions.
# 19
Oppelt, Natascha
Abstract: In coastal aquatic systems, marine macroalgae provide food and habitat for wildlife. Analysis of their occurrence and socialization therefore enables an estimate the state of coastal marine environment and provides evidence for environmental changes. To identify different macroalgae at family or species level, we have to identify their specific pigment composition. Hyperspectral sensors with their narrow band widths enable the detection of local absorption features of pigments and increased the number of possibilities to determine these features. This led to growing research interest to identify and monitor submerged and emerged coastal vegetation using airborne hyperspectral sensors. A precondition for a successful mapping of macroalgal habitats, however, is that their spectral features are spectrally resolvable. Besides the problems of identifying overlapping pigments features in terrestrial plants, the analysis of aquatic plants is difficult due to the dampening effect of water on the spectral signal. Emergent species usually have a higher average reflectance than submerged plants due to the absence of water attenuation. Moreover, the presence of flooding introduces variability in reflectance values due to the mixing of plant and water signals. This mixing usually results in a decrease in total reïflected radiation, especially in the Near to Mid Infrared. This paper discusses the performance of different approaches to determine the distribution of macroalgae communities in the rocky intertidal and sublitoral of Helgoland (Germany) using airborne AISAeagle data. We used standard supervised classification approaches such as the maximum likelihood classifier; to better cope with the varying reflectance levels we also introduced a new approach, which is based on the measurement of the slope between major algae pigments. The slope approach turned out as time effective possibility to identify the dominating macroalgae species via their pigment assemblage in the intertidal and upper sublitoral zone, even in the heterogeneous and patchy coverage of the study area. With increasing water depths (> 2 m), a water column correction is compulsory for macroalgae mapping. In this study, the bio-optical model MIP was applied to identify different types of brown algae in the sublitoral zone of the study area.
# 20
Bareth, Georg • Aasen, Helge • Bendig, Juliane • Gnyp, Martin Leon • Bolten, Andreas • (et. al.)
Abstract: The non-destructive monitoring of crop growth status with field-based or tractor-based multi- or hyperspectral sensors is a common practice in precision agriculture. The demand for flexible, easy to use, and field scale systems in super-high resolution (<20 cm) or on single plant scale is given to provide in-field variability of crop growth status for management purposes. Satellite and airborne systems are usually not able to provide the spatial and temporal resolution for such purposes within a low-cost approach. The developments in the area of Unmanned Aerial Vehicles (UAV) seem to fill exactly that niche. In this contribution, we introduce two hyperspectral frame cameras weighing less than 1 kg which can be mounted to low-weight UAVs (<3 kg). The first results of a campaign in June 2013 are presented and the derived spectra from the hyperspectral images are compared to related spectra collected with a portable spectroradiometer. The results are promising.
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