scholarly journals The DataRes research project on data management

2012 ◽  
Author(s):  
Martin Halbert ◽  
William Moen ◽  
Spencer Keralis
Keyword(s):  
Data Management ◽  
Research Project

scholarly journals Data Management

2021 ◽  
pp. 193-225
Author(s):  
Carolin Helbig ◽  
Uwe-Jens Görke ◽  
Mathias Nest ◽  
Daniel Pötschke ◽  
Amir Shoarian Sattari ◽  
...  
Keyword(s):  
Data Management ◽  
Research Project ◽  
Entire Data ◽  
Data Lifecycle ◽  
Project Data ◽  
Institutional Unit

AbstractData management includes the development and use of architectures, guidelines, practices and procedures for accurate managing of data during the entire data lifecycle of an institutional unit or a research project. Data are defined as different information units such as numbers, alphabetic characters, and symbols that are particularly formatted and can be processed by computer. The data in the project is provided by various actors which can be GeomInt partners, their legal representatives, employees, and external partners.

scholarly journals OceanNETs Data Management Plan

2020 ◽  
Author(s):  
Lisa Paglialonga ◽  
Carsten Schirnick
Keyword(s):  
Data Management ◽  
Scientific Community ◽  
Management Plan ◽  
Research Data ◽  
Data Handling ◽  
Research Project ◽  
Project Duration ◽  
Data Output ◽  
Close Cooperation

This is the data management plan for the research project OceanNETs. It compiles OceanNETs research data output and describes the data handling during and after the projects duration with the aim to make OceanNETs research data FAIR – sustainably available for the scientific community. This data management plan is a living document; it will be continously developed in close cooperation with the consortium members throughout the project duration.

Efficient data management in a large-scale epidemiology research project

2012 ◽  
Vol 107 (3) ◽  
pp. 425-435 ◽  
Author(s):  
Jens Meyer ◽  
Stefan Ostrzinski ◽  
Daniel Fredrich ◽  
Christoph Havemann ◽  
Janina Krafczyk ◽  
...  
Keyword(s):  
Data Management ◽  
Large Scale ◽  
Research Project ◽  
Efficient Data

scholarly journals BIMcpd: A Combined Toolkit for Constraint Checking, Performance Evaluation and Data Management in Building Renovation Projects

Proceedings ◽  
2021 ◽  
Vol 65 (1) ◽  
pp. 32
Author(s):  
Brian O’Regan ◽  
Eoin O’Leidhin ◽  
Farah Tahir ◽  
Karen Mould ◽  
Stephen O’Donovan ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Data Management ◽  
Data Sets ◽  
Research Project ◽  
Constraint Checking ◽  
Analyse Data ◽  
User Friendly ◽  
Significant Data

Effective and efficient building renovations require significant data management and analysis. The ability to store, analyse, and display this data in a user-friendly way can play an important role in easing the process. The tools developed by authors of this paper during their work in the BIM4EEB research project are contained in three distinct intuitive applications that will allow users to (a) find recommended positions for HVAC, lighting, and other devices; (b) analyse data from sensors, energy bills, and other sources (weather for example); and (c) manage the data that they have on the above and create new data sets that they can share with other tools.

Intra-consortia data sharing platforms for interdisciplinary collaborative research projects

2020 ◽  
Vol 62 (1) ◽  
pp. 19-28
Author(s):  
Max Schröder ◽  
Hayley LeBlanc ◽  
Sascha Spors ◽  
Frank Krüger
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Collaborative Research ◽  
Research Data ◽  
Effective Management ◽  
Research Projects ◽  
Research Project ◽  
Use Of Data ◽  
Central Interest ◽  
Large Research

AbstractAs the importance of data in today’s research increases, the effective management of research data is of central interest for reproducibility. Research is often conducted in large interdisciplinary consortia that collaboratively collect and analyse such data. This raises the need of intra-consortia data sharing. In this article, we propose the use of data management platforms to facilitate this exchange among research partners. Based on the experiences of a large research project, we customized the CKAN software to satisfy these needs for intra-consortia data sharing.

scholarly journals Data Management for Systems Medicine: The SMART-CARE Joint Environment

2021 ◽  
Author(s):  
Friedemann Ringwald ◽  
Felix Czernilofsky ◽  
Aleksei Dudchenko ◽  
Matthias Ganzinger ◽  
Sascha Dietrich ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Management ◽  
Tumor Recurrence ◽  
Distributed Data ◽  
Systems Medicine ◽  
Sample Collection ◽  
Metabolome Analysis ◽  
Research Project ◽  
Predict Tumor Recurrence

For a research project on mass spectrometry, a streamlined, harmonized and robust analytical pipeline is built to predict tumor recurrence. By means of standardization all steps from sample collection, analysis, proteome, and metabolome analysis are harmonized. Challenges like non-central identificators and distributed data are overcome with a centralized high-performant IT-platform in combination with a pseudonymization service and harmonization.

scholarly journals Translation from the collaborative OSM database to cartography

2018 ◽  
Vol 1 ◽  
pp. 1-7
Author(s):  
Flora Hayat
Keyword(s):  
Data Management ◽  
Regional Scale ◽  
Mapping Method ◽  
Research Project ◽  
Web Map ◽  
Database Structure ◽  
Tile Mapping ◽  
Set Up ◽  
The Right ◽  
Guide Lines

The OpenStreetMap (OSM) database includes original items very useful for geographical analysis and for creating thematic maps. Contributors record in the open database various themes regarding amenities, leisure, transports, buildings and boundaries. The Michelin mapping department develops map prototypes to test the feasibility of mapping based on OSM. To translate the OSM database structure into a database structure fitted with Michelin graphic guidelines a research project is in development. It aims at defining the right structure for the Michelin uses. The research project relies on the analysis of semantic and geometric heterogeneities in OSM data. In that order, Michelin implements methods to transform the input geographical database into a cartographic image dedicated for specific uses (routing and tourist maps). The paper focuses on the mapping tools available to produce a personalised spatial database. Based on processed data, paper and Web maps can be displayed. Two prototypes are described in this article: a vector tile web map and a mapping method to produce paper maps on a regional scale. The vector tile mapping method offers an easy navigation within the map and within graphic and thematic guide- lines. Paper maps can be partly automatically drawn. The drawing automation and data management are part of the mapping creation as well as the final hand-drawing phase. Both prototypes have been set up using the OSM technical ecosystem.

scholarly journals Data Management in a Research Project

2012 ◽  
Vol 17 (6) ◽  
pp. 6_61-6_64
Author(s):  
Kiyohumi YUMOTO
Keyword(s):  
Data Management ◽  
Research Project

Research data management services for a multidisciplinary, collaborative research project

2015 ◽  
Vol 49 (4) ◽  
pp. 494-512 ◽  
Author(s):  
Constanze Curdt ◽  
Dirk Hoffmeister
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Research Data ◽  
Research Project ◽  
Content Type ◽  
Research Data Management ◽  
Metadata Schema ◽  
Interdisciplinary Research Project ◽  
Project Data ◽  
User Friendly

Purpose – Research data management (RDM) comprises all processes, which ensure that research data are well-organized, documented, stored, backed up, accessible, and reusable. RDM systems form the technical framework. The purpose of this paper is to present the design and implementation of a RDM system for an interdisciplinary, collaborative, long-term research project with focus on Soil-Vegetation-Atmosphere data. Design/methodology/approach – The presented RDM system is based on a three-tier (client-server) architecture. This includes a file-based data storage, a database-based metadata storage, and a self-designed user-friendly web-interface. The system is designed in cooperation with the local computing centre, where it is also hosted. A self-designed interoperable, project-specific metadata schema ensures the accurate documentation of all data. Findings – A RDM system has to be designed and implemented according to requirements of the project participants. General challenges and problems of RDM should be considered. Thus, a close cooperation with the scientists obtains the acceptance and usage of the system. Originality/value – This paper provides evidence that the implementation of a RDM system in the provided and maintained infrastructure of a computing centre offers many advantages. Consequently, the designed system is independent of the project funding. In addition, access and re-use of all involved project data is ensured. A transferability of the presented approach to another interdisciplinary research project was already successful. Furthermore, the designed metadata schema can be expanded according to changing project requirements.

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