CONTENTS
Waterpower Laboratory has access to the several archiving repository and the data are archived depending on the data type, security and life. In addition, the laboratory has own simplified data storage repository (300 TB) that stores structured data such as, row data from the laboratory experiments, final thesis work, final research project data, etc. The data are divided into several categories, and the main categories are presented below. Overall, the owner of the raw data decides the suitable categories from the following options.
Expected life and re-use potential
Main source of the data is the experimental and numerical work in the laboratory. Researchers and the students generally collect the data following the project work. Overall, the data are divided into three segments of data production and usability: (1) Short, (2) Medium and (3) Long. Some of the research work in the laboratory is built upon several master and PhD thesis work, where long data life is preferred, allowing the subsequent students and researchers to use available data and continue to the work, instead of starting from ground zero. This has saved time, resources and prevented repeated work.
Expected duration of data originated from different activities in the laboratory.
Licensing type
Majority of the data generated in the laboratory are open (CC BY-SA), except raw data. However, some of the data are kept locked until final conclusion of the research project and final publication of the research article, thesis, etc. Many times students and researchers prefer to keep raw locked and for internal use only, restricted to share outside the laboratory. The licensing type is largely governed under the grant agreement and consortium agreement of the project. Some projects are financed by the hydropower industries, where the data are completely locked under CC BY-NC-ND and subsequent use is prohibited until the guarantee period ends.
Licensing of the data following categories of Creative Commons.
Data type
Through the experiments and numerical simulations, different types of raw data (measurable /physics format) are collected including. Pressure data are generally collected during almost all experimental research work in the laboratory. However, the data collection technique very from project-to-project or according the type of research. For example, in some cases flush mount sensors are used to acquire high frequency data, at the locations mainly turbine blades and guide vanes. Strain measurements are largely conducted on the blades with specific focus of fatigue lifetime and identifying the resonance condition. Velocity measurements are performed either in the vaneless space or in the draft tube. Computational fluid dynamic (CFD), fluid structure interaction (FSI). When it comes to the fatigue load analysis, data related to the strain and stress are collected.
Broad data types resulted from the experimental and numerical work in the laboratory.
Data structure and organization
The data structure can be used in two scenarios (1) real-time data and (2) archival data. The following structure can be used in both cases. Selection of real-time data access allows the researchers to access the large storage space, where the research store all data and organize until the project is concluded. The researcher and students require to maintain the folder structure. For the second scenario, the researchers handles all data handles themselves during the project period and deliver the final data to the repository in the given specific formats and folders, including the raw data.
Overall organization of data in the local repository of the laboratory.
Guide to create folders and files
Data submission to local repository
Student and researchers are required to submit the generated data during the project period at the end of the PhD, Postdoc, master thesis period. Use VKL-DMP-01A and VKL-DMP-01B (link below) for the submission of the data.
Download empty folder structure with guide
Contact
After structuring the data and arranging in order contact Chirag Trivedi in the laboratory for sending the files and data.
Associate Professor
Email: chirag.trivedi@ntnu.no
Telephone: +47 73593849
Room 22, Vannkraftlaboratoriet, Alfred Getz vei 4, NTNU, Trondheim.