Data Stewardship Wizard - Server Application
-
Updated
Sep 30, 2019 - Haskell
Data Stewardship Wizard - Server Application
Examines the progression of the gross revenue in the USA and the IMDB user score of movies which have won the Oscar in the category "Best Picture" and were released between 1986 and 2016.
Data analysis produces data in the form of results. Although integrating and putting findings into context is a cornerstone of scientific work, data of this type is often neglected. The analysis results data model is a proposed solution to this issue that combines analysis standards with a common data model.
This project aims to retrieve and analyze satellite-based Advanced Scatterometer (ASCAT) data and in-situ International Soil Moisture Network (ISMN) data for the estimation of soil moisture. The project will simulate a real-world experiment to ensure that the data and results can be easily shared, understood, and reused.
A list of resources to learn about data stewardship
FAIR Data Management in Life Sciences - 2022 Course by ELIXIR Norway
Teaching material for DMP writing course
A web-based life science omics and imaging data management solution
Python library for intelligent data stewardship using Large Language Model (LLM) embeddings
Documentation about the life science research data management at QBiC
Intelligent data steward toolbox using Large Language Model embeddings for automated Data-Harmonization
Add a description, image, and links to the data-stewardship topic page so that developers can more easily learn about it.
To associate your repository with the data-stewardship topic, visit your repo's landing page and select "manage topics."