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FAIRagro
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The focus of “FAIRagro” is on agrosystems research data. Agrosystems encompass agricultural landscapes and ecosystems that require an integrated systems perspective to develop sustainable crop production systems, consider interactions between agriculture and the environment (e.g., plants, soil, microbiota), and relationships between scales (space, time, and organisms). Special features of agrosystem research data are that they usually contain geospatial information and are often collected on private land (cropland, pasture). Accordingly, data protection aspects must be taken into account here. The goal of the community-driven consortium is to provide researchers with a FAIR and quality-assured research data management (RDM) for generating, publishing, and accessing research data, to provide innovative and user-friendly RDM services, and to create modern data science methods for advancing agrosystems research. Six flagship use cases from the FAIRagro community were selected to engage different user groups in the areas of crop phenotyping, nutrient and crop protection management, and digital agriculture. These address key RDM challenges and contribute to the implementation of standards and services for selected RDIs. FAIRagro will archive its goals (see below) by working closely with other NFDI consortia and the (inter)national community of data users and providers.
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Showing 12 out of 31 results.
Making Data Machine-Readable Webinar
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Making Data Machine-Readable WebinarThis webinar provides a basic overview of machine-readable data. We cover what machine-readable data is, why we prefer machine-readable data over other digital formats where possible, the characteristics of machine-readable data and how to convert tabular data to a machine-readable format.
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2019-03-28
License
Proprietary
Authors
Keywords
#Ag Data Commons#Data Curation#Machine-Readability#Reformatting#Tabular Data#USDA#Webinar
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Guidelines for Managing Personally Identifiable Information in the Research Project Data Lifecycle
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Guidelines for Managing Personally Identifiable Information in the Research Project Data LifecycleThese Guidelines are intended to assist agricultural researchers handle privacy and Personally Identifiable Information in the research project data lifecycle.
Learning Resource Type
Web page
File Format
Unknown
Languages
English
Media Type
Text
Publication Date
1905-07-11
License
CCBYNC
Authors
Keywords
#Data Security#Informed Consent#Personal identifiable Information#Privacy Protection#Research Ethics
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#shareEGU20: Handling your data efficiently from planning to reuse–tips & tools to save time & nerves- webinar
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#shareEGU20: Handling your data efficiently from planning to reuse–tips & tools to save time & nerves- webinarThis online Short Course will introduce you to useful tools and best practices that will make your work with research data much easier, more efficient, and enjoyable. It introduces you to Data Management Plans, reproducible data manipulation in R, Version control with git and github, working with clusters and large climate data, and publishing data. This Short Course is relevant to all geoscience fields and the tools presented can be widely applied through all kinds of data sets.
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2020-05-07
License
CCBY
Authors
Keywords
#DMP#Data Management#Data Publication#FAIR#Git#R#Reproducibility
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Data Dictionaries Webinar
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Data Dictionaries WebinarThis webinar provides a basic overview of data dictionaries and the role they play in making data more easily understandable. We talk about what a data dictionary is, why we recommend data be accompanied by a data dictionary, the different types of data dictionaries and how to create a data dictionary.
Learning Resource Type
Lecture
File Format
PPTX
Languages
English
Media Type
Presentation
Publication Date
2019-03-28
License
CC0
Size
1.1 MB
Authors
Keywords
#Ag Data Commons#Data Curation#Data Management#Codebook#Data Dictionary#Feature Catalog
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Forschungsdatenmanagement für Agrarwissenschaftler und Biologen
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Forschungsdatenmanagement für Agrarwissenschaftler und BiologenPresentation slides for a Workshop about research data management for students and researchers of agricultural sciences and biology. Workshop held at Humboldt-Universität zu Berlin, 12 May 2016.
Learning Resource Type
Lecture
File Format
PPTX, ODP, PDF
Languages
German
Media Type
Presentation
Publication Date
2016-05-27
License
CCBY
Authors
Keywords
#Data Journals#Data Paper#Metadata#Pangaea#Repositories#Research Data#Research Data Management#re3data
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NFDI4Biodiversity Winter School Lectures
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NFDI4Biodiversity Winter School LecturesThis Playlist collects recordings of the lectures at the NFDI4Biodiversity Winter School, that aimed on Early-Career-Researcher with a background in biodiversity and environmental science and took place in December 2022. The Winter School was a collaborative event between the Ecological Society (GfÖ) and the consortium NFDI4Biodiversity within the National Research Data Infrastructure Germany (NFDI). Various experts from the partner network (universities, data centers and research institutions) shared their widespread knowledge and trained participants in the fundamentals of Research Data Management (RDM) as well as cutting-edge technologies in handling environmental and biodiversity data across the Data Life Cycle (DLC). Topics were: Data Management and Data Literacy; Taxonomic Harmonization; Data Integration and Annotation; Legal Aspects; Data Search: Publish your Research Data
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2023-05-03
License
CCBY
Authors
Keywords
#Data Management#Data Publication#Data annotation#Legal Aspects#NFDI#Taxonomic Harmonization
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BonaRes Repositorium Intro Video
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BonaRes Repositorium Intro VideoIn the BonaRes repository, which is operated at ZALF (Germany), digital research data from soil and agricultural sciences are published and made available to scientists and interested parties for reuse. This film explains the basic steps necessary to take advantage of the data publication.
Learning Resource Type
Tutorial
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2021-04-14
License
Proprietary
Authors
Keywords
#Data Publication#BonaRes#Repository
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NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity Data
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NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity DataThe NFDI4Biodiversity Self-Study Unit (SSU) provides in-depth knowledge for both students and researchers specializing in biodiversity and environmental sciences. This learning is based on the online learning unit "Forschungsdatenmanagement - eine Online-Einführung (HeFDI Data Learning Materials)" of the Hessian Research Data Infrastructures. Developed in collaboration between several partners within NFDI4Biodiversity, the SSU offers essential domain-specific knowledge in research data management.
Learning Resource Type
Assessment, Course
File Format
Unknown
Languages
English
Media Type
Text, Video
Publication Date
2023-12-23
License
CCBYSA
Authors
Keywords
#Research Data Management#Biodiversity#Data Life Cycle#Ecologist
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WageningenX: Big Data for Agri-Food: Principles and Tools
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WageningenX: Big Data for Agri-Food: Principles and ToolsDuring this course, you will understand how and why certain principles – such as immutability and pure functions – enable parallel data processing (‘divide and conquer’), which is necessary to manage big data. From this fundamental principle, we move forward. Namely, how to recognize and put into practice the scalable solution that’s right for your situation. The insights and tools of this course are regardless of programming language, but user-friendly examples are provided in Python, Hadoop HDFS, and Apache Spark. Although these principles can also be applied to other sectors, we will use examples from the agri-food sector. Agri-food deserves special focus when it comes to choosing robust data management technologies due to its inherent variability and uncertainty. Wageningen University & Research’s knowledge domain is healthy food and the living environment. That makes our data experts especially equipped to forge the bridge between the agri-food business on the one hand, and data science, artificial intelligence (AI) on the other. Combining data from the latest sensing technologies with machine learning/deep learning methodologies, allows us to unlock insights we didn't have access to before. In the areas of smart farming and precision agriculture, this allows us to: Better manage dairy cattle by combining animal-level data on behaviour, health and feed with milk production and composition from milking machines. Reduce the amount of fertilizers (nitrogen), pesticides (chemicals), and water used on crops by monitoring individual plants with a robot or drone. More accurately predict crop yields on a continental scale by combining current with historic data on soil, weather patterns and crop yields. In short, this course’s foundational knowledge and skills for big data prepare you for the next step: to find more effective and scalable solutions for smarter, innovative insights.
Learning Resource Type
Article, Course, Drill and Practice, Tutorial
File Format
Unknown
Languages
English
Media Type
Text, Video
License
Proprietary
Authors
Keywords
#Artificial Intelligence#Big Data#Data Science#Immutability#Machine Learning#Scalability
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Data Dictionaries Webinar
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Data Dictionaries WebinarThis webinar provides a basic overview of data dictionaries and the role they play in making data more easily understandable. We talk about what a data dictionary is, why we recommend data be accompanied by a data dictionary, the different types of data dictionaries and how to create a data dictionary.
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Presentation
Publication Date
2019-03-28
License
Proprietary
Authors
Keywords
#Ag Data Commons#Data Curation#Data Management#Codebook#Data Dictionary#Feature Catalog
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Data Management Plan Webinar
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Data Management Plan WebinarThis webinar provides a basic overview of a data management plan (DMP). It answers the questions of what a data management plan is and why we create DMPs. The webinar gives an overview of the components of a DMP and goes section by section through an actual DMP for an agricultural research project.
Learning Resource Type
Lecture
File Format
PPTX
Languages
English
Media Type
Presentation
Publication Date
2021-02-08
License
CC0
Size
57.7 MB
Authors
Keywords
#Ag Data Commons#Data Curation#USDA#Webinar#Data Management Plan#Scientific Data
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Data Management Support Pack
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Data Management Support PackWhether principal investigators, researchers or data managers, this pack is designed to help you find the most relevant information for each project phase to produce high quality, reusable and open data from your research activities. It consists of documents, templates and videos covering the different aspects of data management and ranging from the overarching concepts and strategies through to the day-to-day activities. For each of the videos in the pack we have included a transcript of the narrative. The Data Management Support Pack was created to support the implementation of the CCAFS Data Management strategy.
Learning Resource Type
Web page
File Format
PDF
Languages
English
Media Type
Text, Video
Publication Date
2018-06-21
License
CCBYNCSA
Size
19.4 MB
Authors
Keywords
#Data Management Plan#Agriculture#CCAFS#CGIAR#Data Sharing#Fieldwork#Open Data#Survey Data
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