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Guidelines for Managing Personally Identifiable Information in the Research Project Data Lifecycle
Guidelines for Managing Personally Identifiable Information in the Research Project Data Lifecycle
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Description

These Guidelines are intended to assist agricultural researchers handle privacy and Personally Identifiable Information in the research project data lifecycle.
Details

URL: https://bigdata.cgiar.org/responsible-data-guidelines/Communities:Disciplines:Target Groups:
  • Researcher
Proficiency Levels:
  • Novice
  • Advanced Beginner

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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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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Workshop zu Forschungsdatenmanagement für die BMBF-Forschungsinitiative zum Erhalt der Artenvielfalt (FEdA)
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Workshop zu Forschungsdatenmanagement für die BMBF-Forschungsinitiative zum Erhalt der Artenvielfalt (FEdA)Researchers face the challenge of carrying out their work responsibly and transparently. If social science data is collected or processed for subsequent use, special precautions must be taken, e.g. to protect personal references in data and to embed data in its context of origin, to document it and thus make it comprehensible and interpretable. In the workshop, we will provide an overview of the special features associated with the management and data sharing of social science data. We will focus in particular on data protection, the contextualisation/documentation of data sets and the secure storage and publication of data. The workshop was offered by KonsortSWD (https://www.konsortswd.de/) for NFDI4Biodiversity (https://www.nfdi4biodiversity.org/de/) and the BMBF Research Initiative on Biodiversity Conservation (https://www.feda.bio/de/) and consists of presentations and exercises. In addition participants were also given further information.
Learning Resource Type
Drill and Practice, Lecture, Lesson Plan, Worksheet
File Format
PDF
Languages
German
Media Type
Presentation, Text
Publication Date
2022-05-25
License
CCBY
Authors
Keywords
#Data Security#Research Ethics#Data Publication#Anonymization#Data Documentation#Data Protection
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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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#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
#Data Publication#Data Management#DMP#FAIR#Git#R#Reproducibility
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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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