Topic Data Management
Topic
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Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
ChIP Seq
Clinical Research
Cloud
Data Management
Data Resources
Data Science
Drugs
Flow Cytometry
Genomics
Image Analysis
Metabolomics
Microbiome
Natural Language Processing
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Programming
Proteomics
Reproducible Research
Sequencing Technologies
Single Cell RNA SEQ
Single Cell Technologies
Statistics
Variant Analysis
Format
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Class
Distinguished Speaker
Lecture
Seminar
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BTEP
BYOB
CBIIT
CDSL
Earl Stadtman Investigator Program
Frederick National Lab for Cancer Research (FNLCR), Advanced Biomedical Computational Science (ABCS)
HPC Biowulf
NCI
NCI and the Society for Immunotherapy of Cancer (SITC)
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI SS/SC
NHGRI
NHLBI
NHLBI Proteomics Core
NIA
NIAID
NIDA
NIDCR
NIH
NIH Common Fund
NIH HPC Biowulf
NIH Metabolomics Scientific Interest Group
NIH Office of Data Science Strategy (ODSS)
NIH STRIDES Initiative
NIH Training Library
Office of Cancer Clinical Proteomics Research
R Studio
Scientific Library at Frederick
Single Cell Users Group
Systems Biology Interest Group
Past & Future Events
All
Only Past Events
Only Future Events
may
13may1:00 pm2:00 pmDATA MANAGEMENT AND SHARING: PART 1
Event Details
Register Session Description This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting
more
Event Details
Session Description
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. By the end of this course, participants will have an understanding of data management best practices, data management tools, and resources that enable data sharing.
This is an introductory two-part course for those who want to learn about research data management and sharing, or for those who are interested in a refresher. Part 1 of this training will cover understanding research data, how to manage research data, and how to work with data. Audience: Researchers, fellows, post-docs, and trainees. You must register separately for Part 2 of this class.
Time
(Thursday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
14may1:00 pm2:00 pmDATA MANAGEMENT AND SHARING: PART 2
Event Details
Register Session Description This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting
more
Event Details
Session Description
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. By the end of this course, participants will have an understanding of data management best practices, data management tools, and resources that enable data sharing.
This is an introductory two-part course for those who want to learn about research data management and sharing, or for those who are interested in a refresher. During Part 2 of this training, participants will learn about sharing and archiving data. Audience: Researchers, fellows, post-docs, and trainees. You must register separately for Part 1 of this class.
Time
(Friday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Training LibraryNIH Training Library
