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    DataONE Module 02: Data Sharing
    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.
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    Ethics of Metabolic engineering
    This is an ethical reflection for students on an issue in metabolic engineering and the potential for "home-brew" morphine. The case study asks students to reflect on material in the linked...
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    Ethics in synthetic genomics
    This is an ethical reflection for students on an issue in genome engineering and the synthesis of potentially infectious viruses. The case study asks students to reflect on material in the linked...
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    Ethics of Gene Editing
    This is an ethical reflection for students on an issue in gene editing. The case study asks students to reflect on material in the two linked articles. Also included is the grading rubric.
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    Chapter 3: Visualizing data
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    REMNet Tutorial, Excel Part 1: Accessing Your Microbiome Data 5.3.19
    Video on accessing microbiome data from the Research Experiences in Microbiomes Network
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    Data Nuggets Resources
    Search Current Data Nuggets

    Keywords: DataNuggets

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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    SCIENCE/Fiction: Modular Template for Class Design
    We present a modular scaffold for designing an introductory seminar using speculative fiction and science papers to welcome university undergraduates to the biology major. A list of twelve possible...
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    Gender and Classroom Participation: A Case for Quantitative Analysis
    Teaching statistics to students using authentic research is one way to highlight the transferability and value of the material taught in the class. Below we describe an activity in Statistics for...
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    Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics approaches
    Constructing a robust understanding of homologous chromosomes, sex chromosomes, and the particulate nature of genes is a notoriously difficult task for undergraduate biology students. In this...
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    Exploration of the Human Genome by Investigation of Personalized SNPs
    Students often shy away from tedious bioinformatics approaches to exploring their genomes. However, in our expanding digital world these skills are some of the most relevant and valuable. To...
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    What is Data Science - Introduction to Data Science
    Data Science is the technology that goes behind handling and working with data in the 21st century. Data Science concepts have proved to be the pinnacle in the last couple of years with the onset...
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    Data Science as a Superpower
    Presentation on data science education given at the 2019 BioQUEST & QUBES Summer Workshop
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    Introducing Students to Data Science
    Presentation on data science at the 2019 BioQUEST & QUBES Summer Workshop
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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    1999-Lomen-Lovelock-Data Sets from text Differential Equations Graphics-Models-Data
    Data selected by field is presented, e.g., chemistry, electricity, growth, motion, population, miscellaneous.

    Keywords: dataEstimate

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    More In Depth Spreadsheet Management Adaptation of Data Management using NEON Small Mammal Data
    This adaptation consists of three exercises that introduce students to 1) format spreadsheet data tables, 2) carry out spreadsheet quality control, and 3) count/sort/filter data of interest in...
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    NEON_PDSI
    Users access and manipulate drought data and visualize these data to learn about historical drought patterns.
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    DataONE Module 01: Why Data Management?
    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.
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