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feat (mod 10): add overview and prep #72
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_sandbox/2024_module-overviews.qmd

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Now that we have covered how to find data and use data visualization methods to explore it, we can move on to combining separate data files and preparing that combined data file for analysis. For the purposes of this module we're adopting a very narrow view of harmonization and a very broad view of wrangling but this distinction aligns well with two discrete philosophical/practical arenas.
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## Authorship & Intellectual Credit Overview
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Group synthesis requires many types of contributions, from raw data to idea generation, analysis, group organization, figure development, conceptualizing, writing, and editing. Often, little of this work is directly compensated. Conflicts and misunderstandings about what contributions earn authorship arise -- especially in the absence of a clearly articulated policy on intellectual credit. In this module we will discuss a few models for aligning expectations around intellectual credit and how they may differ depending on the participants and the particular product the group is developing. We'll also take some time for project groups to develop or refine their own intellect credit policies.
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## Analysis & Modeling Overview
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Given the wide range in statistical training in graduate curricula (and corresponding breadth of experience among early career researchers), we'll be approaching this module in a different way than other modules. **This module uses a "flipped approach" where project teams will share and discuss their proposed analyses with one another.** That said, one of our goals for these course materials is that they be a valuable resource to those who are not formally enrolled in the course and this flipped approach could result in a lack of information on a critical topic. To reduce this risk, we have created a typical instructional module dedicated to <u>analyses that are more common in--or exclusive to--synthesis research</u> that we hope is helpful.

module-10.qmd

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title: "Ensuring Equitable Intellectual Credit"
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#### {{< fa person-digging >}} \[Overview Under Construction\]
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Group synthesis requires many types of contributions, from raw data to idea generation, analysis, group organization, figure development, conceptualizing, writing, and editing. Often, little of this work is directly compensated. Conflicts and misunderstandings about what contributions earn authorship arise--especially in the absence of a clearly-articulated policy on intellectual credit.
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Check back later
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In this module we will discuss a few models for aligning expectations around intellectual credit and how they may differ depending on the participants and the particular product the group is developing. We'll also take some time for project groups to develop or refine their own intellect credit policies.
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:::{.callout-note icon="false" collapse="false"}
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### {{< fa file-pen >}} Pre-Class Preparation
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- {{< fa screwdriver-wrench >}} TBD
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- No specific pre-class preparation for this module!
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:::
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