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Introduction VI

Within the sixth session we’ll have two topics, including both theoretical and practical aspects. At first, we’ll go start going through the basics of one of the major parts of science & academia: scientific reading and writing, specifically finding/organizing & reading scientific publications. Next, we’ll continue to analyze the data acquired within our demo experiment. This time, we’ll try to dig deeper into the data structures and try to gather data of interest, transforming it to a more intelligible format.

Topics 💡👨🏻‍🏫

In the following you’ll find the objectives and materials for each of the topics we’ll discuss during this session.

Scientific reading & writing III - reviewing publications

After evaluating/discussing how we can find & organize as well as structure & write publications, we’ve reached the final chapter (got it?) of our scientific publications-related endeavors (at least in terms of the theoretical input). More precisely, we’ll be talking about the reviewing process of scientific publications and evaluate guidelines/aspects that aim to help providing clearly structured & constructive feedback. “Shouldn’t that be a given?” you might ask. Well, you’d be surprised and not in a positive way. Additionally, we will address these aspects via open science principles, specifically talking about open peer review.

Objectives📍

• Learn about review process

• Get to know important review guidelines

• Ask and answer questions

• Have a great time

Materials📓

You can directly access the slides here.

Demo project related work 🥼🧑🏽‍💻🧑🏾‍💻

As mentioned above, we’ll continue to work on the demo experiment. After setting the ground work for the project & data management aspects, literature review and demo experiment report structure in the previous weeks, we’ll directly apply the contents of the reviewing scientific publications discussion, as well as further analyze the acquired data.

reviewing scientific publications wrt the demo experiment

Throughout the first part of the session you’ll be tasked to draft review outlines for some papers in the demo experiment group’s zotero library. Besides being a good exercise on the topic and good way to explore the tools/resources introduced in the session a bit further, it has the great side-effect of preparing your review of one other demo experiment group’s report.

Analyses of demo-experiment

After experiencing first nightmares of unFAIR data, we’ll dive further into things. The plan is to explore the data in more detail, try to understand it, gather data of interest and transform it to something more intelligible.

Project related work 🥼🧑🏿‍🔬👩🏻‍🔬

Not applicable.

tasks for subsequent meeting 🖥️✍🏽📖

demo project

You should continue to work on things related to your demo experiment report, including finding/organizing & reading publications, data management plan and pre-registration outside standard course hours.

This time there’s also a precise task: please try to extract the remaining behavioral data from the json file, i.e. the ratings regarding stimulus familiarity and stimulus liking. Following an approach comparable to the demographic data you should be able the obtain the familiarity and liking for each stimulus (n=20) and the respective confidence of the rating. Once you have the information, please add them to the participants.tsv as new columns to keep everything as FAIR and thus BIDS-y as possible.

reading

Please go briefly through the ten simple rules paper concerning reponding to reviews. You can find it in the course zotero library.

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Introduction V

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Experimentation