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Getting started with personal science (edit)
Revision as of 17:56, 28 February 2023
, 17:56, 28 February 2023no edit summary
{{Topic Infobox}}
:''This page is about how to get started with your own personal science project. See'' [[Help:Getting started with wiki syntax|''Getting started with wiki syntax'']] ''for details on how to use this wiki.''
:''This page is about how to get started with your own personal science project. See'' [[Help:Getting started with wiki syntax|''Getting started with wiki syntax'']] ''for details on how to use this wiki.''
* Creatively expressing oneself through data and visualizations
* Creatively expressing oneself through data and visualizations
* Wanting to learn a new skill
* Wanting to learn a new skill
Also see a more detailed [[Reasons for and against self tracking and quantification|exploration of reasons for and against self-tracking and quantifying yourself]] and different [[Self Tracking, Disambiguation|communities that approach self-tracking from different angles]].
==== Framing a question ====
==== Framing a question ====
There is no fixed "best" way to record any type of observations. Methods for recording data can be as simple as using a notebook in which one can enter all observations by hand, over using spreadsheet software like [[Excel]] or [[Google Sheets]] to the automatic recording of observations through devices like [[Wearables]]. More complex ways of recording data are not necessarily better than simpler approaches. Indeed, if a data recording protocol is too complex, it is more likely that one will not be able to do it consistently (see convenience above). One can also use a tool like [[Google Form]] to create a bespoke survey that one can fill out in regular intervals.
There is no fixed "best" way to record any type of observations. Methods for recording data can be as simple as using a notebook in which one can enter all observations by hand, over using spreadsheet software like [[Excel]] or [[Google Sheets]] to the automatic recording of observations through devices like [[Wearables]]. More complex ways of recording data are not necessarily better than simpler approaches. Indeed, if a data recording protocol is too complex, it is more likely that one will not be able to do it consistently (see convenience above). One can also use a tool like [[Google Form]] to create a bespoke survey that one can fill out in regular intervals.
If one decides to use a wearable device or a specific mobile application for recording observations, it is important to check whether one can export and access all observations. If all data is stuck within a device or the data store of a manufacturer it might be impossible to use this data for a personal science project.
If one decides to use a wearable device or a specific mobile application for recording observations, it is important to check whether one can export and access all observations. If all data is stuck within a device or the data store of a manufacturer it might be impossible to use this data for a personal science project. If the tool in question has a page in the [[:Category:Tools|tools category]] one might find the answer there.
=== When to record observations ===
=== When to record observations ===
== Discovering ==
== Discovering ==
In the personal science framework, the discovery stage focuses both on taking action following ones reasoning and on how to share the insights one has gained from doing a personal science project.
=== Considerations when sharing insights ===
Personal science projects take a first-person-stance by definition. Which means they are designed to answer a question for an individual or in some cases a small group of people (e.g. "Does this work '''for me'''? and "Does this work '''for us'''?"). As such, it is important to avoid the urge to make generalized claims that claim to work for everyone. These individual reports are valuable and useful.
Furthermore, regardless of what a project is about, an honest account of what one did is important. Things that one tried and which did not fully work out are just as informative for others as the success stories.
=== Where and how to share ===
==== Show and Tell ====
A common way of sharing insights from a self-research project within the personal science community are talks that follow the "Show & Tell" format, in which one presents a project along three main questions: 1. What did you do? 2. How did you do it? 3. What did you learn?
This Wiki has a rich database of self-research projects that were presented at ''Quantified Self'' conferences or meetups over the years within the category [[:Category:Show and Tell|Show and Tell]] that can serve as inspiration.
==== Keating Memorial ====
Together, [[Open Humans]] and [[Quantified Self]] are organizing regular self-research meetings which happen every week and hold an annual online presentation event called the [[Keating Memorial]]. These weekly meetings provide a place to both share ones own self-research as well as discover what other people are doing research on.
==== Sharing a project on the Wiki ====
One can create a project page on this wiki within the [[:Category:Projects|Projects category]]. These pages can be free-form and can be used throughout the different stages of a personal science project, from the initial brainstorming to final reasoning steps.
== Getting help ==
This wiki collects knowledge on self-research [[:Category:Topics|topics]], [[:Category:Tools|tools]] used for personal science, as well as [[:Category:People|personal scientists]] and their [[:Category:Projects|projects]], with the goal of supporting people in developing and implementing their own self-research. Additionally, there are [[Personal Science Community Meet Ups|weekly self-research chats]] that take place each Thursday at 10am Pacific / 7pm Central European time, which provide a way to share self-research projects and get feedback and help.
The forum of Quantified Self is another place where one can ask for advice and help<ref><nowiki>https://forum.quantifiedself.com/</nowiki></ref>.
== References ==
== References ==
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[[Category:Topics]][[Category:Experiment design]][[Category:Data analysis]]