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[WIP] Update pd-overview-sharing.md -openhardware
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jcolomb authored Jun 28, 2023
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(pd-overview-sharing)=
# Sharing Your Research Work
Now that you are in the last phase of your project, you want to make sure that your outputs are available to anyone interested in analysing or reusing them.
In order to make sure that (all) your outputs are available to anyone interested in analysing or reusing them, you want to share them.
Science can only progress from building on top of each other's results.
The first step is sharing your work.
The different types of digital research outputs that can be shared on the web (data, software and code, protocols, reagents, and hardware).
They have specifics in terms of licenses, repositories and discovery channels.


But only sharing is not enough.
You need to make sure that your research objects are **F**indable, **A**ccesible, **I**nteroperable and **R**eusable.
This is referred to as {ref}`FAIR Principles<rr-rdm-fair>` that provides guidelines to improve the Findability, Accessibility, Interoperability and Reusability of digital assets; all of which support research reproducibility.

This aspect is already considered when developing your {ref}`Data Management Plan (DMP)<rr-rdm-dmp>` (see {ref}`pd-overview-planning-dmp`).
Therefore, it is important to revisit your DMP to make sure that the guidelines are also applied when making your results available.
Therefore, it is important to revisit your DMP to make sure that the guidelines are applied when making your results available.
You can learn more about this in a chapter on {ref}`making data FAIR<rr-rdm-fair>`).

(pd-overview-sharing-archive)=
## Archive your Outputs
## Share your data

Like your data, your outputs should be archived in an open place, where people can access them.
A repository is a good place to store your results.
When legally possilbe, your data should be archived in an open place, where people can access them.
If you have sensitive data, you will not be able to share the raw data, but there may be some data you can share.
A repository is a good place to store your data.

An overview of some repositories available for archiving your data can be found in [re3data.org](https://www.re3data.org/).

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## Share Analysis Scripts and Research Software

If you have been using a version control system you will have this covered.
If you have been using a version control system with a public repository (see the {ref}`Version Control<rr-vcs>` chapter), you have already done most of the work.
You should now consider putting a snapshot of your code in a repository, so you can be sure it gets archived for a relatively long time, and it become citable.
Indeed, there is no guarantee that the repository will stay available for a long time.

If developing analysis scripts and research software is part of your research, you need to use a version control system.
If you are new to version control you can read more about it in the {ref}`Version Control<rr-vcs>` chapter.

You can integrate your version control system with a general-purpose repository.
For example, when integrating GitHub with Zenodo you can get Digital Object Identifiers or DOIs for your software.
For example, when integrating GitHub or Gitlab with Zenodo (see {ref}`cm-citable-cite-software`), you can get Digital Object Identifiers or DOIs for your software.
This automatically makes it easier to share and makes it citable.
You can read about DOIs in the chapter on {ref}`Making Research Components Citable<cm-citable>`.



## Share Research Hardware

In absence of better solution, you may deal with your hardware documentation with the smae strategy as with your software: using version control repositories during its development, and zenodo integration for archiving.
If your documentation is in the form of a website, try to provide a independent html build that can run without a server.

## Share reagents

Depending on your research domain, you may have produced reagents (genetic material or tissue for example).
If there is a specific bank for these products that can share them widely, you may consider using them.
Make sure a persistent identifier is given, an that the description of your reagents have enough metadata to make sharing useful.

## Collecting your Research

Once you are done with your research you may want to collect all the digital parts of your project in one place.
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