If you’ve ever tried to properly share your research, you know how messy it gets. The paper ends up in a journal, the data is pushed into some repository, and the code is on GitHub. Six months later, someone asks for your dataset and you’re digging through old Dropbox folders because the link in the article doesn’t work anymore.
It’s not just annoying. It makes your work harder to reproduce, harder to trust, and it means you’re often not getting credit for the parts of the project that took the most time. Funders and journals have noticed. That’s why you keep hearing about FAIR data, reproducibility, and data availability statements.
DeSci Publish was built to make this easier. One place for your paper, data, and code. Everything connected, everything citable, everything tied to your name. Here’s what the process looks like.
You start with what you already have: the paper. Upload a preprint, a draft, or the finished version. DeSci Publish creates something called a “research object” - basically a container that will hold the whole project.
The platform automatically grabs the title, abstract, and keywords. You just make sure it looks right. At this point you can request a DOI so your paper is citable straight away.
This is useful. More and more journals are fine with preprints, and funders don’t want results stuck in peer review for a year. Having a DOI means your work is visible and citable immediately.
Here’s where it gets interesting. Instead of scattering your dataset and scripts across different sites, you upload them next to the manuscript. They live together in the same record. If you update them later, new versions are tracked and citable.
Why does this matter? Because the rules have changed. Journals are asking for data availability statements. Funders expect to see a data management plan. And let’s be honest: if readers can’t check your figures or run your analysis, they’re not going to fully trust the results.
By keeping everything together, you make it simple. A reviewer can click straight into the dataset behind your graph. A colleague can run your script without having to email you. And since datasets and code get DOIs too, you actually get credit when someone reuses them.
DeSci Publish picks up your co-authors from the manuscript. You add their emails and they can confirm their role before the project goes live.
This is small but important. Authorship disputes waste time, and many journals now want clear contribution statements. Having authors confirm upfront avoids arguments later.
You can also tag your project with badges like “Open Data” or “Reproducible Research.” They look simple, but they send a message that your team takes transparency seriously.
When everything looks good, you publish by signing in with your ORCID iD. If you’ve submitted to a journal or applied for a grant recently, you already know how common ORCID has become.
At this stage you also pick a license for your work. For data, that might be a Creative Commons license. For code, you might prefer something like MIT or GPL. Choosing a license removes the uncertainty about reuse. It tells others exactly what they can and cannot do with your outputs, which is a key part of making research reusable.
Once you confirm, your project is live. Each part has a DOI and the whole record is linked to your ORCID. That means your data and code don’t end up floating in a separate repository that no one checks. They’re listed alongside your papers as part of your research record.
Instead of being recognised only for the manuscript, you’re credited for the whole project.
When your work is published, you’re not staring at a static page. DeSci Publish shows you analytics - novelty scores, suggested topics, keywords, even related articles you might have missed. These features also make your work easier to find, since the metadata helps it surface in searches.
And if you need to make changes, you can add files or release a new version. Everything stays tied together under the same record.
This part is a time-saver. You can generate a submission package that bundles the paper with its linked data and code.
Picture this from a reviewer’s perspective. Instead of emailing the authors to request a dataset, everything is there from the start. For editors, it’s obvious your work is reproducible before it even goes into review. That kind of transparency builds trust, and it can help your submission stand out.
Open science is more than just making your data available. The real standard now is FAIR: Findable, Accessible, Interoperable, and Reusable. These principles are what funders, journals, and institutions are asking for, because they want research that can be discovered and built on.
DeSci Publish has FAIR built into the workflow. DOIs make your outputs findable and citable. Hosting on a peer-to-peer network keeps them accessible and linked to your ORCID. Metadata and versioning make them interoperable with discovery tools. And clear documentation and licensing make them reusable.
Publishing this way is not an extra burden. It saves you time, it strengthens your research, and it makes your work easier to trust. It also increases the chance that your results will be reused and cited.
With DeSci Publish, you’re not just uploading a manuscript. You’re publishing the complete and FAIR version of your research.
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