About
Zenodo is an open-source
repository used to archive and share any research data. A Digital Object
Identifier (DOI) is assigned to any file submitted, and all data are
stored at the European Organization for Nuclear Research (CERN).
This document intends to describe and provide what is needed for
searching and uploading data on CONTRAST community in
Zenodo.
Before you start your upload
Please follow the naming conventions, data
types, and format guidelines defined in the
project’s Data Management Plan (DMP) whenever
possible.
The summary below provides key extracts from the DMP (Chapter:
Datasets).
For updates or clarification, always refer to the most recent version of
the DMP.
Naming Conventions
Whenever possible, name your data files according to the following
format:
_WPnumber_TaskNumber_PartnerAcronym_Easy-to-understand-content_date_
Example:
_WP5_T5.3_NIVA_Bioassay-CampaignXX-sediment_14.03.2024_
This structure helps ensure clarity, traceability, and alignment
across project partners.
Main Deliverable Types
| Chemical and physicochemical data |
Concentrations of CECs and legacy contaminants in different
matrices; physicochemical properties such as temperature, salinity,
oxygen, suspended particle matter (SPM), and dissolved organic matter
(DOM). |
Recommended: .csv,
.tab Accepted: .xls,
.xlsx |
| Biological data |
Information regarding living organisms, encompassing genomics (and
other omics data), physiological parameters, and related aspects (e.g.,
field, lab, mesocosm). |
Recommended: .csv,
.tab Accepted: .xls,
.xlsx |
| Computational data |
Data produced by computer simulations, modelling, algorithms, or
software applications (e.g., model outputs). |
Recommended: NetCDF Also: Upload the
corresponding GitHub repository to Zenodo |
| Reports / Policy briefs / Workshops |
Scientific reports, workshop abstracts, policy briefs, internal
documents, and similar outputs. |
Recommended: Open Document Format
(.odf) Accepted: .pdf,
.html, .docx, .xlsx,
.rtf |
This extract summarises relevant sections from the CONTRAST DMP
(v1.2, October 2025). In case of discrepancies, the DMP takes
precedence.
Uploading files
| - Click on New upload |
 |
| - Ensure that the community is selected to submit your
record. If you see the community logo on the top of the upload section,
jump here. |
 |
| - If it is not, click on Select a community on the top
the upload section. |
 |
| - Search for CONTRAST and click on
Select. |
 |
| - Upload your file(s) by
either drag and drop or by clicking on Upload files. |
 |
| - Choose the visibility of your upload. If you choose
Public, your file will be open
source. if you choose Restricted, the files will be
only accessible by users specified in the permissions. |
 |
| It is also possible to apply an embargo |
 |
| - Most fields on the Basic Information section
are required (marked with *). |
 |
| - Once you are ready to submit, click on Submit for review. It is also
possible to save a draft. |
 |
| - Once your upload is completed, it will be searchable
on Zenodo, but not yet connected to the CONTRAST community. A curator
(community owner) will receive your request to include your file in the
community repository and approve it if the community requirements are
fulfilled (if any). |
|
| - You can find all your uploads (including drafts) by
clicking on My dashboard on the top banner. |
 |
Uploading datasets
Make sure to name the file according to CONTRAST’s DMP
Make sure to add a description about the dataset (raw file,
quantitative/qualitative data, link to article, etc).
Whenever possible, upload your datasets in .csv format. .csv
files are supported by a wide range of software applications than Excel,
making it more accessible. They are also lighter due to its simplicity
(lacking of formatting).
Tag your data with file type Dataset . This will make your file
easier to find.
It is possible to upload your dataset together with other
materials, but it is preferable to upload it on its own. This is to
ensure your data are findable when searching for datasets. In this case
you will want to link it to your publication:
- go to the publication, click on Edit, and fill out the field Related
works.
