On Publishing Open Science Objects
Maximize Your Research Impact: Publishing Open Science Objects in Revista Alfa
Publishing in Revista Alfa de investigación en ciencias agronómicas y veterinarias ensures the dissemination of your work within the agricultural and veterinary sectors. However, a traditional PDF article is only the "tip of the iceberg" of your research.
Sharing the digital objects supporting your study, such as raw data, detailed protocols, and data management plans, not only strengthens scientific integrity but also significantly increases your citations and publication impact.
Why Publish Open Science Objects?
Recent scientometric studies demonstrate that articles accompanied by open datasets and protocols receive up to 25% more citations than those without them. The primary advantages include:
- Enhanced Visibility and Citability: Assigning a Persistent Identifier (DOI) to your data or protocols enables other researchers to cite your methodology or datasets independently of the main article. Furthermore, it establishes a presence on open science platforms, creating multiple access points to your primary research.
- Transparency and Reproducibility: In the agricultural and veterinary sciences, where field conditions, climate, and animal models vary widely, methodological precision enables others to accurately validate or adapt your findings.
- Compliance with International Standards: Sharing research objects meets the requirements of science funding agencies that prioritize Open Access and FAIR principles (Findable, Accessible, Interoperable, and Reusable).
Recommended Open Science Tools
To efficiently structure and deposit your open science objects at no cost, we recommend using the following specialized platforms:
|
Open Science Object |
Recommended Platform |
Why use it? |
|
Data Management Plans (DMP) |
DMP Tool |
Design and publish Data Management Plans, including intermediate data, final outputs, long-term preservation, and ethical considerations. |
|
Data Management Plans (DMP) |
OSF (Open Science Framework) |
Enables experimental design pre-registration and workflow management from project inception. It assigns DOIs and ensures research traceability. |
|
Experimental Protocols |
Protocols.io |
Ideal for detailing step-by-step laboratory procedures, field trials, dosages, or analytical methods. It supports version control as protocols evolve. |
|
Software |
GitHub / Zenodo |
Enhances reproducibility for genomic data, crop simulation models, R/Python scripts, and biometric algorithms. Integration allows Zenodo to automatically archive GitHub "Releases" with citable DOIs. |
|
Datasets |
Mendeley Data |
A structured repository for raw and processed data (Excel tables, microscopic imagery, climate records). It provides citable DOIs and permanent access. Highly recommended. |
How to Integrate Open Science Objects into Your Submission
- Prepare and Deposit Your Objects: Upload your dataset to Mendeley Data, your protocol to Protocols.io, or register your project on OSF before finalizing your manuscript.
- Generate Links or DOIs: Obtain the persistent identifiers (DOIs) provided by each platform.
- Include a Data Availability Statement: In both your manuscript and your Cover Letter, provide direct citations or links to your digital objects in the dedicated section.
In-Text Citation Example:
"The dataset supporting the results of this study is available in Mendeley Data (DOI: 10.17632/xxxxx). The detailed field trial protocol is deposited in Protocols.io (DOI: 10.17504/protocols.io.xxxxx)."
Template: Data Availability and Open Science Resources Statement
Data Availability Statement
The authors confirm that the Open Science components supporting the findings and methodologies of this study are publicly and independently deposited to ensure transparency and reproducibility:
- Dataset: The raw and processed data [specify: agronomic variable tables / veterinary clinical records / physiological measurements] supporting the results are available in the Mendeley Data repository under the identifier DOI: [Insert DOI, e.g., https://doi.org/10.17632/xxxxxxx.1].
- Experimental Protocol: The step-by-step procedures for [specify: laboratory determinations / field trials / animal model management and dosing] are described on Protocols.io and can be accessed at DOI: [Insert DOI, e.g., https://doi.org/10.17504/protocols.io.xxxxxxx].
- Data Management Plan and Project Registration: The experimental design and Data Management Plan (DMP) for this research are registered on the Open Science Framework (OSF) and are accessible via: [Insert DOI or URL, e.g., https://doi.org/10.17605/OSF.IO/XXXXX].
Alternative Options (Case-Specific)
If your data is subject to specific restrictions, use one of the following standard clauses:
- For data available upon justified request:
"The data supporting the findings of this study are available upon reasonable request to the corresponding author [Name], due to [specify reason: commercial confidentiality / privacy protections for land owners or animal subjects]."
- For research where no new data was generated:
"Data sharing is not applicable to this article as no new datasets were generated or analyzed during this study."