The shift towards Open Science has transformed the field of academic publishing. A Data Availability Statement (DAS) is now a compulsory component in most high impact journals. This is what you are telling your readers and the editors that they can find the evidence of your claims.
Nonetheless, it is not always easy to write a DAS. Is it advisable to connect to a repository? What, in case your data is confidential? We have given clear illustrations in each case in this guide and how professional Journal Submission assistance can make this requirement very easy.
What is a Data Availability Statement?
A Data Availability Statement is a brief paragraph of your manuscript that explains the whereabouts of your research data and its availability. It also leads to transparency and will enable other researchers to substantiate your results.
Common Data Availability Statement Examples
The key to the first editorial screening is the need to select wording correctly. The following are the most normal situations that you will come across:
Information that is Accessible in a Repository
This is the diamond standard of most journals, such as Nature or PLOS One. You have to give a persistent identifier such as DOI.
- Template: The data supporting the results of the research are publicly accessible in [Repository Name] at [URL/DOI], reference number [Number].
Data Available on Request
If you have data that is excessively large to store in a repository, or information that needs monitoring to some extent, you can use this option.
- Sample: The information that validates the results of this study is accessible in the hands of the same author, [Author Initials], on reasonable demand.
Information Contained in the Article
When your data is small such that it can be incorporated in a table or as an extra file, then have this format.
- Sample: “The information that underlies the results of this study can be found in the article and its supplementary materials, the authors affirm.
Information under third party limitations
You also encounter cases when you work with data that a government agency or a commercial company owns and that you are not allowed to redistribute.
- Sample: The information supporting the results of this research is found at [Third Party Name]. There are limitations on the availability of these data which were licensed to use in this research.
Ethical or Privacy Limitations
In the case of clinical trials or social science investigation, the most crucial consideration is privacy in cases where human subjects are involved. You need to state the reason why the data is limited.
- Sample: “Since the data of the participants are sensitive information, the data sets that were obtained in the framework of the current work are not publicly available but can be obtained by the respective author on reasonable request, with the approval of the [Institutional Ethics Committee].
The reason why authors have problems with data statements
The fact that the DAS requirement is frustrating is common among many researchers. It makes you go through repository licenses, de-identify sensitive information, and fit your prospective journal to a certain house style.
Even a small error, such as a malfunctioning DOI link or an indistinct mention of a given data, may lead to a Return to Author message. This costs you weeks of publication. This is the point when professional Journal Submission helps prove invaluable.
The Solution of Journal Submission Assistance to Compliance
Eliminating the guesswork in the submission process is done at Fast Publications. Our Journal Submission service contains a thorough examination of your ethical statements. Here is how we help:
- Repository Selection: We can assist you in finding the optimal discipline or generalist repositories (such as Figshare or Zenodo) of your data.
- Wording Accuracy: We write the DAS to fit the verbatim linguistic needs of your target journal.
- Link Check: We cross-verify all the DOIs and URLs to make sure that the editors do not have any difficulties using your data.
- Privacy Protection: We recommend whether your data statement has adequate information without allowing participants to be identified.
The Effect of a Powerful Data Statement
An effective Data Availability Statement is not one that fits into a checklist. It increases the effect of your work in fact. Research has revealed that articles whose data are publicly available have much more citations.
Best Practices of Data Sharing
These are the best practices that you should remember before you click on submit:
- Store in Open Formats: Store your information in non-proprietary formats such as CSV or TXT files in order to be opened by anyone.
- Cite Your own Data: Add a formal reference to your dataset into your reference list.
- Be Proactive: You should have your data ready as you continue to do the research and not when it comes to the writing process.
Conclusion
The Data Availability Statement is one of the important pillars of contemporary research integrity. Regardless of whether you are storing data in a public cloud or storing it under a high ethical lock and key, what you say should be clear and correct.
Do not allow bureaucracy to slacken your professional life. You can move through these requirements with ease with the assistance of the right Journal Submission. Fast Publications is here to see that your manuscript is technically clean and fit to be seen by those around.
