Sharing research data with the wider scientific community and the public is becoming accepted practice and is increasingly expected by funders and by publishers. Some of the reasons are:
While it might seem ideal to make all data openly available to everyone without restriction, all funders and publishers recognise that there are good reasons for not making particular datasets ‘Open’. The phrase ‘as open as possible; as closed as necessary’ is a good rule of thumb. These are some of the reasons why you might not make data openly available, and what you could do. Always check your funder's policy for what they expect.
| Why not share your research data? | |
|---|---|
| Reason | Possible mitigation |
|
Data protection – it would be impossible or disproportionate to anonymise the data sufficiently to avoid living persons being identifiable. |
Identify the particular datasets that this applies to and explain it in your DMP. It doesn't stop you making other datasets openly available. You can also provide metadata about the dataset, with information about whether/how access might be obtained and under what conditions. |
| Intellectual Property - releasing the data would compromise patent applications. | Identify the particular datasets that this applies to. Set a reasonable embargo on the data being released. Explain this in your DMP. Funders expect this kind of data to be made Open after a reasonable time period. |
| Intellectual Property - a third party owns the IP and will not allow the data to be made 'Open' | Identify the particular datasets that this applies to. Explain this in your DMP. If the data is available on another website (e.g. an image on a museum website), you could record the metadata about the dataset and provide a link to the third party website. |
| Confidentiality/Security - releasing the data would be a breach of confidentiality or security. | Identify the particular datasets that this applies to. Explain this in your DMP. You could record the metadata about the dataset (as long as this would not create a breach of confidentiality/security in itself), with information about whether/how access might be obtained and under what conditions. |
During, and especially towards the end of your project, you will need to make decisions about what will happen to your data after your research project is completed. Some of the elements you will need to consider are:
This process is known as data appraisal. You will have thought this through at a high level when producing your data management plan. However, you will need to carry out a detailed appraisal towards the end of the project. It is worth factoring in time and cost for carrying out this activity in your project plan and bid.
How to appraise and select research data is a useful guide from the Digital Curation Centre.
Data access statements are used in publications to describe where data directly supporting the published paper can be found, and under what circumstances it can be accessed. Statements are required by many funders and publishers.
Some journals provide a section for a data access statement, however where this is not the case you should still include a statement in your manuscript.
A data access statement should include:
It is not sufficient to suggest that interested parties contact the author for access to data.
Policy on Managing Research Data at DMU
"DMPs should ensure that research data are available for access and re-use wherever appropriate and with appropriate safeguards ..."
DMU offers the following as part of the Researcher Development Programme:
You can sign up for these via Resjourney
In addition, we recommend this web-based Research Data Management Course:
