果冻影院

Learn more about using the research data lifecycle to inform your data management planning

Contents

• What are research data at 果冻影院?
• What is the research data lifecycle?
• What is a Data Management Plan?
• Why are Data Management Plans useful?
• Before you get started
• DMP Training and Review Service
• 果冻影院 Research Data Policy
• DMPOnline

What are聽research data at 果冻影院?

According to the 果冻影院 Research Data policy, data are:聽鈥渇acts, observations or experiences on which an argument or theory is constructed or tested. Data may be numerical, descriptive, aural or visual. Data may be raw, abstracted or analysed, experimental or observational. Data include but are not limited to: laboratory notebooks; field notebooks; questionnaires; texts; audio files; video files; models; photographs; test responses鈥�.

There are three kinds of data:聽

1. Open - data which are freely available online;
2. Controlled/restricted聽 - data access is restricted on the basis of there being ethical, legal and/or commercial reasons prohitbiting their open release. Potential secondary users must meet certain criteria before access is given;聽
3. Closed - data which are permanently embargoed due to their nature.

What is the research data lifecycle?

The research data lifecycle models the different phases of the research process - from聽planning and preparation through to archiving and sharing - making your research and outputs discoverable to the wider research community and members of the public. There are four phases:

1. Planning and preparation -聽You've had an idea for a research study so it's time to start making plans and getting prepared. It's usually during this phase you will write a data management plan and perhaps submit it as part of a grant application.
2. Active research -聽You are now actively researching putting all those research plans into action.
3. Archiving, curating and preserving -聽The research is complete and it's time to archive your research outputs to preserve them for the longer-term.
4. Discovery, access and sharing -聽making your research discoverable to others for potential reuse can help to maximise research opportunities.

• Download high resolution聽Research Data Lifecycle听(笔顿贵)

What is a Data Management Plan?

A Data Management Plan (DMP) describes your planned and/or actioned data management and sharing activities. It is generally 1-3 pages in length and should cover the four phases of the research data lifecycle. It is generally written at the start of a research project and should be revisted at different stages of the project and updated where necessary. DMPs may be published in the 果冻影院 Research Data Repository and assigned a DOI.

When writing your plan, remember to check if any聽funder's policies and requirements聽apply to your rseearch. A聽range of how-to guides聽are also available to assist you in writing your plan.

Why are Data Management Plans useful?

In addition to often being a prerequisite to receiving certain grants, DMPs are useful聽for:

• maximising the research potential of existing research outputs by reusing and repurposing them
• thinking about and developing your strategy for issues such as data storage and long-term preservation, handling of sensitive data, data retention and sharing, early on in your research.
• anticipating legal, ethical and commercial exceptions to releasing data; deciding who can have access to data in the short and long term.
• estimating the costs of your research project, which can then be included in your project budget.

Before you get started

Here are a few tips to help you start writing a DMP:

• Verify which data management and data sharing policies apply - these could be institutional, funder or journal publisher-led.
• Identify whether you will need to enter into a data sharing agreement before datasets and other study materials may be shared. There could also be legal frameworks and copyright issues to be mindful of. There is more information about material transfer agreements.
• Where research involves living human participants, it is recommended you speak with the Data Protection team to confirm which data protection legislation apply. Where you are collaborating with partners based globally, confirm whether international data protection legislation apply to your research.
• Verify submission deadlines.

DMP Training and Review Service

The RDM team offers both face-to-face and online training courses on how to write a data management plan. Using the 果冻影院 DMP template,聽attendees have the opportnity to write a data management plan which they can take away with them and use as a basis for a more detailed plan of their data management and sharing activities.聽聽

For more help and advice, contact your Research Data Support Officers who can also review drafted 果冻影院 Data Management Plans if you send them in advance of submission (allow 1 to 2 weeks at least before your submission deadline).

果冻影院 Research Data Policy

The 果冻影院 Research Data Policy describes 果冻影院's expectations relating to data management and sharing within the wider Open Science context.聽

顿惭笔翱苍濒颈苍别听

, a free tool created by the DCC, provides a framework for creating your Data Management Plan. 果冻影院 guidance is now incorporated into DMPonline; see our further guidance on using the tool.