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Engineering: Managing your research data

Subjects: Engineering, Patents

Data repositories

There is not one definitive Engineering repository, but the following list provides some examples of major repositories that accept a variety of data.

You may also want to search for very subject-specific repositories on re3data.org.

Data management tools

Commercialising Intellectual Property?

The University of Oxford has a spin-out company called Isis Innovation Limited that can provide advice and further information to researchers thinking of commercialising intellectual property. How you share you research data will need to be considered in these situations.

What is data management?

What is Research Data Management?

All research projects will generate data in one form or another. Good data management practices will help you organise, store and retrieve data for use during your project and after it is completed.  You can find out more about the principles behind data management on the Research Data Management website - http://researchdata.ox.ac.uk/home/introduction-to-rdm/

Working with data

There are a number of practical activities and considerations involved with day-to-day management of research data. You can find out more about the different aspects of working with data using the links below.

Preservation

Storing your data in suitable formats and under suitable conditions helps ensure that it can be viewed and built upon by future generations of researchers. Find out more about preserving your research data here - http://researchdata.ox.ac.uk/preserving-your-data/

Sharing data

There are various legal and ethical issues you might need to think about before sharing your research data with others. Also, it's important to get credit for your data by having it cited correctly. You can find out more information about sharing data at the links below.

Tools, services and training

There are a variety of tools and services which can support you with different aspects of managing your research data from developing your data management plan to storing you data in an on-line repository. The University also offers a variety of training to help you manage your data effectively. You can find more information here - http://researchdata.ox.ac.uk/home/tools-services-and-training/

Citing data

A dataset can be cited in a similar way to how you would cite any other kind of source in a bibliography, although it may need to include extra details such as the version of a dataset you are referring to or what portion of data you are referencing from a larger dataset.

You can find an excellent guide to citing datasets from the Digital Curation Centre here - http://www.dcc.ac.uk/resources/how-guides/cite-datasets

Case studies

Here you will find some of examples of engineering research data management for a variety of projects in different disciplines of Engineering, illustrating good practices and/or challenges or areas for improvement.

Background reading for data management

Here are some suggested further reading on research data management and particular aspects of it. This list is not exhaustive, however, and so it is recommended you search library catalogues and online for further information on topics of particular relevance to your research data management needs.

Contacts

If you have any enquiries about data management at Oxford University, you can use the following address to e-mail the data management team -

researchdata@ox.ac.uk

Alternatively, you can contact your Subject Librarian for assistance.

Training

Links to on-line training or courses being offered.

List of Data Management Training Courses 
Here you will find a list of all of the training sessions in research data management available at Oxford University and further afield.
   
MANTRA  
The MANTRA course offers interactive tutorials to help you to understand data management and develop practical skills in managing data.

ORA Data for Oxford researchers

ORA-Data holds records about datasets created as part of research work at Oxford University. ORA-Data can also be used to deposit a dataset if there is no suitable subject, government or funder based repository available.