There is not one definitive Computer Science repository, but the following list provides some examples of major repositories that accept a variety of data.
A new University of Oxford research data policy was approved in December 2018 by the Research and Innovation Committee. The policy has been renamed to keep abreast with evolving scholarly language as the ‘Policy on the Management of Data Supporting Research Outputs’. This supersedes the Policy on the Management of Research Data and Records, which was in place between 2012 and 2018.
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/
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.
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/
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.
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/
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
Here you will find some examples of research data management for a variety of projects in different disciplines of Computer Science, illustrating good practices and/or challenges or areas for improvement.
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.
If you have any enquiries about data management at Oxford University, you can use the following address to e-mail the data management team -
Alternatively, you can contact your Subject Librarian for assistance.
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.
Links to on-line training or courses being offered.