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Love your Data – Takes steps to preserve it

Author: Ashling Hayes
Categories: research data management
When: Friday, February 15, 2019 - 09:30

Data preservation means maintaining access to data and files over time.

The first step towards data preservation is to implement good research data management policies. For data to be preserved, at minimum, it must be stored in a secure location, stored across multiple locations, and saved in file formats that will likely have the greatest utility in the future. This may seem like a lot of work but here’s some information on how to easily implement data preservation.

  1. Store in a secure location and across multiple locations. Choosing a data repository that will assist with preservation is the first step. Re3data.org is the best place to locate a suitable data repository. It’s a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets. These data repositories will have in-built preservation layers that will store multiple backups of their data
  2. File formats that will be usable in the future. File formats that are in widespread use, or are non-proprietary (e.g. open source – not owned by someone), will tend to retain a good chance of being useable in the future.  File formats which are Open, widely adopted, widely supported, with nothing embedded and lossless compression are more suitable from a data preservation point of view. One example of this is to store tabular data in csv rather than Microsoft excel. For more information check out the UK Data services recommended formats table.

If you wish to publish the data underlying your publications you can publish the data  in our Zenodo Community and make your publications Open Access by depositing the accepted manuscript in our repository ULIR

If you want more information or help with your Research Data Management, check out our libguide or contact Ashling.hayes@ul.ie


Love Data Week 2019 is taking place February 11 – 15. Follow along at #lovedataweek on twitter