Sound Data Management Training

h1. WP1.2 Online Training Material

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We consider three stages of a research project, and the appropriate research data management considerations for each of those stages. The stages are:

* before the research;

* during the research;

* at the end of the research.

{{include(Before The Research)}}

{{include(During The Research)}}

h2. At The End Of The Research

Either the complete end of a research project or on completion of an identifiable unit of research (e.g. on publication of a paper based on your research).

* [[Archiving research data]]

* [[Publishing research data]]

* Reviewing the data management plan (possibly for the project final report)

Publication of the results of your research will require:

* Summarising the results

* Publishing the paper

Note that the EPSRC data management principles require sources of data to be referenced.

h2. Primary Investigator (PI)

The data management concerns of a PI will largely revolve around planning and appraisal of data management for research projects - both to make sure that they conform with institutional and funder requirements and to ensure that the data managment needs of the research project are met.

Areas of interest may involve:

* [[legislation|legalities]] (Freedom of Information, Copyright and Data Protection)

* data management plan

** covering the research council requirements

** during the project

** data archiving

** data publication

* After the project is completed, an appraisal of how the data was managed should be carried out as part of the project's "lessons learned"

Data management training should provide an overview of all the above, and keep PIs informed of any changes in the above that affect data management requirements.

The DCC DMP Online tool provides a series of questions which allow the user to build a data management plan which will match research council requirements.

h2. Overarching concerns

Human participation - ethics, data protection

Audio data - copyright

Storage - where ? how ? SLA ?

Short-term resilient storage for work-in-progress

Long-term archival storage for research data outputs

Curation of archived data - refreshing media and formats

Drivers - FoI, RCUK