Top tips for best practice<\/span><\/h1> <\/div>\n<\/div>\n\n\n\t <\/div>\n\t \t<\/div>\n\t\t <\/div>\n\t \n\t<\/div>\n\t\n\t\n\t\n\t\n\t \t \n\t\t\t\n\t \t \t \n\t\t \n\n \n \n \n \n - \n \n \n <\/i> <\/i>\t\t\t Planning<\/span>\n <\/a>\n <\/div>\n \n \t\t\t \n\t\t\t\t
A data management plan (DMP) is a document that describes:<\/p>\n
\n- What data will be created<\/li>\n
- What policies will apply to the data<\/li>\n
- Who will own and have access to the data<\/li>\n
- What data management practices will be used<\/li>\n
- What facilities and equipment will be required<\/li>\n
- Who will be responsible for each of these activities.<\/li>\n<\/ul>\n
It will enable you think about and plan what you need to have in place to manage your data safely and efficiently.<\/p>\n
All new PhD students must start a DMP alongside their academic Needs Analysis. The DMP must be updated and reviewed before every progression review. Even if you are not doing a PhD you might still find writing a DMP useful.<\/p>\n
Take a look at our Research Data Management: Data Plan for your PhD<\/strong><\/a> as this offer advice on creating a basic DMP with links to further guidance (suitable for all).<\/p>\t\t\t <\/div>\n \n <\/div>\n <\/li>\n - \n \n \n <\/i> <\/i>\t\t\t Documentation<\/span>\n <\/a>\n <\/div>\n \n \t\t\t \n\t\t\t\t
Documentation is important in good data management.<\/p>\n
Documentation introduces your data, provides a detailed description of their key attributes, and contextualises them. Your documentation should describe what you did and why you made the choices you made.<\/p>\n
Documentation can be written at many \u201clevels\u201d and comes in many forms (as described below). Together, all of the documentation associated with a research project should answer a series of important questions (although any particular piece of documentation may only answer a subset of those questions).<\/p>\n
\n- What was\/is the context of data collection (empirical, theoretical, and\/or normative)?<\/li>\n
- How did you generate\/collect the data?<\/li>\n
- In what form are the data (e.g., \u201cinterview transcript\u201d)?<\/li>\n
- What are the data about (i.e., what is your research about)?<\/li>\n
- How are the data formatted, structured, and organised?<\/li>\n
- How did you transform or manipulate the data (e.g., modify format)?<\/li>\n
- How did you validate\/assure the quality of the data?<\/li>\n
- What ethical or legal limits (e.g., confidentiality, copyright) are there on access to\/use\/re-use of the data?<\/li>\n
- (Perhaps) How did you analyse the data?<\/li>\n<\/ul>\n
Depending on the type of research you are doing you may want to consider the use of:<\/p>\n
\n- Research or laboratory notebook<\/li>\n
- Experimental protocols<\/li>\n
- Codebooks<\/li>\n
- Diary<\/li>\n
- Register<\/li>\n
- Readme files<\/li>\n<\/ul>\n
This content has been reused from https:\/\/managing-qualitative-data.org\/modules\/2\/a\/<\/a>\u00a0<\/p>\nTake a look at the Data Documentation video produced by the University of Edinburgh at https:\/\/media.ed.ac.uk\/media\/1_16xz4vid<\/a>\u00a0<\/p>\t\t\t <\/div>\n \n <\/div>\n <\/li>\n - \n \n \n <\/i> <\/i>\t\t\t File naming <\/span>\n <\/a>\n <\/div>\n \n \t\t\t \n\t\t\t\t
Files are commonly saved within a folder structure. You should consider whether one big-flat folder for all your files or a hierarchical tree structure would be the most appropriate for the piece of work or project you are doing.\u00a0 A complex structure can encourage the use of shorter less meaningful file names that are dependent on that structure.\u00a0 This may mean that when the folder structure is removed, for example when you provide your data to a collaborator, the file names may have little or no meaning. To avoid this try to use names that match your environment and contain:<\/p>\n
\n- Something meaningful to you (such as what you are doing with the file)<\/li>\n
- Something meaningful to someone else (such as an experiment number or project name.<\/li>\n<\/ul>\n
Develop a system for file naming that works for your project or work, use it consistently and make sure it is part of the assigned metadata.\u00a0<\/p>\n
Read the\u00a0UK Data Service guide: Organising data<\/strong><\/a>.<\/p>\n\n- How will you name your files and describe your data so you and others can easily locate\/re-use the data?<\/li>\n
- Is there a discipline\/community standard?<\/li>\n<\/ul>\n
- \n
- \n \n \n <\/i> <\/i>\t\t\t Planning<\/span>\n <\/a>\n <\/div>\n\n \t\t\t\n\t\t\t\t
A data management plan (DMP) is a document that describes:<\/p>\n
- \n
- What data will be created<\/li>\n
- What policies will apply to the data<\/li>\n
- Who will own and have access to the data<\/li>\n
- What data management practices will be used<\/li>\n
- What facilities and equipment will be required<\/li>\n
- Who will be responsible for each of these activities.<\/li>\n<\/ul>\n
It will enable you think about and plan what you need to have in place to manage your data safely and efficiently.<\/p>\n
All new PhD students must start a DMP alongside their academic Needs Analysis. The DMP must be updated and reviewed before every progression review. Even if you are not doing a PhD you might still find writing a DMP useful.<\/p>\n
Take a look at our Research Data Management: Data Plan for your PhD<\/strong><\/a> as this offer advice on creating a basic DMP with links to further guidance (suitable for all).<\/p>\t\t\t <\/div>\n \n <\/div>\n <\/li>\n
- \n
\n \n <\/i> <\/i>\t\t\t Documentation<\/span>\n <\/a>\n <\/div>\n\n \t\t\t\n\t\t\t\tDocumentation is important in good data management.<\/p>\n
Documentation introduces your data, provides a detailed description of their key attributes, and contextualises them. Your documentation should describe what you did and why you made the choices you made.<\/p>\n
Documentation can be written at many \u201clevels\u201d and comes in many forms (as described below). Together, all of the documentation associated with a research project should answer a series of important questions (although any particular piece of documentation may only answer a subset of those questions).<\/p>\n
- \n
- What was\/is the context of data collection (empirical, theoretical, and\/or normative)?<\/li>\n
- How did you generate\/collect the data?<\/li>\n
- In what form are the data (e.g., \u201cinterview transcript\u201d)?<\/li>\n
- What are the data about (i.e., what is your research about)?<\/li>\n
- How are the data formatted, structured, and organised?<\/li>\n
- How did you transform or manipulate the data (e.g., modify format)?<\/li>\n
- How did you validate\/assure the quality of the data?<\/li>\n
- What ethical or legal limits (e.g., confidentiality, copyright) are there on access to\/use\/re-use of the data?<\/li>\n
- (Perhaps) How did you analyse the data?<\/li>\n<\/ul>\n
Depending on the type of research you are doing you may want to consider the use of:<\/p>\n
- \n
- Research or laboratory notebook<\/li>\n
- Experimental protocols<\/li>\n
- Codebooks<\/li>\n
- Diary<\/li>\n
- Register<\/li>\n
- Readme files<\/li>\n<\/ul>\n
This content has been reused from https:\/\/managing-qualitative-data.org\/modules\/2\/a\/<\/a>\u00a0<\/p>\n
Take a look at the Data Documentation video produced by the University of Edinburgh at https:\/\/media.ed.ac.uk\/media\/1_16xz4vid<\/a>\u00a0<\/p>\t\t\t <\/div>\n \n <\/div>\n <\/li>\n
- \n
\n \n <\/i> <\/i>\t\t\t File naming <\/span>\n <\/a>\n <\/div>\n\n \t\t\t\n\t\t\t\tFiles are commonly saved within a folder structure. You should consider whether one big-flat folder for all your files or a hierarchical tree structure would be the most appropriate for the piece of work or project you are doing.\u00a0 A complex structure can encourage the use of shorter less meaningful file names that are dependent on that structure.\u00a0 This may mean that when the folder structure is removed, for example when you provide your data to a collaborator, the file names may have little or no meaning. To avoid this try to use names that match your environment and contain:<\/p>\n
- \n
- Something meaningful to you (such as what you are doing with the file)<\/li>\n
- Something meaningful to someone else (such as an experiment number or project name.<\/li>\n<\/ul>\n
Develop a system for file naming that works for your project or work, use it consistently and make sure it is part of the assigned metadata.\u00a0<\/p>\n
Read the\u00a0UK Data Service guide: Organising data<\/strong><\/a>.<\/p>\n
- \n
- How will you name your files and describe your data so you and others can easily locate\/re-use the data?<\/li>\n
- Is there a discipline\/community standard?<\/li>\n<\/ul>\n
- \n
- \n
![\"page](\"https:\/\/generic.wordpress.soton.ac.uk\/researchmethods\/wp-content\/uploads\/sites\/308\/2021\/08\/page-4-of-4.png\")
<\/p> <\/div>\n<\/div>\n\n\n\t <\/div>\n\t \t<\/div>\n\t\t <\/div>\n\t \n\t<\/div>\n\t\n\t<\/div>\n","protected":false},"excerpt":{"rendered":"