Working with (digital) data
Digital scholarship nearly always involves working with digital data. Because working with is rather abstract, we often view data as artifacts that you can create, process, analyse, preserve, share and re-use. These activities can be viewed as a cycle, since re-using data can lead to creating new data. This cycle is sourced from the UK Data Service. There are various other cycles that are used to guide data management, discussed by Alex Ball in Review of Data Management Lifecycle Models (2012).
Collaborate on data with a VRE
Virtual Research Environments allow you to work together on a (data) project. See VREs for more information.
"Collaborative data maintenance"¶
The Collaborative Data Patterns website contains great explanations of things to think of when you work together on a dataset.
Giving access to data¶
The CDS promotes making your data [FAIR], especially when sharing it. Publishing your data has more on making your data available in FAIR ways.
Using Persistent URLs
See Persistent URLs for information about persistent URLs for your data.
Enriching resources is an excellent example of re-using data.
To get data, you may get datasets from data archives, from APIs or perhaps even by scraping them from webpages.