Identity, Store, and Preserve

Building on the work of the Data Rescue IG, the Data Conservation IG will both expand scope to all types of data (both digital and analog), and focus on decision-making topics including:

• How are data sets prioritized for rescue or conservation?
• How are risk factors defined, assessed, and/or categorized?
• How is funding prioritized and/or secured?

More information will be added as the group moves forward. 

FAIR Data Maturity Model: core criteria to assess the implementation level of the FAIR data principles

Software, and in particular source code, plays an important role in science: it is used in all research fields to produce, transform and analyse research data, and is sometimes itself an object of research and/or an output of research.

Unlike research data and scientific articles, though, software source code has only very recently been recognised as important subject matter in a few initiatives related to scholarly publication and archiving. These initiatives are now working on a variety of plans for handling the identification of software artifacts.