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The Data Asset Framework or DAF is a data audit methodology developed by HATII at the University of Glasgow in conjunction with the Digital Curation Centre. Originally the Data Audit Framework, the Data Asset Framework is an interview protocol utilised by educational institutions to better understand their growing research data collections ...
The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...
Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.
The term "digital curation" was first used in the e-science and biological science fields as a means of differentiating the additional suite of activities ordinarily employed by library and museum curators to add value to their collections and enable its reuse [12] [13] [14] from the smaller subtask of simply preserving the data, a significantly more concise archival task. [12]
CASRAI develops and maintains the Contributor Roles Taxonomy (CRediT), which has become an ANSI/NISO standard. [4] CRediT provides a standardized method for recognizing diverse contributions to scholarly published work, defining 14 distinct roles including conceptualization, methodology, and data curation.
The ICPSR Summer Program in Quantitative Methods of Social Research [6] offers a comprehensive curriculum in research design, statistics, data analysis, and methodology. To ensure that data resources are available to future generations of scholars, ICPSR curates and preserves data, migrating them to new storage media and file formats as changes ...
Research data archiving is the long-term storage of scholarly research data, including the natural sciences, social sciences, and life sciences.The various academic journals have differing policies regarding how much of their data and methods researchers are required to store in a public archive, and what is actually archived varies widely between different disciplines.
Algorithmic curation, curation using computer algorithms; Content curation, the collection and sorting of information; Data curation, management activities required to maintain research data; Digital curation, the preservation and maintenance of digital assets; Evidence management, the indexing and cataloguing of evidence related to an event