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The UNC School of Information and Library Science (SILS) ( University of North Carolina at Chapel Hill) offers a bachelor's degree in information science, a master's degrees in library science and information science, a master's degree in digital curation, and a doctoral degree in information and library science as well as an undergraduate minor, graduate certificate programs, and a post ...
A master data management tool can be used to support master data management by removing duplicates, standardizing data (mass maintaining), [5] and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data. Master data are the products, accounts and parties for which the ...
Data curation is the organization and integration of data collected from various sources. It involves annotation, publication and presentation of the data so that the value of the data is maintained over time, and the data remains available for reuse and preservation. Data curation includes "all the processes needed for principled and ...
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]
The digital repository audit method based on risk assessment (DRAMBORA) is a methodology and associated software-based toolkit developed by Digital Curation Centre (DCC) and DigitalPreservationEurope (DPE) to support the assessment of digital preservation repositories. The DRAMBORA toolkit is intended to facilitate internal audit of digital ...
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.
Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").
The cornerstone of digital preservation, "data integrity" refers to the assurance that the data is "complete and unaltered in all essential respects"; a program designed to maintain integrity aims to "ensure data is recorded exactly as intended, and upon later retrieval, ensure the data is the same as it was when it was originally recorded".