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Digital Data Curation - Examining Needs for Digital Data Curators
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hedstrom, Margaret L. |
| Copyright Year | 2012 |
| Abstract | increases in volume, complexity and value, there is a growing recognition of the need for digital data curation. The demand for data curation is not limited to libraries, archives, museums and other cultural institutions. Government agencies, universities, scientific enterprises, and data-intensive private sector companies increasingly need enhanced capabilities to improve data quality, protect data from various threats, and to exploit data assets to their fullest. Digital curation is both a promising career track for information professionals and a skill needed by everyone who has responsibility for data- intensive work. This paper analyzes the critical skill sets that constitute data curation, recognizing that data curation entails substantive knowledge of data, information processing, application environments, and anticipated use. In cultural institutions, mastery of procedures and requirements is becoming secondary to skills in problem solving and innovative development of solutions. Data curators in scientific and business environments need a hybrid of core knowledge of data curation and deep knowledge of the specifics of the research domain or business processes that generate data. Effective education and training of data curators, therefore, demands attention to both the general principles and practices of data curation and the specific requirements of each domain. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://deepblue.lib.umich.edu/bitstream/handle/2027.42/135735/CulturalHeritageOnLine_Florence.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
