
Developing preservation processes for a trusted digital repository will require the integration of new methods, policies, standards, and technologies. Digital repositories should be able to preserve electronic materials for periods at least comparable to existing preservation methods. Modern computing technology in general is barely fifty years old and few of us have seen or used digital objects that are more than ten years old. While traditional preservation practices are comparatively well-developed, lack of experience and lack of consensus raise some questions about how we should proceed with digital-based preservation processes. Can we preserve a digital object for at least one-hundred years? Can we answer questions such as “Is this object the digital original”? or “How old is this digital object”? What does it mean to be a trusted repository of digital materials? A basic premise of this article is that there are many technologies available today that will help us build trust in a digital preservation process and that these technologies can be readily integrated into an operational digital preservation framework.
Trusted repositories, Authentication, Roles, Digital objects, Digital libraries, Fedora Commons Repository Software, Digital signatures, Persistent identifiers, Digital Libraries, Digital architecture, Digital preservation
Trusted repositories, Authentication, Roles, Digital objects, Digital libraries, Fedora Commons Repository Software, Digital signatures, Persistent identifiers, Digital Libraries, Digital architecture, Digital preservation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 28 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
