Engaging in E-Science through Project Partnership

This poster provides an overview of the role of academic and science libraries in DataONE, a distributed sustainable digital data preservation and access network for earth, environmental and ecological sciences funded as one of two initial DataNet projects by the National Science Foundation. The poster presents a case study highlighting (1) the role of librarians and libraries in DataONE, (2) the structure of the DataONE virtual organization, and (3) the kinds of services that libraries will provide as they develop their capacity to curate digital data. Librarians are involved at all stages of the project – proposal development, needs analysis, data collection, standards development, outreach and instruction, end-user support, LIS research, data curation, and preservation. DataONE uses inclusive organizational structures and processes to integrate digital, academic, and science librarians with research networks, governmental organizations, international organizations, data and metadata archives, professional societies, NGOs, the commercial sector, and synthesis and supercomputer centers/networks to form an economically and technologically sustainable virtual organization. The librarians involved in this project plan to build distributed services to provide user instruction, global virtual reference services, and support the dissemination of best practices for collecting "born archival" scientific data. Participating libraries will evolve to support the discovery and long-term (decades to centuries) preservation of diverse multi-scale, multi-discipline, and multi-national science data collected by biological (genome to ecosystem) and environmental (atmospheric, ecological, hydrological, and oceanographic) scientists, national and international research networks, and environmental observatories

Eagle-i record-level citation widget.

<p>Eagle-i record-level citation widget.</p

Record-level versioning and release-level versioning.

<p>Record-level versioning and release-level versioning.</p

Anatomy of a web-based identifier.

<p>An example of an exemplary unique resource identifier (URI) is below; it is comprised of American Standard Code for Information Interchange (ASCII) characters and follows a pattern that starts with a fixed set of characters (URI pattern). That URI pattern is followed by a local identifier (local ID)—an identifier which, by itself, is only guaranteed to be locally unique within the database or source. A local ID is sometimes referred to as an “accession.” Note this figure illustrates the simplest representation; nuances regarding versioning are covered in Lesson 6 and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2001414#pbio.2001414.g005" target="_blank">Fig 5</a>.</p

Desirable characteristics for database identifiers in the life sciences.

<p>Desirable characteristics for database identifiers in the life sciences.</p

Contributions and roles related to content as they correspond to identifier creation versus identifier reuse.

<p>The decision about whether to create a new identifier or reuse an existing one depends on the role you play in the creation, editing, and republishing of content; for certain roles (and when several roles apply) that decision is a judgement call. Asterisks convey cases in which the best course of action is often to correct/improve the original record in collaboration with the original source; the guidance about identifier creation versus reuse is meant to apply only when such collaboration is not practicable (and an alternate record is created). It is common that a given actor may have multiple roles along this spectrum; for instance, a given record in monarchinitiative.org may reflect a combination of (a) corrections Monarch staff made in collaboration with the original data source, (b) post-ingest curation by Monarch staff, (c) expanded content integrated from multiple sources.</p

A summary of the 10 recommendations and their direct or indirect impact on different kinds of identifier roles.

<p>A summary of the 10 recommendations and their direct or indirect impact on different kinds of identifier roles.</p