Relating data practices, types, and curation functions: An empirically derived framework.

Cragin, Melissa H.; Palmer, Carole L.; Chao, Tiffany C.

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https://hdl.handle.net/2142/30468 Copy

Description

Title

Relating data practices, types, and curation functions: An empirically derived framework.

Author(s)

• Cragin, Melissa H.
• Palmer, Carole L.
• Chao, Tiffany C.

Issue Date

2010-10

Keyword(s)

Data curation, scientific data, scientific work practice

Abstract

We present a general conceptual framework that maps relationships and dependencies among scientific data practices, types of data produced and used, and associated curation activities. As part of the Data Conservancy initiative, the framework is being elaborated through empirical studies of data practices in the earth sciences and life science and validated against use cases as curatorial services are developed around data being prepared for ingest into the repository. The framework can be applied more broadly for identifying and representing curation requirements and to support description and assessment of existing or planned curation infrastructure and services. It will support full accounts of the data products and workflows required to maintain the coherence and context of complex data collections.

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/30468

Sponsor(s)/Grant Number(s)

Institute of Museum and Library Services (LG-06-07-0032-07) and National Science Foundation (0830976)

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