Preserving the Essence: Identifying the Significant Properties of Social Science Research Data

Q2 Social Sciences

New Review of Information Networking Pub Date : 2015-07-01 DOI:10.1080/13614576.2015.1110404

Astrid Recker, Stefan Müller

引用次数: 2

Abstract

In the light of technological and cultural changes, a question that digital archives face is: Which characteristics of our assets must be preserved to keep them usable and authentic? The concept of significant properties, which can be thought of as the “essence” of a digital object, provides one possible answer. The GESIS Data Archive for the Social Sciences (DAS) currently determines the significant properties of the data it preserves. We describe the procedure used to determine the significant properties of our digital assets, present first results of our work, and give an outlook on work still to be done.

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保留本质:识别社会科学研究数据的重要属性

鉴于技术和文化的变化，数字档案面临的一个问题是:我们的资产的哪些特征必须保留，以保持它们的可用性和真实性?重要属性的概念，可以被认为是数字对象的“本质”，提供了一个可能的答案。GESIS社会科学数据档案(DAS)目前确定了它保存的数据的重要属性。我们描述了用于确定数字资产重要属性的程序，介绍了我们工作的初步结果，并对仍需完成的工作进行了展望。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

New Review of Information Networking Social Sciences-Education

CiteScore

2.10

自引率

0.00%

发文量

期刊介绍： Information networking is an enabling technology with the potential to integrate and transform information provision, communication and learning. The New Review of Information Networking, published biannually, provides an expert source on the needs and behaviour of the network user; the role of networks in teaching, learning, research and scholarly communication; the implications of networks for library and information services; the development of campus and other information strategies; the role of information publishers on the networks; policies for funding and charging for network and information services; and standards and protocols for network applications.