Born-digital big data and methods for history and the humanities
Born-digital big data and methods for history and the humanities
批准号:
AH/N006178/1
负责人:
Jane Winters
金额:
$3.34万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
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英文摘要
In recent years we have all become familiar with the notion of information overload, the digital deluge, the information explosion, and numerous variations on this idea. At the heart of this phenomenon is the growth of born-digital big data, a term which encompasses everything from aggregated tweets and Facebook posts to government emails, from the live and archived web to data generated by wearable and household technology. While there has been a growing interest in big data and the humanities in recent years, as exhibited notably in the AHRC's digital transformations theme, most academic research in this area has been undertaken by computer scientists and in emerging fields such as social informatics. As yet, there has been no systematic investigation of how humanities researchers are engaging with this new type of primary source, of what tools and methods they might require in order to work more effectively with big data in the future, and of what might constitute a specifically humanities approach to big data research. What kinds of questions will this data allow us to ask and answer? How can we ensure that this material is collected and preserved in such a way that it meets the requirements of humanities researchers? What insights can scholars in the humanities learn from ground-breaking work in the computer and social sciences, and from the archives and libraries who are concerned with securing all of this information?The proposed research Network will bring together researchers and practitioners from all of these stakeholder groups, to discern if there is a genuine humanities approach to born-digital big data, and to establish how this might inform, complement and draw on other disciplines and practices. Over the course of three workshops, one to be held at The National Archives in Kew, one at the Institute of Historical Research, University of London, and one at the University of Cambridge, the Network will address the current state of the field; establish the most appropriate tools and methods for humanities researchers for whom born-digital material is an important primary source; discuss the ways in which researchers and archives can work together to facilitate big data research; identify the barriers to engagement with big data, particularly in relation to skills; and work to build an engaged and lasting community of interest.The focus of the Network will be on history, but it will also encompass other humanities and social science disciplines. It will also include representatives of non-humanities disciplines, for example the computer, social and information sciences. Cross-disciplinary approaches and collaborative working are essential in such a new and complex area of investigation, and the Network relates to the current highlight notice encouraging the exploration of innovative areas of cross-disciplinary enquiry. While there has for some time been a recognition of the value of greater engagement between researchers in the humanities and the sciences in the development of new approaches to and understandings of born-digital big data, only very tentative first steps have been made towards realising this aim (for example forthcoming activity organised by the Turing Institute). The Network will provide a forum from which to launch precisely this kind of cross-disciplinary discussion, defining a central role for the humanities.During the 12 months of the project all members of the Network will contribute to a web resource, which will present key themes and ideas to both an academic and wider audience of the interested general public. External experts from government, the media and other relevant sectors will also be invited to contribute, to ensure that the Network takes account of a range of opinions and needs. The exchange of knowledge and experience that takes place at the workshops will also be distilled into a white paper, which will be published under a CC-BY licence in month 12 of the Network.
期刊论文(10)
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Insight workflow: Systematically combining human and computational methods to explore textual data
Insight 工作流程:系统地结合人类和计算方法来探索文本数据
DOI:
10.1002/asi.23767
发表时间:
2017
期刊:
Journal of the Association for Information Science and Technology
影响因子:
3.5
作者:
[Gill A]
通讯作者:
Gill A
The Historical Web and Digital Humanities: the Case of National Web Domains
历史网络和数字人文:国家网络域名的案例
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Winters, JF]
通讯作者:
Winters, JF
Negotiating the born-digital: a problem of search
协商天生的数字化:搜索问题
DOI:
10.1080/01576895.2019.1640753
发表时间:
2019
期刊:
Archives and Manuscripts
影响因子:
0.3
作者:
[Winters J]
通讯作者:
Winters J
DOI:
10.4135/9781526470546
发表时间:
2018-12
期刊:
影响因子:
--
作者:
[Niels Brügger;Ian Milligan]
通讯作者:
Niels Brügger;Ian Milligan
Debating New Approaches to History
讨论历史的新方法
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
[Winters, J]
通讯作者:
Winters, J
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