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Knowledge Complexity

Fact Sheet

Reporting

Results

Objective

One of the major terminological forces driving ICT development today is that of ‘big data.’ While the phrase may sound inclusive and integrative, in fact, ‘big data’ approaches are highly selective, excluding any input that cannot be effectively structured, represented, or, indeed, digitised.

Data of this messy, dirty sort is precisely the kind that humanities and cultural researchers deal with best. It will therefore be the contribution of the K-PLEX project to investigate these elements of humanities and cultural data, and the strategies researchers have developed to deal with them. In doing so it will remain at the margins of ICT so as to better shed light on the gap between analogue or augmented digital practices and fully computational ones. As such, it will expand our awareness of the risks inherent in big data and to suggest ways in which phenomena that resist datafication can still be represented (if only by their absence) in knowledge creation approaches reliant upon the interrogation of large data corpora.

K-PLEX approaches this challenge in a comparative, multidisciplinary and multisectoral fashion, focusing on 3 key challenges to the knowledge creation capacity of big data approaches: the manner in which data that are not digitised or shared become ‘hidden’ from aggregation systems; the fact that data is human created, and lacks the objectivity often ascribed to the term; the subtle ways in which data that are complex almost always become simplified before they can be aggregated. It will approach these questions via a humanities research perspective, but using social science research tools to look at both the humanistic and computer science approaches to the term ‘data’ and its many possible meanings and implications.

As such, K-PLEX project defines and describes key aspects of data that are at risk of being left out of our knowledge creation processes in a system where large scale data aggregation is becoming ever more the gold standard.

Programme(s)

H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

ICT-35-2016 - Enabling responsible ICT-related research and innovation

Call for proposal

H2020-ICT-2016-1

See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Address

College Green
2 Dublin

Ireland

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 136 160

Website

Contact the organisation

Participants (3)

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KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW

Netherlands

EU Contribution

€ 129 137

FREIE UNIVERSITAET BERLIN

Germany

EU Contribution

€ 137 087

TILDE SIA

Latvia

EU Contribution

€ 97 593

Project information

K-PLEX

Grant agreement ID: 732340

Project website

Start date

1 January 2017
End date

31 March 2018

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 499 978,75
EU contribution

€ 499 977

Coordinated by:

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Ireland

Periodic Reporting for period 1 - K-PLEX (Knowledge Complexity)

Reporting period: 2017-01-01 to 2018-03-31

Summary of the context and overall objectives of the project

The KPLEX project was created with a two-fold purpose: first, to expose potential areas of bias in big data research, and second, to do so using methods and challenges coming from a research community that has been relatively resistant to big data, namely the arts and humanities. The project’s founding supposition was that there are practical and cultural reasons why humanities research resists datafication, a process generally understood as the substitution of original state research objects and processes for digital, quantified or otherwise more structured streams of information. The project’s further assumption was that these very reasons for resistance could be instructive for the critical observation of big data research and innovation. To understand clearly the features of humanistic and cultural data, approaches, methodologies, institutions and challenges is to see the fault lines where datafication and algorithmic parsing may fail to deliver on what they promise, or may hide the very insight they propose to expose. As such, the aim of the KPLEX project has been to pinpoint areas where different research communities’ understanding of what the creation of knowledge is and should be diverge, and, from this unique perspective, propose where further work can and should be done.

Although the KPLEX project had only a short duration (15 months), its results point toward a number of central issues and possible development avenues for a future of big data research that is socially aware and informed, but which also harnesses opportunities to explore new pathways to technical innovations. The challenges for the future of this research and for its exploitation will be to overcome the social and cultural barriers between the languages and practices not only of research communities, but also of the ICT industry and policy sectors. The KPLEX results point toward clear potential value in these areas, for the uptake of the results, their application to meet societal challenges, and for improving public knowledge and action. Such reuse, however, may take significant investment and time, so as to establish common vocabulary and overturn long-standing biases and power dynamics. The potential benefits, however, could be great, in terms of technical, social and cultural innovation.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

KPLEX Project Logo

Project information

K-PLEX

Grant agreement ID: 732340

Project website

Start date

1 January 2017
End date

31 March 2018

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 499 978,75
EU contribution

€ 499 977

Coordinated by:

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Deliverables

Documents, reports (6)

Report on Language and Culture as Data

This report will summarise the findings of WP 5.

Report on Conceptualisations of Data

This report will summarise the findings of WP 2.

Report on Historical Data as Sources

This report will summarise the findings of WP 3.

Final report on the exploitation, translation and reuse potential for project results

This report will bring together the findings across the WPs, including recommendations for their further use beyond the project and its partners.

Intermediate Management Report

This report will coincide with the reaching of Milestone 2, and will consolidate the results of the the desk research phase and the development of the research instruments. It will be coordinated by WP 1, but will be based upon input from WPs 2-5.

Report on Data and Epistemic Impact

This report will summarise the findings of WP 4.

Open Research Data Pilot (1)

Publications

Peer reviewed articles (5)

Data, Metadata, Narrative: Barriers to the Reuse of Cultural Sources

Author(s): Jennifer Edmond, Georgina Nugent Folan

Published in: Springer Communications in Computer Information Science, 2017, Page(s) 253-260, ISSN 1865-0929

DOI: 10.1007/978-3-319-70863-8_25

Reconciling the Cultural Complexity of Research Data: Can we Make Data Interdisciplinary without Hiding Disciplinary Knowledge

Author(s): M. Doran, J. Edmond, G. Nugent-Folan

Published in: CODATA Data Science Journa, 2018, ISSN 1683-1470

Data, Data Processing, Data Provenance & Metadata. On the digital representation of complex cultural data

Author(s): J. Edmond, G. Nugent-Folan

Published in: International Journal of Metadata, Semantics and Ontologies, 2018, ISSN 1744-2621

Emotion research: A citation network analysis

Author(s): J. Lehmann, M. Mittelbach

Published in: Sage Emotion Review, 2018, ISSN 1754-0739

Lost in Datafication? - A Typology of (Emotion) Data Contextualisation

Author(s): J. Lehmann, E. Huber, T. Stodulka

Published in: Springer Integrative Psychological and Behavioral Science, 2018, ISSN 1932-4502

Other (7)

D2.1 KPLEX - Redefining what data is and the terms we use to speak of - 2018-03-30

Author(s): Nugent-Folan, G., Edmond, J.

Published in: 2018

D5.1 KPLEX - Report on Multilingual Big Data and Language Technology - 2018-03-30

Author(s): Kalnins, R., Vasiljevs, A.

Published in: 2018

H2020 Project K-PLEX: WP4 Report on Data, Knowledge Organisation and Epistemics

Author(s): Lehmann , Jörg; Stodulka , Thomas; Huber , Elisabeth

Published in: [Research Report] Freie Universtät Berlin. 2018, Issue 1, 2018

D3.1 KPLEX - Report on Historical Data as Sources - 2018-03-30

Author(s): Horsley, N., Priddy, M.

Published in: 2018

D4.1 KPLEX - Report on Data, Knowledge Organisation and Epistemics - 2018-03-30

Author(s): Huber, E., Lehmann, J., Stodulka, T.

Published in: 2018

D1.3 KPLEX - Intermediate Management Report – 2017-31-07.

Author(s): Doran, M., Edmond, J., Horsley, N., Kalnins, R., Huber, E., Lehmann, J., Nugent-Folan, G., Priddy, M., Stodulka, T.

Published in: 2018

D1.1 KPLEX - Final report on the exploitation, translation and reuse potential for project results – 2018-03-30

Author(s): Edmond, J., Horsley, N., Kalnins, R., Huber, E., Lehmann, J., Nugent-Folan, G., Priddy, M., Stodulka, T.

Published in: 2018

Book chapters (1)

Digitising Cultural Complexity: Representing Rich Cultural Data in a Big Data environment

Author(s): J. Edmond, G. Nugent-Folan

Published in: The Oxford Handbook of Digital Technology and Society, 2019

Project information

K-PLEX

Grant agreement ID: 732340

Project website

Start date

1 January 2017
End date

31 March 2018

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 499 978,75
EU contribution

€ 499 977

Coordinated by:

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Project information

K-PLEX

Grant agreement ID: 732340

Project website

Start date

1 January 2017
End date

31 March 2018

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 499 978,75
EU contribution

€ 499 977

Coordinated by:

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

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Last update: 11 April 2017

Record number: 206359

CORDIS

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Project information

Periodic Reporting for period 1 - K-PLEX (Knowledge Complexity)

Project information

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Publications

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