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Collaborative practices with structured data: do tools support what users need?

Collaborative practices with structured data: do tools support what users need?
Collaborative practices with structured data: do tools support what users need?

Collaborative work with data is increasingly common and spans a broad range of activities - from creating or analysing data in a team, to sharing it with others, to reusing someone else’s data in a new context. In this paper, we explore collaboration practices around structured data and how they are supported by current technology. We present the results of an interview study with twenty data practitioners, from which we derive four high-level user needs for tool support. We compare them against the capabilities of twenty systems that are commonly associated with data activities, including data publishing software, wikis, web-based collaboration tools, and online community platforms. Our findings suggest that data-centric collaborative work would benefit from: structured documentation of data and its lifecycle; advanced affordances for conversations among collaborators; better change control; and custom data access. The findings help us formalise practices around data teamwork, and build a better understanding how people’s motivations and barriers when working with structured data.

Collaborative tools, Human data interaction, Structured data
1-14
ACM
Koesten, Laura
79e66d1b-2d8f-43df-a39b-60bc7749fb22
Tennison, Jeni
abfdd103-6089-427d-babb-56448595f2fa
Kacprzak, Emilia
fefc454d-82c1-49db-ad29-5f2b3a1de1f0
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Koesten, Laura
79e66d1b-2d8f-43df-a39b-60bc7749fb22
Tennison, Jeni
abfdd103-6089-427d-babb-56448595f2fa
Kacprzak, Emilia
fefc454d-82c1-49db-ad29-5f2b3a1de1f0
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67

Koesten, Laura, Tennison, Jeni, Kacprzak, Emilia and Simperl, Elena (2019) Collaborative practices with structured data: do tools support what users need? In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM. pp. 1-14 . (doi:10.1145/3290605.3300330).

Record type: Conference or Workshop Item (Paper)

Abstract

Collaborative work with data is increasingly common and spans a broad range of activities - from creating or analysing data in a team, to sharing it with others, to reusing someone else’s data in a new context. In this paper, we explore collaboration practices around structured data and how they are supported by current technology. We present the results of an interview study with twenty data practitioners, from which we derive four high-level user needs for tool support. We compare them against the capabilities of twenty systems that are commonly associated with data activities, including data publishing software, wikis, web-based collaboration tools, and online community platforms. Our findings suggest that data-centric collaborative work would benefit from: structured documentation of data and its lifecycle; advanced affordances for conversations among collaborators; better change control; and custom data access. The findings help us formalise practices around data teamwork, and build a better understanding how people’s motivations and barriers when working with structured data.

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More information

Published date: 4 May 2019
Venue - Dates: 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom, 2019-05-04 - 2019-05-09
Keywords: Collaborative tools, Human data interaction, Structured data

Identifiers

Local EPrints ID: 432335
URI: https://eprints.soton.ac.uk/id/eprint/432335
PURE UUID: ba0d19a6-a672-49f4-948a-1f5085f7f4e3
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 11 Jul 2019 16:30
Last modified: 31 Jul 2019 00:34

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Contributors

Author: Laura Koesten
Author: Jeni Tennison
Author: Emilia Kacprzak
Author: Elena Simperl ORCID iD

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