FAIR data and Open Science:: some insights from a work package in the PIGWEB project

Leslie Foldager

FAIR data and Open Science: some insights from a work package in the PIGWEB project

Leslie Foldager^*

^*Corresponding author for this work

Department of Animal and Veterinary Sciences - ANIVET Management and Modelling (MAMO)
Department of Molecular Biology and Genetics - Bioinformatics Research Centre (BiRC)

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research

Abstract

There is an increasing demand and awareness of making (public) scientific research transparent and accessible both for other researchers but also to other levels of society, known as the Open Science movement. Pillars of Open Science include sharing of data, code, workflows, and publications but also transparency of peer reviewing. The PIGWEB project is a European project funded under the EU Horizon 2020 programme that aims to strengthen the pig research community by providing and facilitating transnational access to research infrastructures. One of the work packages focused on data sharing according to the FAIR principles: Findable, Accessible, Interoperable and Reuseable. This included getting an overview of facilities and awareness but also providing workshops on Open Science and FAIR principles, and on tools needed for FAIR data management and practices. Aspects of sharing via data papers and repositories were also presented and worth consideration.

Original language	English
Title of host publication	Symposium i Anvendt Statistik 2025
Editors	Peter Linde
Number of pages	6
Place of publication	København
Publisher	Økonomisk Institut og Klinisk Institut, Syddansk Universitet & Symposium i Anvendt Statistik
Publication date	27 Jan 2025
Pages	49-54
ISBN (Print)	978-87-989370-5-0
Publication status	Published - 27 Jan 2025
Event	Symposium i Anvendt Statistik - Syddansk Universitet, Odense, Denmark Duration: 27 Jan 2025 → 28 Jan 2025 Conference number: 46 http://www.statistiksymposium.dk/

Conference

Conference	Symposium i Anvendt Statistik
Number	46
Location	Syddansk Universitet
Country/Territory	Denmark
City	Odense
Period	27/01/2025 → 28/01/2025
Internet address	http://www.statistiksymposium.dk/

Access to Document

http://www.statistiksymposium.dk/Symposium%202025%20hele%20bogen%20(10%20MB).pdfLicence: Unspecified

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PIGWEB
Nørgaard, J. V. (Project manager), Herskin, M. S. (Participant), Noel, S. J. (Participant), Pedersen, L. J. (Participant), Foldager, L. (Participant) & Amorim Franchi, G. (Participant)
01/03/2021 → 28/02/2026
Project: Research

1 Participation in or organisation af a conference
1 Lecture and oral contribution

Symposium i Anvendt Statistik
Foldager, L. (Participant)
27 Jan 2025 → 28 Jan 2025
Activity: Participating in or organising an event types › Participation in or organisation af a conference
FAIR data and Open Science: some insights from a work package in the PIGWEB project
Foldager, L. (Lecturer)
27 Jan 2025
Activity: Presentations, memberships, employment, ownership and other activities › Lecture and oral contribution

Cite this

@inproceedings{bc96168bda5c4b3494440658bcc19d74,

title = "FAIR data and Open Science:: some insights from a work package in the PIGWEB project",

abstract = "There is an increasing demand and awareness of making (public) scientific research transparent and accessible both for other researchers but also to other levels of society, known as the Open Science movement. Pillars of Open Science include sharing of data, code, workflows, and publications but also transparency of peer reviewing. The PIGWEB project is a European project funded under the EU Horizon 2020 programme that aims to strengthen the pig research community by providing and facilitating transnational access to research infrastructures. One of the work packages focused on data sharing according to the FAIR principles: Findable, Accessible, Interoperable and Reuseable. This included getting an overview of facilities and awareness but also providing workshops on Open Science and FAIR principles, and on tools needed for FAIR data management and practices. Aspects of sharing via data papers and repositories were also presented and worth consideration. ",

author = "Leslie Foldager",

year = "2025",

month = jan,

day = "27",

language = "English",

isbn = "978-87-989370-5-0",

pages = "49--54",

editor = "Peter Linde",

booktitle = "Symposium i Anvendt Statistik 2025",

publisher = "{\O}konomisk Institut og Klinisk Institut, Syddansk Universitet \& Symposium i Anvendt Statistik",

note = "Symposium i Anvendt Statistik ; Conference date: 27-01-2025 Through 28-01-2025",

url = "http://www.statistiksymposium.dk/",

}

Foldager, L 2025, FAIR data and Open Science: some insights from a work package in the PIGWEB project. in P Linde (ed.), Symposium i Anvendt Statistik 2025. Økonomisk Institut og Klinisk Institut, Syddansk Universitet & Symposium i Anvendt Statistik, København, pp. 49-54, Symposium i Anvendt Statistik, Odense, Denmark, 27/01/2025. <http://www.statistiksymposium.dk/Symposium%202025%20hele%20bogen%20(10%20MB).pdf>

FAIR data and Open Science: some insights from a work package in the PIGWEB project. / Foldager, Leslie.
Symposium i Anvendt Statistik 2025. ed. / Peter Linde. København: Økonomisk Institut og Klinisk Institut, Syddansk Universitet & Symposium i Anvendt Statistik, 2025. p. 49-54.

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research

TY - GEN

T1 - FAIR data and Open Science:

T2 - Symposium i Anvendt Statistik

AU - Foldager, Leslie

N1 - Conference code: 46

PY - 2025/1/27

Y1 - 2025/1/27

N2 - There is an increasing demand and awareness of making (public) scientific research transparent and accessible both for other researchers but also to other levels of society, known as the Open Science movement. Pillars of Open Science include sharing of data, code, workflows, and publications but also transparency of peer reviewing. The PIGWEB project is a European project funded under the EU Horizon 2020 programme that aims to strengthen the pig research community by providing and facilitating transnational access to research infrastructures. One of the work packages focused on data sharing according to the FAIR principles: Findable, Accessible, Interoperable and Reuseable. This included getting an overview of facilities and awareness but also providing workshops on Open Science and FAIR principles, and on tools needed for FAIR data management and practices. Aspects of sharing via data papers and repositories were also presented and worth consideration.

AB - There is an increasing demand and awareness of making (public) scientific research transparent and accessible both for other researchers but also to other levels of society, known as the Open Science movement. Pillars of Open Science include sharing of data, code, workflows, and publications but also transparency of peer reviewing. The PIGWEB project is a European project funded under the EU Horizon 2020 programme that aims to strengthen the pig research community by providing and facilitating transnational access to research infrastructures. One of the work packages focused on data sharing according to the FAIR principles: Findable, Accessible, Interoperable and Reuseable. This included getting an overview of facilities and awareness but also providing workshops on Open Science and FAIR principles, and on tools needed for FAIR data management and practices. Aspects of sharing via data papers and repositories were also presented and worth consideration.

M3 - Article in proceedings

SN - 978-87-989370-5-0

SP - 49

EP - 54

BT - Symposium i Anvendt Statistik 2025

A2 - Linde, Peter

PB - Økonomisk Institut og Klinisk Institut, Syddansk Universitet & Symposium i Anvendt Statistik

CY - København

Y2 - 27 January 2025 through 28 January 2025

ER -

FAIR data and Open Science: some insights from a work package in the PIGWEB project

Abstract

Conference

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Projects

PIGWEB

Activities

Symposium i Anvendt Statistik

FAIR data and Open Science: some insights from a work package in the PIGWEB project

Cite this