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

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 -