Linking research information within the knowledge portal - the Bridge of Knowledge services for researchers
Author(s)
Issue Date
May 13, 2022
Publisher
euroCRIS
Source
Procedia Computer Science 211: 257-266 (2022)
Type
Poster
Abstract
In 2016, the Gdańsk University of Technology (Gdańsk Tech) launched the project titled "Multidisciplinary Open System Transferring Knowledge" (in Polish: "Multidyscyplinarny Otwarty System Transferu Wiedzy – MOST Wiedzy"). The acronym of the project (MOST Wiedzy) means "the Bridge of Knowledge". The project's main aim was to build an IT platform (mostwiedzy.pl) that supports sharing information about universities' achievements and the research potential of their researchers. The second stage of the project, the implementation of which began in 2018, is a continuation of the previous one. The "Bridge of Data" project (Bridge of Data – Multidisciplinary Open System Transferring Knowledge. Stage II Open Research Data) was established to support researchers in their activities regarding different Open Science layers. It provides both an open data repository and a range of additional services for researchers who want to share their research results openly. The project is unique in this part of Central and Eastern Europe. It involves three Pomeranian universities: Gdańsk University of Technology (leader), the University of Gdańsk, and the Medical University of Gdańsk. More universities and research institutes are now joining the consortium and will use the infrastructure that has been created
Description
Poster presented at the CRIS2022 conference in Dubrovnik.-- Event programme available at https://cris2022.srce.hr/#section-program
27 slides.-- Presentation delivered within the poster session on May 13th
URI
https://dspacecris.eurocris.org/handle/11366/2007
File(s)![Thumbnail Image]()
![Thumbnail Image]()
Name
Wałek_slides_CRIS2022_MOST-Wiedzy.pdf
Description
PDF presentation
Size
1.99 MB
Format
Adobe PDF
Checksum (MD5)
5e2a0c27a41abc203793579c36e4a30d
Name
Wałek-Krajewski_CRIS2022_Linking-research-information-within-the-knowledge-portal.pdf
Description
Poster abstract (PDF)
Size
127.45 KB
Format
Adobe PDF
Checksum (MD5)
c51d550c201a91db42173a48c1e3db65
Conference(s)
