U svijetu znanstvenih istraživanja upravljanje podacima postaje sve važniji element svakog projekta. Jedan od ključnih dokumenata koji osigurava pravilno upravljanje podacima u istraživačkim projektima je Plan upravljanja istraživačkim podacima (PUP). PUP nije samo administrativni zahtjev, već važan alat koji istraživačima pomaže da na sustavan način upravljaju podacima tijekom cijelog trajanja projekta, od prikupljanja podataka do njihovog arhiviranja ili dijeljenja.

Europska komisija u studenom 2024. objavila je revidiranu verziju Europske povelje o pristupu istraživačkim infrastrukturama. Povelja, prvi put predstavljena 2015. godine, sada je prilagođena novim potrebama znanstvene zajednice, s naglaskom na otvorenost, kvalitetu i suradnju.

At first glance, it seems as though progress was made towards opening up datasets for research purposes. Research funders increased support open data management standards and FAIR principles, more and more journals require the posting of foundational research data as appendices at the end of published papers. Datasets areare assigned DOIs to ensure they are always easily discoverable, and such citation methods also boost researchers' impact.

However, in reality it's a different picture. The global science evaluation system does not (yet) value publicly available data as it does articles in journals or books, which can potentially not only slow down but also completely halt the "open data revolution".

U srijedu, 23.2.2022. će se u 15:00 ONLINE preko Zooma održati 149. kolokvij Centra za znanstvene informacije:

Lovorka Čaja, Sanja Jurković, Institut Ruđer Bošković
STRAŠAN, STRAŠNIJI, PUP

Ulaskom znanosti u digitalno doba, povećava se produkcija istraživačkih podataka, a sve veća dostupnost mrežnih sadržaja zahtijeva razmišljanje o dugoročnom očuvanju podataka već u trenutku njihovog nastajanja. U kontekstu omogućavanja pristupa tim podacima i olakšavanju diseminacije znanja, 2014. godine formulirana je vizija o FAIR podacima. Službeno je predstavljena 2016. godine u časopisu Scientific Data objavljivanjem rada "The FAIR Guiding Principles for scientific data management and stewardship".

A data management plan (DMP) is a document that outlines the description of a dataset and all the activities planned or already carried out as part of research. In a DMP, it's necessary to define the dataset, describe the planned activities, select an appropriate location (e.g., a digital repository) for data storage, ensure access and use of the data, and inform about the tools needed for result validation and/or secondary data analysis. This openness to research data is supported by numerous global scientific institutions, such as the National Institutes of Health, the National Science Foundation, the Economic and Social Research Council, and the European Commission, which has introduced the requirement for data management plan submission for projects aiming to be part of the Horizon 2020 program, a requirement also being considered by the Croatian Science Foundation (CSF).