Esitys Kansalliskirjaston Kulttuuriperintöaineistot ja tutkimusdata --yhteistyön rajapintoja verkkotapahtumassa 4.3.2021. In this presentation I discussed research data management and how the Fairdata services enables implementing the FAIR data principles in research data publication.
The document outlines a road map for PID Forum Finland with 3 key steps: 1) Creating engagement around PIDs by raising awareness and building skills and trust. 2) Organizing management and funding by describing use cases, creating proofs of concept, and defining requirements. 3) Creating infrastructure by ensuring interoperability, building a resolver, and organizing support services. The overall goal is to make information traceable across different channels now and in the future.
Esitys kirjastoverkkopäivillä lokakuussa 2021. Puhuin tutkimusaineistoista kuvailun kohteena, pysyvistä tunnisteista ja joistakin muista asioista liittyen tutkimusdatan erityispiirteisiin.
Presentation at Digital Humanities in the Nordics 2020 conference in panel: Towards deterioration, disappearance or destruction? Discussing the critical issue of long-term sustainability of digital humanities projects
The document outlines a road map for PID Forum Finland with 3 key steps: 1) Creating engagement around PIDs by raising awareness and building skills and trust. 2) Organizing management and funding by describing use cases, creating proofs of concept, and defining requirements. 3) Creating infrastructure by ensuring interoperability, building a resolver, and organizing support services. The overall goal is to make information traceable across different channels now and in the future.
Esitys kirjastoverkkopäivillä lokakuussa 2021. Puhuin tutkimusaineistoista kuvailun kohteena, pysyvistä tunnisteista ja joistakin muista asioista liittyen tutkimusdatan erityispiirteisiin.
Presentation at Digital Humanities in the Nordics 2020 conference in panel: Towards deterioration, disappearance or destruction? Discussing the critical issue of long-term sustainability of digital humanities projects
In an expert webinar on April 15th 2020 we discussed (in Finnish) how the FAIR data principles affect service development in RDM services. I presented some relevant outputs from the FAIRsFAIR project. These are the slides (in English). The webinar will be published on the fairdata.fi service site https://www.fairdata.fi/koulutus/koulutuksen-tallenteet/
1) The document summarizes a report on requirements for FAIR (Findable, Accessible, Interoperable, Reusable) data persistence and interoperability.
2) It describes a 36-month, 10 million euro project involving 22 partners from 8 EU member states working on practical implementations of semantic interoperability across research infrastructures.
3) The report analyzes the current landscape of FAIR technologies, semantic artifacts, and infrastructure initiatives; identifies challenges around scope, terminology, and rapid development; and concludes that solutions must be user-friendly, context-sensitive, and transparent while promoting adoption of standards and registries.
Collections meet the researcher. Digitalization, disintegration and disillusi...Jessica Parland-von Essen
Presentation at the LAM3 seminar in Uppsala, 9th of October 2019. On digitalization, researchers and data in the context of cultural heritage collections. The slides mostly contain headings, but the two last slides include a list of relevant reading on the subject.
Presentation on how research data can be divided into categories and how this can help data management for both service providers and researchers. Paper will be published in the journal Informaatiotutkimus in December 2018.
This document discusses best practices for organizing, managing, and publishing research data. It recommends using standardized file naming and folder structures, documenting data through code books and metadata, selecting open formats, and considering issues like data security, versions, and citations. FAIR principles of findable, accessible, interoperable and reusable data are presented. Options in Finland for publishing and archiving research data include repositories like FSD Tietoarkisto and Zenodo. Adopting these practices helps ensure well-organized, documented data that can enable reproducibility and reuse.
This document discusses making data Findable, Accessible, Interoperable and Reusable (FAIR). It provides principles for each component and examples of metadata standards and repositories that help achieve FAIR data. Resources referenced include guidelines for assigning persistent identifiers to data and metadata, describing data with rich metadata using shared vocabularies, and indexing metadata in searchable resources to enable discovery and access.
The document discusses open science and how it has changed research practices. It defines open science as making research data, notes, and processes openly available for collaboration and reuse. It outlines benefits like increasing quality, impact and innovation. Barriers like publishing costs are mentioned. The document recommends openly licensing data and publications, using open peer review and platforms, and sharing materials like code and presentations. Proper data management is important for openness, reproducibility and ensuring research integrity.
This document discusses data management practices in research. It defines research data and emphasizes the importance of good data management for ensuring integrity, reproducibility and excellence in science. Key aspects of data management include planning, documentation, metadata, sustainability, and publication. Funders increasingly require and support open access to publications and research data. The document provides guidance and considerations for implementing responsible data management and open science practices.
In an expert webinar on April 15th 2020 we discussed (in Finnish) how the FAIR data principles affect service development in RDM services. I presented some relevant outputs from the FAIRsFAIR project. These are the slides (in English). The webinar will be published on the fairdata.fi service site https://www.fairdata.fi/koulutus/koulutuksen-tallenteet/
1) The document summarizes a report on requirements for FAIR (Findable, Accessible, Interoperable, Reusable) data persistence and interoperability.
2) It describes a 36-month, 10 million euro project involving 22 partners from 8 EU member states working on practical implementations of semantic interoperability across research infrastructures.
3) The report analyzes the current landscape of FAIR technologies, semantic artifacts, and infrastructure initiatives; identifies challenges around scope, terminology, and rapid development; and concludes that solutions must be user-friendly, context-sensitive, and transparent while promoting adoption of standards and registries.
Collections meet the researcher. Digitalization, disintegration and disillusi...Jessica Parland-von Essen
Presentation at the LAM3 seminar in Uppsala, 9th of October 2019. On digitalization, researchers and data in the context of cultural heritage collections. The slides mostly contain headings, but the two last slides include a list of relevant reading on the subject.
Presentation on how research data can be divided into categories and how this can help data management for both service providers and researchers. Paper will be published in the journal Informaatiotutkimus in December 2018.
This document discusses best practices for organizing, managing, and publishing research data. It recommends using standardized file naming and folder structures, documenting data through code books and metadata, selecting open formats, and considering issues like data security, versions, and citations. FAIR principles of findable, accessible, interoperable and reusable data are presented. Options in Finland for publishing and archiving research data include repositories like FSD Tietoarkisto and Zenodo. Adopting these practices helps ensure well-organized, documented data that can enable reproducibility and reuse.
This document discusses making data Findable, Accessible, Interoperable and Reusable (FAIR). It provides principles for each component and examples of metadata standards and repositories that help achieve FAIR data. Resources referenced include guidelines for assigning persistent identifiers to data and metadata, describing data with rich metadata using shared vocabularies, and indexing metadata in searchable resources to enable discovery and access.
The document discusses open science and how it has changed research practices. It defines open science as making research data, notes, and processes openly available for collaboration and reuse. It outlines benefits like increasing quality, impact and innovation. Barriers like publishing costs are mentioned. The document recommends openly licensing data and publications, using open peer review and platforms, and sharing materials like code and presentations. Proper data management is important for openness, reproducibility and ensuring research integrity.
This document discusses data management practices in research. It defines research data and emphasizes the importance of good data management for ensuring integrity, reproducibility and excellence in science. Key aspects of data management include planning, documentation, metadata, sustainability, and publication. Funders increasingly require and support open access to publications and research data. The document provides guidance and considerations for implementing responsible data management and open science practices.
2. Fairdata-palvelut ja tutkimusaineistojen pitkäaikaisäilytys
• Mitä on Fairdata?
• Tutkimusaineistot digitaalisessa ympäristössä
• Tutkimusaineistojen erityispiirteet
• Linkitetty tieto
• Tutkijaa palveleva palveluekosysteemi
2
4. 4
F
A
I
R
FINDABLE – LÖYDETTÄVÄ
• Olennaiset tiedot kuvailtu riittävän tarkasti
• Kuvailusivu ja ainutkertainen pysyvä tunniste
ACCESSIBLE – SAAVUTETTAVA
• Voidaan hakea internetistä
• Versiointi ja elinkaaren dokumentointi
• Muistosivu jos data on poistettu
INTEROPERABLE – YHTEENTOIMIVA
• Käytössä yleiset, dokumentoidut ja avoimet tiedostomuodot
RE-USABLE – UUDELLEENKÄYTETTÄVÄ
• Data on hyvin dokumentoitu ja ymmärrettävää
• Käyttöoikeudet selkeästi esillä
7. Fairdata-palvelut
• OKM:n tarjoama palvelu suomalaiselle tutkimukselle
• Tutkimusorganisaatiot voivat saada säilytystilaa, jota jakavat
edelleen tutkimusprojekteille
• Fairdata varmentaa aineistojen eheyden ja mahdollistaa
kuvailun, julkaisun ja pitkäaikaissäilytyksen
• Pitkäaikaissäilytys vaatii erillisen sopimuksenOKM:n sekä
CSC:n kanssa
• Lisää tietoa osoitteesta Fairdata.fi
8. Fairdata-palvelukokonaisuus
• Fairdata-kokonaisuus varmistaa tutkimuksen
todennettavuuden, toistettavuuden, sekä turvaa
tietoaineistojen pitkäaikaisen saatavuuden
• Sujuva siirtyminen eri palveluiden välillä
oKertakirjautuminen palvelukokonaisuuteen
oKuvailutietojen siirtyminen palveluiden välillä
• Kokonaisuuteen kuuluu
oSäilytyspalvelu IDA
oKuvailupalvelu Qvain
oHakupalvelu Etsin
oPitkäaikaissäilytyspalvelu Fairdata-PAS
8
9. 9
IDA Qvain Etsin
Pitkäaikaissäilytys
Tiedostojen
tallennus ja
järjestely
Tiedostojen
säilytys
muuttumatto-
massa tilassa
Aineistojen
kuvailu ja
julkaisu
Aineistojen
tarkastelu ja
käyttö
Valittujen aineistojen
paketointi ja siirto
pitkäaikaissäilytykseen
Aineiston
tuottaja Aineiston
hyödyntäjä