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.
Metsäntutkimuslaitoksen verkkopalvelut nyt ja tulevaisuudessa (6.11.1998)Jarmo Saarikko
Alternative title: Web-services of the Finnish Forest Research Institute now and in the futre
Author: Jarmo Saarikko
Event: Metsä- ja puuala tietoverkoissa seminaari
Date: 1998-11-06
Language: fi
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.
Metsäntutkimuslaitoksen verkkopalvelut nyt ja tulevaisuudessa (6.11.1998)Jarmo Saarikko
Alternative title: Web-services of the Finnish Forest Research Institute now and in the futre
Author: Jarmo Saarikko
Event: Metsä- ja puuala tietoverkoissa seminaari
Date: 1998-11-06
Language: fi
CSC:n ja Avoin tiede ja tutkimus -hankkeen pääsihteeri Pirjo-Leena Forsström kertoo tutkijan tiedonhallinnan ja -tallentamisen käytännöistä. Hän valottaa, miten tutkija huolehtii VN TEAS -hankkeessa käytettävän ja syntyvän aineiston omistus-, hallinta- ja tekijänoikeuskysymyksistä, säilytyksestä ja saatavuudesta. Esitys pidettiin Valtioneuvoston kanslian vuorovaikutuskoulutuksessa 20.9.2017.
Helsinki Region Infoshare -esittely, avoin data ja mobiilisovellukset, 14.3.2012 luentokalvot Aalto-yliopiston kurssille Aalto T-111.5360 WWW Applications.
Esitys kirjastoverkkopäivillä lokakuussa 2021. Puhuin tutkimusaineistoista kuvailun kohteena, pysyvistä tunnisteista ja joistakin muista asioista liittyen tutkimusdatan erityispiirteisiin.
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.
CSC:n ja Avoin tiede ja tutkimus -hankkeen pääsihteeri Pirjo-Leena Forsström kertoo tutkijan tiedonhallinnan ja -tallentamisen käytännöistä. Hän valottaa, miten tutkija huolehtii VN TEAS -hankkeessa käytettävän ja syntyvän aineiston omistus-, hallinta- ja tekijänoikeuskysymyksistä, säilytyksestä ja saatavuudesta. Esitys pidettiin Valtioneuvoston kanslian vuorovaikutuskoulutuksessa 20.9.2017.
Helsinki Region Infoshare -esittely, avoin data ja mobiilisovellukset, 14.3.2012 luentokalvot Aalto-yliopiston kurssille Aalto T-111.5360 WWW Applications.
Esitys kirjastoverkkopäivillä lokakuussa 2021. Puhuin tutkimusaineistoista kuvailun kohteena, pysyvistä tunnisteista ja joistakin muista asioista liittyen tutkimusdatan erityispiirteisiin.
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.
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.
4. Best practice - bottom up
FORCE11 community of scholars, librarians, archivists, publishers
and research funders that has arisen organically to help facilitate
the change toward improved knowledge creation and sharing
The Research Data Alliance (RDA) was launched as a
community-driven organization in 2013 by the European
Commission, the United States Government's National Science
Foundation and National Institute of Standards and Technology,
and the Australian Government’s Department of Innovation with
the goal of building the social and technical infrastructure to
enable open sharing of data.
5. FAIR principles
Force11; elävä dokumentti http://datafairport.org/
Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific
data management and stewardship. Sci. Data 3:160018 doi:
10.1038/sdata.2016.18 (2016).
Täydentää Data Seal of Approval –data-arkistojen sertifikaattia
7. TO BE FINDABLE
F1. (meta)data are assigned a globally unique and
persistent identifier
F2. data are described with rich metadata (defined by R1
below)
F3. metadata clearly and explicitly include the identifier of
the data it describes
F4. (meta)data are registered or indexed in a searchable
resource
8. TO BE ACCESSIBLE
A1. (meta)data are retrievable by their identifier using a
standardized communications protocol
A1.1 the protocol is open, free, and universally implementable
A1.2 the protocol allows for an authentication and
authorization procedure, where necessary
A2. metadata are accessible, even when the data are no
longer available
9. TO BE INTEROPERABLE
I1. (meta)data use a formal, accessible, shared, and
broadly applicable language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles
I3. (meta)data include qualified references to other
(meta)data
10. TO BE REUSABLE
R1. meta(data) are richly described with a plurality of
accurate and relevant attributes
R1.1. (meta)data are released with a clear and accessible data
usage license
R1.2. (meta)data are associated with detailed provenance
R1.3. (meta)data meet domain-relevant community standards
11. Pysyvät tunnisteet - PID
Uniikkeja
Ikuisia linkkejä
Läpinäkymättömiä
Käytännössä tänään sidottuja verkko-
osoitteisiin tai verkon nimiavaruuksiin
Vaativat hallintaa ja resolvointia
12. Viittaaminen on linkittämistä
Datan linkittäminen
tekijät
tuotokset
rahoittajat
ohjelmistot
infrat
Vaikuttavuuden
mittaaminen
Viittaaminen
puutteellista
Muuttuvat aineistot
ja tekijyyden
monimuotoisuus
13. Pysyvät tunnisteet
JHS 193 Paikkatiedon
yksilöivät tunnukset
ELI European Legislation
Identifier
Tutkijatunniste ORCID
Persistent Uniform
Resource Locator PURL
Cool URI …?
Linking Open Data cloud diagram (2011), by Richard Cyganiak and
Anja Jentzsch. http://lod-cloud.net License: CC-BY-SA
14. Pysyvät tunnisteet
DOI versio 4.0 syyskuussa
2016
Avoin ja ajantasainen
laskeutumissivu
Saatavuustieto
Metatiedot
Muistosivu
URN, Kansalliskirjasto
resolvoi
15. DOI
Registration Agencies
m.m. Crossref, DataCite
DOI Kernel Metadata
Referent identifiers
Types
Links
Date
Data Dictionary
URN
Kansalliskirjastot
(NBN), IANA
Vahvasti standardoitu
Yhdistyy muihin esim
ISBN
“Tietomalli” niukka
Kehitetään lisää
toiminnallisuuksia
18. Muita käsitteitä
Tutkimustulos
Ratkaisu tutkimusongelmaan
Tutkimustuotos
Yksilöitävissä oleva ilmentymä, joka välittää
tietoa tehdystä tutkimuksesta ja siinä
syntyneistä tuloksista
PURL Internet Archive, DCMI
DBPedia WIkidata
ELI: Kaikki komponentit ovat valinnaisia, ja ne voidaan valita kansallisten vaatimusten pohjalta eikä niillä ole ennalta määriteltyä järjestystä.
URN architecture assumes a DNS-based Resolution Discovery Service (RDS) to find the service appropriate to the given URN scheme. However no such widely deployed RDS schemes currently exist.... DOI is not registered as a URN namespace, despite fulfilling all the functional requirements, since URN registration appears to offer no advantage to the DOI System. It requires an additional layer of administration for defining DOI as a URN namespace (the string urn:doi:10.1000/1 rather than the simpler doi:10.1000/1) and an additional step of unnecessary redirection to access the resolution service, already achieved through either http proxy or native resolution. If RDS mechanisms supporting URN specifications become widely available, DOI will be registered as a URN.
— International DOI Foundation, Factsheet: DOI (via Wikipedia)
https://datatracker.ietf.org/doc/draft-ietf-urnbis-rfc2141bis-urn/