Clariah Tech Day: Controlled Vocabularies and Ontologies in Dataversevty
This presentation is about external CVs support in Dataverse, Open Source data repository. Data Archiving and Networked Services (DANS-KNAW) decided to use Dataverse as a basic technology to build Data Stations and provide FAIR data services for various Dutch research communities.
The presentation for the W3C Semantic Web in Health Care and Life Sciences community group by Slava Tykhonov, DANS-KNAW, the Royal Netherlands Academy of Arts and Sciences (October 2020). The recording is available https://www.youtube.com/watch?v=G9oiyNM_RHc
Ontologies, controlled vocabularies and Dataversevty
Presentation on Semantic Web technologies for Dataverse Metadata Working Group running by Institute for Quantitative Social Science (IQSS) of Harvard University.
Flexible metadata schemes for research data repositories - Clarin Conference...Vyacheslav Tykhonov
The development of the Common Framework in Dataverse and the CMDI use case. Building AI/ML based workflow for the prediction and linking concepts from external controlled vocabularies to the CMDI metadata values.
PoolParty Semantic Suite - LT-Innovate Industry Summit-2016 - BrusselsMartin Kaltenböck
Slides of the 'Technology Spotlight: PoolParty Semantic Suite (http://www.poolparty.biz)' by Martin Kaltenböck (Managing Partner of Semantic Web Company) on 17 May 2016 at the LT-Innovate Industry Summit 2016 at the International Auditorium in Brussels (http://www.lt-innovate.org/).
The European Open Science Cloud: just what is it?Carole Goble
Presented at Jisc and CNI leaders conference 2018, 2 July 2018, Oxford, UK (https://www.jisc.ac.uk/events/jisc-and-cni-leaders-conference-02-jul-2018). The European Open Science Cloud. What exactly is it? In principle it is conceived as a virtual environment with open and seamless services for storage, management, analysis and re-use of research data, across borders and scientific disciplines. How? By federating existing scientific data infrastructures, currently dispersed across disciplines and Member States. In practice, what it is depends on the stakeholder. To European Research Infrastructures it’s a coordinated mission to organise and exchange their data, metadata, software and services to be FAIR – Findable, Accessible, Interoperable, Reusable – and to use e-Infrastructures, either EU or commercial. To EU e-Infrastructures offering data storage and cloud services, it’s a funding mission to integrate their services, policies and organisational structures, and to be used by the Research Infrastructures. To agencies it’s a means to promote Open Science, standardisation, cross-disciplinary research and coordinated investment with a dream of a “one stop shop” for researchers. And for Libraries?
CLARIAH Toogdag 2018: A distributed network of digital heritage informationEnno Meijers
Slides of my keynote at the CLARIAH Toogdag 2018 on 9 March at the National Library of the Netherlands. The main topics were the development of the distributed digital heritage network and the alignment to and cooperation with the CLARIAH infrastructure and data. It also points at some of the current limitations of the semantic web technology.
The Climate Tagger - a tagging and recommender service for climate informatio...Martin Kaltenböck
The Climate Tagger - a tagging- and recommender service for climate information based on PoolParty Semantic Suite - slides of the talk by Sukaina Bharwani (Stockholm Environment Institute, SEI Oxford) and Martin Kaltenböck (Semantic Web Company, SWC Vienna) at the Taxonomy Boot Camp London 2016 (TBC London) taking place on 19.10.2016
Dataverse repository for research data in the COVID-19 Museumvty
The Covid-19 Museum has an ambition to create a platform to deposit, consult, aggregate and study heterogeneous data about the pandemics using features of a distributed web service. To achieve this purpose, Dataverse has been selected as a reliable FAIR data repository with built-in search engine and functionality that allows adding computing resources to explore archived resources both on data and metadata. Presentation by
Slava Tykhonov, DANS-KNAW (The Royal Netherlands Academy of Arts and Sciences). Université Paris Cité, 19 April 2022.
Controlled vocabularies and ontologies in Dataverse data repositoryvty
External controlled vocabularies support implementation is one of the most asked features by research communities. Slides for the Dataverse Community Meeting 2021 at Harvard University
Clariah Tech Day: Controlled Vocabularies and Ontologies in Dataversevty
This presentation is about external CVs support in Dataverse, Open Source data repository. Data Archiving and Networked Services (DANS-KNAW) decided to use Dataverse as a basic technology to build Data Stations and provide FAIR data services for various Dutch research communities.
The presentation for the W3C Semantic Web in Health Care and Life Sciences community group by Slava Tykhonov, DANS-KNAW, the Royal Netherlands Academy of Arts and Sciences (October 2020). The recording is available https://www.youtube.com/watch?v=G9oiyNM_RHc
Ontologies, controlled vocabularies and Dataversevty
Presentation on Semantic Web technologies for Dataverse Metadata Working Group running by Institute for Quantitative Social Science (IQSS) of Harvard University.
Flexible metadata schemes for research data repositories - Clarin Conference...Vyacheslav Tykhonov
The development of the Common Framework in Dataverse and the CMDI use case. Building AI/ML based workflow for the prediction and linking concepts from external controlled vocabularies to the CMDI metadata values.
PoolParty Semantic Suite - LT-Innovate Industry Summit-2016 - BrusselsMartin Kaltenböck
Slides of the 'Technology Spotlight: PoolParty Semantic Suite (http://www.poolparty.biz)' by Martin Kaltenböck (Managing Partner of Semantic Web Company) on 17 May 2016 at the LT-Innovate Industry Summit 2016 at the International Auditorium in Brussels (http://www.lt-innovate.org/).
The European Open Science Cloud: just what is it?Carole Goble
Presented at Jisc and CNI leaders conference 2018, 2 July 2018, Oxford, UK (https://www.jisc.ac.uk/events/jisc-and-cni-leaders-conference-02-jul-2018). The European Open Science Cloud. What exactly is it? In principle it is conceived as a virtual environment with open and seamless services for storage, management, analysis and re-use of research data, across borders and scientific disciplines. How? By federating existing scientific data infrastructures, currently dispersed across disciplines and Member States. In practice, what it is depends on the stakeholder. To European Research Infrastructures it’s a coordinated mission to organise and exchange their data, metadata, software and services to be FAIR – Findable, Accessible, Interoperable, Reusable – and to use e-Infrastructures, either EU or commercial. To EU e-Infrastructures offering data storage and cloud services, it’s a funding mission to integrate their services, policies and organisational structures, and to be used by the Research Infrastructures. To agencies it’s a means to promote Open Science, standardisation, cross-disciplinary research and coordinated investment with a dream of a “one stop shop” for researchers. And for Libraries?
CLARIAH Toogdag 2018: A distributed network of digital heritage informationEnno Meijers
Slides of my keynote at the CLARIAH Toogdag 2018 on 9 March at the National Library of the Netherlands. The main topics were the development of the distributed digital heritage network and the alignment to and cooperation with the CLARIAH infrastructure and data. It also points at some of the current limitations of the semantic web technology.
The Climate Tagger - a tagging and recommender service for climate informatio...Martin Kaltenböck
The Climate Tagger - a tagging- and recommender service for climate information based on PoolParty Semantic Suite - slides of the talk by Sukaina Bharwani (Stockholm Environment Institute, SEI Oxford) and Martin Kaltenböck (Semantic Web Company, SWC Vienna) at the Taxonomy Boot Camp London 2016 (TBC London) taking place on 19.10.2016
Dataverse repository for research data in the COVID-19 Museumvty
The Covid-19 Museum has an ambition to create a platform to deposit, consult, aggregate and study heterogeneous data about the pandemics using features of a distributed web service. To achieve this purpose, Dataverse has been selected as a reliable FAIR data repository with built-in search engine and functionality that allows adding computing resources to explore archived resources both on data and metadata. Presentation by
Slava Tykhonov, DANS-KNAW (The Royal Netherlands Academy of Arts and Sciences). Université Paris Cité, 19 April 2022.
Controlled vocabularies and ontologies in Dataverse data repositoryvty
External controlled vocabularies support implementation is one of the most asked features by research communities. Slides for the Dataverse Community Meeting 2021 at Harvard University
SSHOC: Social Sciences and Humanities Open Cloud
Realising the Social Sciences and Humanities part of the European Open Science Cloud
General Presentation of the SSHOC project - 14 May 2019
Public micro mobility services (bikes, e-bikes, e-scooters) have a direct impact on the environment and the low-carbon economy. In parallel, sensing/monitoring urban air quality is a known need for any smart city to raise population awareness on health risks. ERMES is a technology transfer experiemnt project, supported by H2020 Smart4All aimed at improving the functionality of the air quality sensor kit of Cyclopolis to be safely mounted on public micro mobility fleets. It is enhanced with LoraWAN connectivity by exploiting the LoRaWAN@NOI network (https://lorawan.beacon.bz.it/) and will reduce the power consumption of the sensor kit. The system benefits of the the open source Chirpstack project and the data collected are going to be stored on InfluxDB, shared through and open RESTfull API. ERMES will provide the public shared mobility market with a reliable data and information service for smart cities.
Presentation from Daan Broeder (KNAW, CLARIN ERIC) on SH & eInfra Projects at the EOSC-hub Week, 10 May 2019.
EOSC for Social Sciences and Humanities panel
Worried about the learning curve to introduce Deep Learning in your organization? Don’t be. The DEEP-HybridDataCloud project offers a framework for all users, including non-experts, enabling the transparent training, sharing and serving of Deep Learning models both locally or on hybrid cloud system. In this webinar we will be showing a set of use cases, from different research areas, integrated within the DEEP infrastructure.
The DEEP solution is based on Docker containers packaging already all the tools needed to deploy and run the Deep Learning models in the most transparent way. No need to worry about compatibility problems. Everything has already been tested and encapsulated so that the user has a fully working model in just a few minutes. To make things even easier, we have developed an API allowing the user to interact with the model directly from the web browser.
Decentralised identifiers and knowledge graphs vty
Building an Operating System for Open Science: data integration challenges, Dataverse data repository and knowledge graphs. Lecture by Slava Tykhonov, DANS-KNAW, for the Journées Scientifiques de Rochebrune 2023 (JSR'23).
Decentralised identifiers for CLARIAH infrastructure vty
Slides of the presentation for CLARIAH community on the ideas how to make controlled vocabularies sustainable and FAIR (Findable, Accessible, Interoperable, Reusable) with the help of Decentralized Identifiers (DIDs).
Building collaborative Machine Learning platform for Dataverse network. Lecture by Slava Tykhonov (DANS-KNAW, the Netherlands), DANS seminar series, 29.03.2022
Flexibility in Metadata Schemes and Standardisation: the Case of CMDI and DAN...vty
Presentation at ISKO Knowledge Organisation Research Observatory. RESEARCH REPOSITORIES AND DATAVERSE: NEGOTIATING METADATA, VOCABULARIES AND DOMAIN NEEDS
CLARIN CMDI use case and flexible metadata schemes vty
Presentation for CLARIAH IG Linked Open Data on the latest developments for Dataverse FAIR data repository. Building SEMAF workflow with external controlled vocabularies support and Semantic API. Using the theory of inventive problem solving TRIZ for the further innovation in Linked Data.
Flexible metadata schemes for research data repositories - CLARIN Conference'21vty
The development of the Common Framework in Dataverse and the CMDI use case. Building AI/ML based workflow for the prediction and linking concepts from external controlled vocabularies to the CMDI metadata values.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
insect taxonomy importance systematics and classification
SSHOC Dataverse in the European Open Science Cloud
1. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
SSHOC
Dataverse in the
European Open Science Cloud
Marion Wittenberg (DANS) task leader
Slava Tykhonov (DANS) lead developer
European Dataverse Workshop 2020
23-24 January 2020
Tromsø, UiT The Arctic University of Norway
2. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Duration: 40 months
(January 2019 – 30 April 2022)
Partners: 47
(20 beneficiaries + 27 LTPs)
SSH ESFRI Landmarks and Projects
& international SSH data infrastructures
Project budget:
€ 14,455,594.08
Type of action & funding:
Research and Innovation action
(INFRAEOSC-04-2018)
Project website:
www.SSHOpenCloud.eu
Objectives:
• creating the social sciences and humanities (SSH) part of European Open Science Cloud (EOSC)
• maximising re-use through Open Science and FAIR principles (standards, common catalogue, access control, semantic techniques, training)
• interconnecting existing and new infrastructures (clustered cloud infrastructure)
• establishing appropriate governance model for SSH-EOSC
Project:
3. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Task 5.2 Hosting and sharing data repositories
Objective
Development of a research data repository service on EOSC, for
SSH institutions currently without such a facility for their
designated communities
Deliverables
After 38 months: Data repository service running on EOSC
After 40 months: Report on principles of governance and
sustainability of the data repository service
4. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
History of task 5.2
To investigate how Dataverse can be used as a Research Data
Management service for CESSDA Service Providers
CESSDA SaW project
CESSDA DataverseEU project
5. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
CESSDA SaW project 2016-2017 (EU Horizon 2020)
Project for Strengthening and Widening CESSDA (Consortium of
Social Science Data Archives)
WP4 – Strengthening and widening through knowledge exchange
Task about how CESSDA Service Providers could help each other
to become more mature
DANS offered a test environment of Dataverse to run experiments
Pipeline to migrate metadata from NESSTAR to Dataverse
Localisation of Dataverse (translation and adjustment of metadata)
Connection from Dataverse to Islandore
Archive in a box
6. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
CESSDA workplan project 2018 - DataverseEU
POC how to make Dataverse CESSDA compliant
Creating Docker images for installation on CESSDA Google Cloud
Experiments with Kubernetes infrastructure
Translations by partners
Adaptation to support CESSDA metadata Model (CMM)
DA|RA PiD plugin development
Support of Controlled vocabularies (CESSDA CV Service)
CESSDA Partners: DANS, AUSSDA, ADP, SND, TARKI, GESIS
7. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
SSHOC task 5.2 Hosting and sharing data repositories
Makes use of Dataverse software
4 ERICs: DARIAH, CLARIN, EHRIS and CESSDA
Building mature infrastructure based on requirements of involved
communities
Investigating sustainable governance models
Training Service Providers and institutes how to use Dataverse as
a service
8. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Partners SSHOC task 5.2
9. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Development process
DataverseSSHOC project has two parallel tracks of the development:
● Core development team is working on the modification and
extension of the Dataverse core functionality.
● The application development team will create new or will integrate
existent tools that will be published on Dataverse App Store website.
Our goal is to build the distributed and mature data infrastructure based
on sustainable microservices.
10. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Development methodology
We follow SCRUM with quick but small updates, all new functionality will go through DTAP
(development, testing, acceptance and production) pipeline:
local (own PC) – test (cloud) – acceptance (cloud) – production (cloud)
11. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
DataverseEU deployment in CESSDA
Cloud
Docker Compose for the local development and testing
Kubernetes (K8s) for the deployment of services in the Cloud
(CI/CD pipeline with Jenkins and Helm)
12. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Services in European Open Science Cloud
(EOSC)
● EOSC requires the level 8 of maturity (at
least)
● we need the highest quality of software
to be accepted as a service
● clear and transparent evaluation of
services is essential
● the evidence of technical maturity is the
key to success
● the limited warranty will allow to stop
out-of-warranty services
13. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Testing process for the core and apps
Testing process follows the CESSDA maturity model
https://zenodo.org/record/2591055#.XKR6ny2B2u5
Important: every change of Dataverse functionality should be supplied with
unit tests, changes of external functionality should get Selenium scenarios.
Goal: to score as high as possible according to CESSDA maturity model
14. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Testing procedures
● Writing unit tests (Java) for core development team
● Integration tests (Selenium) for app development team
● Performance/stress tests (Apache JMeter) before Dataverse will go to
Acceptance/Production
15. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Quality Assurance (QA) as a community service
Selenium IDE allows
to create and replay
all UI tests in your
browser
Shared tests can be
reused by Dataverse
CI/CD pipeline
Let’s work together
on it!
16. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Community-driven QA plan
Download test-suite with all tests provided by community
Install Selenium IDE in Google Chrome
Create new project in Selenium and upload tests
Run all tests and provide feedback back to the community
Everybody can create a new tests specific to your requirements, record and
share with others
more contributors will bring even more maturity of Dataverse services with
CI/CD pipeline
It means Dataverse maintenance cost will start to drop down
maturity of the community = maturity of services
17. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Dataverse App Store
Let’s build different services out of tools!
Data preview: DDI Explorer, Spreadsheet/CSV, PDF, Text files, HTML,
Images, video render, audio, JSON, GeoJSON/Shapefiles/Map, XML
Interoperability: external controlled vocabularies (CESSDA CV Manager)
Data processing: NESSTAR DDI migration tool
Linked Data: RDF compliance including SPARQL endpoint
Federated login as a service (OAuth/Shibboleth in the same installation)
18. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Applications maturity level
Every software package should follow the same CESSDA Maturity Model to
be accepted as a service.
Must have: k8s infrastructure with upstream Docker images, warranty
statement, documentation, unit tests, Selenium tests, jenkins pipeline
Running demonstration service will allow to create the connection to your
own Dataverse
19. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Multilingual support
DataverseEU will run Weblate as a service for the user interface, metadata
schema and SOLR translation.
We’ve developed an experimental but adjustable pipeline for multilingual
support that allows to download and synchronize all translations available in
Dataverse Consortium github and provides easy access for translators to
keep all properties up-to-date.
20. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Weblate as Dataverse app
21. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Controlled Vocabularies support
22. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Who is going to benefit from SSHOC?
(European) (SSH) institutes and researchers will be offered a
Dataverse installation on the cloud
(European) (SSH) institutes will be offered a Dataverse archive
in a box solution for their own purposes
Many of the features to be developed in SSHOC will benefit
also other Dataverse installations / communities
23. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
Thank you for your attention!
marion.wittenberg@dans.knaw.nl
vyacheslav.tykhonov@dans.knaw.nl
https://www.sshopencloud.eu
info@sshopencloud.eu
@SSHOpenCloud
/in/sshopencloud
Join our community
