Presentation at "Theory Days – 2014" in Ratnieki, Latvia, 2-5.10.2014 http://home.lu.lv/~df/tdays-ratnieki/

1. National Research Data Archive
MIDAS: development decisions
and usage peculiarities
Saulius Maskeliūnas
Vilnius University Institute of Mathematics and Informatics
Akademijos str. 4, Vilnius LT-08663, Lithuania
.

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Content
1. Introductory facts about
National Research Data Archive (MIDAS) project
2. Implementation aims and principles of MIDAS
3. Planned MIDAS outcomes and peculiarities
4. MIDAS data mining tool (DAMIS)
5. Conclusions
6. Demonstration of MIDAS
7. Demonstration of DAMIS

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1. Introductory facts about
MIDAS project (1)
• Project Title: National Open Access Research
Data Archive (LT: Nacionalinis atviros prieigos
Mokslo Informacijos Duomenų Archyvas, MIDAS)
• Lead institution: Vilnius University www.vu.lt
• Project partner: Vilnius University Hospital
Santariškių Klinikos (Santariškės Clinics) santa.lt
• Project participants: 13 institutions of
science and studies, and medical institutions

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1. Introductory facts about
MIDAS project (2)
• Funded by: EU Structural Funds and
national budget
• Project budget: ~ € 4.34M (i.e., almost 15M LTL)
• Duration: 40 months (start date: January 1, 2012 ,
end date: June 30, 2014  April 30, 2015)
• Current status:
– technical infrastructure: not installed yet;
– software development: beginning of 2nd iteration.

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2. Implementation aims
and principles of MIDAS
MIDAS implementation purpose
• to establish the infrastructure that enables
collection, organizing and storage of empirical
and research data (with corresponding metadata),
ensuring free, convenient, interactive search,
access and analysis of data.

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Prospective MIDAS users
• Researchers, lecturers, professors, students;
• Science and studies institutions
[and/or their representatives];
• Institutions which present research data
(e.g., hospitals),
• Research and development (R&D) enterprises;
• Public administration institutions
which use R&D statistical data;
• other interested physical and judicial persons.

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Development principles
• privacy and security
(i.e., information confidentiality,
integrity and non-repudiation)
• usability
• accessibility
(functioning 24 hours per day, 7 days per week)
• extensibility (i.e., software architecture scaling
in cases of incorporation of additional hardware)

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MIDAS compatibility
• MIDAS archive will be based on usage of open
code software, XML format and other open
metadata, bibliographic, information retrieval
standards (CERIF, CERIF for Datasets,
CIF, DICOM, Dublin Core, MARC21,
ISO/IEC 11179-1:2004, OAI-PMH, etc.).
• That will ensure compatibility with other
information systems, data archives and registries
in Lithuania and internationally
(e.g., Data Citation Index of Thomson Reuters
http://thomsonreuters.com/data-citation-index/ ).

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Integration with other
data archives and registers
• Lithuanian Academic E-Library eLABa www.elaba.lt
• Lithuanian Data Archive for Social Sciences and
Humanities LiDA www.lidata.eu/en
• Lithuanian Networked Digital Library of Theses
and Dissertations Lit-ETD etd.elaba.lt
• National Medical Picture Archiving and Information
Exchange System MedVAIS
http://www.epractice.eu/en/news/5364871
• etc.

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3. Planned MIDAS
outcomes and peculiarities
MIDAS outcomes (1)
• The infrastructure
that enables collection, organizing and storage
of empirical and research data
(with corresponding metadata),
ensuring free, convenient, interactive search,
access and analysis of data;

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MIDAS outcomes (2)
• National united research data archive
with analytical software tools;
• Infrastructure for collection and transferring of
biomedical research data, consisting of DICOM
(for collecting data from medical equipment),
ECG (for collecting electrical cardiogram data
from medical devices), content management, data
depersonalisation, and data archiving modules;
• Public interactive e-service
“Search, Delivery and Analysis of Research Data”.

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MIDAS implementation advantages
• Guaranteed safety and
effective sharing of research data
• Increased quality of research outputs
• Preventing duplication of effort in
research data collection
• Increased variety of research outputs

13. 4. Data mining tool DAMIS
(slides by Olga Kurasova <......................................> )

14. Functionalities of DAMIS
• DAMIS is a tool for analysis of the MIDAS data;
• The following data mining methods are
implemented:
• preprocessing (cleaning, filtering, splitting,
transposing, norming, feature selecting);
• statistical primitives (min, max, mean, standard
deviation, median);
• dimensionality reduction (multidimensional data
visualization);
• classification and clustering.

15. Functionalities of DAMIS
• DAMIS is a web-based system http://dev.damis.lt
(user name/password: demo/demo , 1234/1234 );
• The web interface does not require any software
installation; a web browser is enough for its usage;
• There is a possibility to choose
high performance computing resources
(VU MII cluster – VU MIF supercomputer);
• The usage is based on creation of scientific workflows;
• The results obtained can be saved in MIDAS and
in a user computer.

16. A sample of multidimensional data
(breast cancer data)
C
5 1 1 1 2 1 3 1 1 b
5 4 4 5 7 10 3 2 1 b
3 1 1 1 2 2 3 1 1 b
6 8 8 1 3 4 3 7 1 b
4 1 1 3 2 1 3 1 1 b
1 1 1 1 2 10 3 1 1 b
2 1 2 1 2 1 3 1 1 b
2 1 1 1 2 1 1 1 5 b
4 2 1 1 2 1 2 1 1 b
... ... ... ... ... ... ... ... ... ... ...
8 10 10 8 7 10 9 7 1 m
5 3 3 3 2 3 4 4 1 m
8 7 5 10 7 9 5 5 4 m
7 4 6 4 6 1 4 3 1 m
10 7 7 6 4 10 4 1 2 m
7 3 2 10 5 10 5 4 4 m
10 5 5 3 6 7 7 10 1 m
... ... ... ... ... ... ... ... ... ... ...
4 8 8 5 4 5 10 4 1 m

17. DAMIS GUI

18. Data upload

19. Data preprocessing

20. Experiments

21. Statistical primitives

22. Dimensionality reduction

23. Data classification and clustering

24. Matrix view of Iris after
dimensionality reduction by PCA

25. Iris graphical representation

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5. Conclusions (1)
• MIDAS will provide virtual services for
researchers and other participants in research and
education that can lead to more efficient,
effective and higher quality research;
• Users will have the possibilities to:
– register, find and cite research data,
– search for and use other infrastructures and
tools (which provide data archiving services),
– share or integrate data and tools to other
science and studies infrastructures;

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5. Conclusions (2)
• National Research Data Archive MIDAS
will increase research cooperation possibilities,
because of simpler,
more convenient,
unified,
advanced possibilities of
research data collection,
analysis,
application and
sharing.

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6. Demonstration of MIDAS
http://midas.insoft.lt:8888/web/
User name / password:
101/101

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7. Demonstration of DAMIS
http://dev.damis.lt
User name / password:
demo/demo

30. Thanks for Your Attention !
Questions ?...