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Webinar	start:	05.04.2018,	11:00	CEST		
Moderation:	Ulrike	Wuttke	
(University	of	Applied	Sciences	Potsdam)	
Join	the	conversation	on	Twitter:		
#PARTHENOSWebinar	
@Parthenos_EU
PARTHENOS	eHumanities	and	eHeritage	Webinar	Series	
	
Make it Happen
– Carrying out
Research and
Analysing Data
George Bruseker
(FORCE, Greece) &
Carlo Meghini (CNR, Italy)
Date	and	Time:	05.04.2028,	11:00	-	12:00	CEST	
Moderation:	Ulrike	Wuttke	
(University	of	Applied	Sciences	Potsdam)	
Join	the	conversation	on	Twitter:		
#PARTHENOSWebinar	
@Parthenos_EU	Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
Graphic: Otto, the Open Access Otter CC-BY 4.0, Katja Diederichs
Some	Housekeeping…	
	•  As	a	participant	you	will	be	muted	and	not	be	seen	
throughout	the	webinar.	
•  For	questions	and	remarks	please	use	the	chat.	For	
questions,	please	use	the	word	question.				
•  Your	questions	are	going	to	be	answered	by	the	
trainers	during	/	after	the	presentation.	
•  If	you	have	sound	problems,	please	test	your	technical	
settings.	You	have	to	click	on	the	speaker	symbol	on	
top	to	to	be	able	to	hear	(it	has	to	be	green).	
•  Help	us	improve:	Follow	up	e-mail	with	a	link	to	a	
short	feedback	survey.	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
Some	words	about	PARTHENOS…	
	•  PARTHENOS	stands	for:	Pooling	
Activities,	Resources	and	Tools	for	
Heritage	eResearch	Networking,	
Optimization	and	Synergies		
•  PARTHENOS	is	a	Horizon	2020	project		
with	the	aim	to	strengthen	the	cohesion	
of	Heritage	related	E-research		
•  Running	time:	1	May	2015	-	30	April	
2019	
•  PARTHENOS	has	16	partners	from	9	
European	countries	
•  PARTHENOS	Coordinator:	PIN	Scrl	(Italy)	
•  The	PARTHENOS	webinar	series	is	a	
cross	PARTHENOS	training	effort	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
Which	country	are	you	participating	from?	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
Cartography OpenStreetMap, licensed as CC BY-SA (copyright page).
Make	it	Happen	–		
Carrying	Out	Research	and	Analysing	Data	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
Trainers
George	Bruseker	
(FORTH,	Greece)	
	
	
Carlo	Meghini	
(CNR,	Italy)	
	
	
Dr	Ulrike	Wuttke	
(University	of		
Applied	Sciences	
Potsdam,	
Germany)	
	
Moderation
“MAKE IT HAPPEN”
CARRYING OUT RESEARCH AND ANALYSING
DATA in a Research Infrastructure
A Webinar of the Parthenos eHumanities and eHeritage Series
Webinar Programme
1.  Benefits and Challenges of Research Infrastructures for
Researchers
2.  Technical Challenges to Setting up an Effective RI and
the Parthenos Proposition
3.  Step-by-Step of the Research-Register-Research, On-
demand Integration Cycle
The Journey
Gordon Joly. Be more tortoise and less hare. Flickr. CC-BY SA2.0.
https://www.flickr.com/photos/loopzilla/26687633281
Martin Grandjean. Henri Bergson et les paradoxes de Zénon : Achille battu par la
tortue ?.WikiMedia Commons. CC-BY SA4.0.
https://commons.wikimedia.org/wiki/File:Zeno_Achilles_Paradox.png
1. Benefits and Challenges of
Research Infrastructures for
Researchers
What is a Research Infrastructure
A complex IT system, set up and constantly enriched by a research organization
to provide its scientific community with digital resources for conducting research.
A virtual doppleganger of the real community
Resources:
● Data and Knowledge, including scientific literature
● Data and Knowledge Processing Tools
● Services
○  Authentication, Authorization, Accounting
○  User and Community Management
○  Resource Discovery and Access
○  Virtual Research Environments
○  … and more
Poll: Are you happy with the data, tools and services
you have access to?
Research in an RI Context - Benefits
Shared Datasets
Unknown. Picture of Dataset. Wikimedia Commons. GNU.
https://commons.wikimedia.org/wiki/File:Dataset-survey_R-MASS_package.png
Richard Cyganiak and Anja Jentzsch. Picture of LOD. Wikimedia Commons. CC-
ASA 3.0.
https://commons.wikimedia.org/wiki/File:Lod-datasets_2009-07-14.svg
Research in an RI Context - Benefits
Shared Tools
Unknown. Picture of Tools as ‘Tools’. Pxhere.com CC 0 https://c.pxhere.com/
photos/a9/84/
tools_logo_work_equipment_pictorial_letters_image_letters_tool_set_equipment-13
47523.jpg!d
José-Manuel Benito Álvarez. Picture of Stone Tools. Wikipedia. CC BY-SA 2.5
https://upload.wikimedia.org/wikipedia/commons/3/32/Chopping_tool.gif
Research in an RI Context - Benefits
Shared Services
Four Blair Services Pvt. Ltd.. Graphic Representing Services. Wikimedia. CC ASA 4.0
https://commons.wikimedia.org/wiki/File:Services4.png
Research in an RI Context? - Ends
Efficient and Trustworthy Sharing of Knowledge
Unknown. Graphic of Sharing Economy. Escuela de Organizacion Industrial. Unknown
http://www.eoi.es/blogs/imsd/what-you-have-is-what-i-need-collaborative-economy/
Research in an RI Context? - Problems
Lack of:
- Visibility of Resources
- Standards
- Shared/sharing Culture
Hans Hillewaert .Graphic of Acquifer. Wikimedia Commons. CC
ASA 3.0
https://commons.wikimedia.org/wiki/File:Aquifer_tr.svg
Agnico-Eagle .Photograph of Gold bars created by Agnico-Eagle.
Wikimedia Commons. CC0 1.0
https://commons.wikimedia.org/wiki/File:Gold_Bars.jpg
Pixabay .Graphic of Sharing. Pixabay. CC0 1.0
https://pixabay.com/en/child-kid-sharing-friendship-game-145067
Move to RI based Research Requires
4. Deploy Critical Scholarly
Apparatus in Virtual
Research Environment
3. Common Workflows
2. Common Research
Infrastructure Context
1. Shared General Priorities
Unknown .Fig. 146 in Manual of Egyptian archæology and guide to the study of
antiquities in Egypt. For the use of students and travellers. Flickr. Unknown.
https://www.flickr.com/photos/internetarchivebookimages/14589744169/
2. Technical Challenges to
Setting up an Effective RI
and the Parthenos
Proposition
Poll: What percentage of your time do you devote to
downloading, installing, configuring, and maintaining
IT tools or trying to understand and clean existing
datasets for your research?
21
Data	are	inherently	heterogeneous
owing,	inter	alia,	to	the	diversity	of:	
Actors1	 Objects2	
Tools3	 Goals4	
motivates	
Common	Information	Integration	Solutions	
Minimalist	 Maximalist	
Core	Fields	 Few	or	None	 Comprehensive	
Extensibility	 Open	 Closed	
Advantages	 Light,	
Flexible,	
Expressive	
Complete	and	
comprehensive	
for	its	time	
Disadvantages	 Weak	
Automated	
Integration,	
difficulty	of	
mainte-
nance		
Heavy	
conversion	and	
update	price,	
unevenness	of	
source	data,	
takes	a	strong	
position	
How do we get there?
Meeting the Info Integration Challenge
1 - Unknown. Graphic Representing Actors. Pixabay. CC0
https://pixabay.com/en/business-team-people-group-894846/
2 - Unknown. Graphic Representing Actors. Pixabay. CC0
https://pixabay.com/en/objects-things-icons-beach-sun-1315199/
3 -Moini. Graphic Representing Tools on the wall. Public Domain Files. None.
http://www.publicdomainfiles.com/show_file.php?id=13526406018618
4 - Unknown. Graphic Representing Actors. Pixabay. CC0
https://pixabay.com/en/arrow-target-range-bullseye-sport-2889040/
Info Integration Challenge and the Supermarket Bias
Information	Integration	perceived	
as:	
•  List	of	Items		
•  Maximalist	List	
•  Minimalist	List	
	
	
But	this	is	not	adequate	for	science	
and	scholarship.	We	need	to	know:	
•  Where it came from?
•  How was it made?
•  Who is responsible for it?
•  How can we learn more
about it?
	
	
Not	a	list	of	items,	but	a	picture	of	a		
scientific/scholarly	environment.
TheeErin .Picutre of Planking in Supermaket. Wikimedia Commons. CC ASA 2.0..
https://commons.wikimedia.org/wiki/File:Planking_in_supermarket.jpg
Services	
Actors	
Research
Infrastructures	
Datasets	
Software	
Projects	
An	adequate	Data	or	Conceptual	Model	for	RIs	
should	provide	a	framework	for	describing	and	
mapping	basic	relations	that	hold	between:
	
Services,	Actors,	Projects,	Datasets,	Software,	
Research	Infrastructures
	
This	will	provide	not	yet	another	aggregation	but	
a	picture	of	the	research	infrastructure	and	
information	integration	landscape	itself	to	
identify,	support	and	build	useful	and	sustainable	
aggregations.
	
This	picture	serves	the	function	of	determining	
what	has	been	integrated,	where	and	by	who	and	
gives	the	ability	to	plan	and	managed	the	
continuous	activity	of	multiple	integrations	for	
different	purposes			
Down with the Catalogue, Up with the Register!
E1	CRM	Entity
E2	Temporal	Entity E77	Persistent	Item
E39	Actor E70	ThingE7	Activity
E24	Physical	Man	Made	Thing D1	Digital	Object
PE18	Dataset D14	Software
PE1	Service PE34	TeamPE35	Project
PE26	RI	Project PE25	RI	Consortium
PE19	Persistent	Digital	
Object
PE20	Volatile	Digital	
Object
Parthenos Entities
Research Infrastructure Components for Scholarship
	
	
	
A	register	linked	to	an	
aggregation	environment	
supports	targeted,	on-demand	
integration	of	datasets,	
software	and	services	in	VREs	
for	scholars	to	carry	out	
critically	grounded	research.
What’s a VRE?
A complex IT system, made available by one or more RIs for a designated
research community to collaboratively conduct research on a specific theme.
The members of the designated community find in the VRE the digital resources:
● Data and Knowledge, including scientific literature
● Data and Knowledge Processing Tools
● Services
that they need for their activity. These digital resources are provided by the
underlying RIs.
In their most general form, VREs have an overarching role,
enabling interoperation across RIs
* Courtesy of the VRE4EIC
Project: www.vre4eic.eu
3. Step-by-Step of the
Research - Register -
Research on-demand
integration Cycle
The Research and Register Data Cycle Overview
Register Initial Resources
Creates the map of available resources for
the community and their potential relations.
Map Major Data Structures
to Registry
Fills out initial knowledge map of available
resources
Determine useful
Integrations and map
Use register to identify combinations of
services, datasets and software that would
support research
Carry out Research and
Register Results
Research undertaken in VRE has
association to its inputs and new data is
registered back to central registry
Setup VRE and populate
Initiate VRE on top of registry and setup for
research, create necessary mappings from
resources to create rich data network in
appropriate format
05
01
02 03
04
1.  Register Resources
This step is the foundation of all further research.
It establishes the basic knowledge of who holds
what data, how it was produced, and how it can
be accessed.
Tools
General Particular
•  Spread-
sheet
•  RDMS
•  Triple
Store
•  G-Spread-
sheets
•  Drupal
•  OrientDB
Resources
•  Parthenos Minimal Metadata
Recommendation
•  Basic G-SpreadsheetsUnknown. Graphic Representing Registration. Pixabay. CC0
https://pixabay.com/en/register-keyboard-257986/
1.  Register Resources
https://www.ehri-project.eu/
2. Data Mapping and Transformation
This step is used both to enrich the initial registry
as well as to populate VREs with particular highly
integrated datasets based on a useful local
standard.
Tools
General Particular
•  Mapping Tool
•  Transform
Engine
•  Data
Cleaning
•  Vocabularies
Management
•  Aggregation
Manager
•  X3ML Toolkit
•  Themas
Vocabulary
Manager
•  D-Net
Resources
•  Parthenos Entities Document
•  Parthenos Minimal Metadata Document
•  CIDOC CRM
Beijing Tongzhou Modern International New City Investment and Operation Bureau. 通
州新城规划图. Wikimedia Commons. Public Domain.
https://commons.wikimedia.org/wiki/File:Tongzhou_New_City_Plan_mapping_03.jpg
2. Data Mapping and Transformation
INPUT MAPPING
Data Inspection
and Cleaning
3. Resource Analysis
This step proceeds to an analysis of the available
resources in relation to research questions. It
considers the available data sources and their
formats as well as the tools available and their
ability to work with certain formats.
Tools
General Particular
•  Registry
•  Research
Questions
•  Your Registry
•  Your
Research
Questions
Resources
•  Parthenos Minimal Metadata
Unknown. Graphic Representing Analysis. Pixabay. CC0
https://pixabay.com/en/problem-analysis-mark-marker-hand-449368/
3. Resource Analysis
4. VRE Setup and Population
This setup establishes a custom environment for
plugging in available services and tools to work on
harmonized and integrated datasets.
Tools
General Particular
•  VRE
Software
Platform
•  D4Science
Resources
•  D4Science Documentation
Unknown. Graphic Representing ViRE. Pixabay. CC0
https://pixabay.com/en/linked-connected-network-team-152575/
The	D4Science	VREs’	of	Carlo
5. Research, Results, Register
Using the resources deployed in the VRE,
researchers carry out primary research generating
new datasets and then re-register them to the
overall system register. This creates fully
provenanced knowledge.
Tools
General Particular
•  As per
research
goal
•  As per
research
goal
Resources
•  Domain dependent
Unknown. Graphic Representing Virtual Research. Pixabay. CC0
https://pixabay.com/en/face-faces-dialogue-talk-psyche-3189805/
Poll: What are the chief benefits you hope from an
RI?
Conclusions
1.  Share and Understand
Priorities
2.  Build the data foundations,
build the knowledge
foundations (register what
you have and what you
know)
3.  From the foundations
extend your knowledge
through targeted VREs
4.  Slow but steady cross the
infinite distance
Martin Grandjean Henri Bergson et les paradoxes de Zénon : Achille battu par la
tortue ?.WikiMedia Commons.CC BY-SA4.0
https://commons.wikimedia.org/wiki/File:Zeno_Arrow_Paradox.png
Questions	&	Answers	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
(Picture	CC0	https://pixabay.com/photo-2999583/)
Announcements	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
•  Next	PARTHENOS	webinar:			
•  24.04.2018,	13:00	CEST:		
Boost	your	eHumanities	and	eHeritage	research	with	Research	
Infrastructures	(Darja	Fišer,	Ulrike	Wuttke)	
•  New	PARTHENOS	Training	Suite	module:	
Manage,	Improve	and	Open	Up	Your	Research	and	Data	
•  PARTHENOS	YouTube	Channel:	e.g.	
PARTHENOS	TRAINING:	Ontologies	Explained	(in	5	minutes	or	less)	(with	
Kristen	Schuster,	KCL)	
•  PARTHENOS	Webinar	Workshop	at	the	European	Summer	University	in	
Digital	Humanities	2018	(ESU),	Leipzig:	
How	Research	Infrastructures	empower	eHumanities	and	eHeritage	
Research(ers)
Questions	&	Answers	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
(Picture	CC0	https://pixabay.com/photo-2999583/)
Thank	you	for	joining	us!	
Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
(Picture:	CCO	https://pixabay.com/photo-1889007/)	
ü Please	help	us	improving	the	
PARTHENOS	Webinar	Series	
and	fill	out	the	short	Feedback	
Survey	that	we’ll	sent	you	in	a	
follow-up	e-mail.
PARTHENOS	eHumanities	and	eHeritage	Webinar	Series	
	
Join	the	conversation	on	Twitter:		
#PARTHENOSWebinar	
@Parthenos_EU	Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
Graphic: Otto, the Open Access Otter CC-BY 4.0, Katja Diederichs
Moderation and
Contact:
Dr Ulrike Wuttke
(University of Applied
Sciences Potsdam)
wuttke@fh-potsdam.de
Twitter: @UWuttke
www.parthenos-
project.eu
www.fh-potsdam.de

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Parthenos Webinar Make It Happen - Carrying Out Research and Analyzing Data

  • 2. PARTHENOS eHumanities and eHeritage Webinar Series Make it Happen – Carrying out Research and Analysing Data George Bruseker (FORCE, Greece) & Carlo Meghini (CNR, Italy) Date and Time: 05.04.2028, 11:00 - 12:00 CEST Moderation: Ulrike Wuttke (University of Applied Sciences Potsdam) Join the conversation on Twitter: #PARTHENOSWebinar @Parthenos_EU Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. Graphic: Otto, the Open Access Otter CC-BY 4.0, Katja Diederichs
  • 3. Some Housekeeping… •  As a participant you will be muted and not be seen throughout the webinar. •  For questions and remarks please use the chat. For questions, please use the word question. •  Your questions are going to be answered by the trainers during / after the presentation. •  If you have sound problems, please test your technical settings. You have to click on the speaker symbol on top to to be able to hear (it has to be green). •  Help us improve: Follow up e-mail with a link to a short feedback survey. Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
  • 4. Some words about PARTHENOS… •  PARTHENOS stands for: Pooling Activities, Resources and Tools for Heritage eResearch Networking, Optimization and Synergies •  PARTHENOS is a Horizon 2020 project with the aim to strengthen the cohesion of Heritage related E-research •  Running time: 1 May 2015 - 30 April 2019 •  PARTHENOS has 16 partners from 9 European countries •  PARTHENOS Coordinator: PIN Scrl (Italy) •  The PARTHENOS webinar series is a cross PARTHENOS training effort Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License.
  • 5. Which country are you participating from? Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. Cartography OpenStreetMap, licensed as CC BY-SA (copyright page).
  • 6. Make it Happen – Carrying Out Research and Analysing Data Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. Trainers George Bruseker (FORTH, Greece) Carlo Meghini (CNR, Italy) Dr Ulrike Wuttke (University of Applied Sciences Potsdam, Germany) Moderation
  • 7. “MAKE IT HAPPEN” CARRYING OUT RESEARCH AND ANALYSING DATA in a Research Infrastructure A Webinar of the Parthenos eHumanities and eHeritage Series
  • 8. Webinar Programme 1.  Benefits and Challenges of Research Infrastructures for Researchers 2.  Technical Challenges to Setting up an Effective RI and the Parthenos Proposition 3.  Step-by-Step of the Research-Register-Research, On- demand Integration Cycle
  • 9. The Journey Gordon Joly. Be more tortoise and less hare. Flickr. CC-BY SA2.0. https://www.flickr.com/photos/loopzilla/26687633281 Martin Grandjean. Henri Bergson et les paradoxes de Zénon : Achille battu par la tortue ?.WikiMedia Commons. CC-BY SA4.0. https://commons.wikimedia.org/wiki/File:Zeno_Achilles_Paradox.png
  • 10. 1. Benefits and Challenges of Research Infrastructures for Researchers
  • 11. What is a Research Infrastructure A complex IT system, set up and constantly enriched by a research organization to provide its scientific community with digital resources for conducting research. A virtual doppleganger of the real community Resources: ● Data and Knowledge, including scientific literature ● Data and Knowledge Processing Tools ● Services ○  Authentication, Authorization, Accounting ○  User and Community Management ○  Resource Discovery and Access ○  Virtual Research Environments ○  … and more
  • 12. Poll: Are you happy with the data, tools and services you have access to?
  • 13. Research in an RI Context - Benefits Shared Datasets Unknown. Picture of Dataset. Wikimedia Commons. GNU. https://commons.wikimedia.org/wiki/File:Dataset-survey_R-MASS_package.png Richard Cyganiak and Anja Jentzsch. Picture of LOD. Wikimedia Commons. CC- ASA 3.0. https://commons.wikimedia.org/wiki/File:Lod-datasets_2009-07-14.svg
  • 14. Research in an RI Context - Benefits Shared Tools Unknown. Picture of Tools as ‘Tools’. Pxhere.com CC 0 https://c.pxhere.com/ photos/a9/84/ tools_logo_work_equipment_pictorial_letters_image_letters_tool_set_equipment-13 47523.jpg!d José-Manuel Benito Álvarez. Picture of Stone Tools. Wikipedia. CC BY-SA 2.5 https://upload.wikimedia.org/wikipedia/commons/3/32/Chopping_tool.gif
  • 15. Research in an RI Context - Benefits Shared Services Four Blair Services Pvt. Ltd.. Graphic Representing Services. Wikimedia. CC ASA 4.0 https://commons.wikimedia.org/wiki/File:Services4.png
  • 16. Research in an RI Context? - Ends Efficient and Trustworthy Sharing of Knowledge Unknown. Graphic of Sharing Economy. Escuela de Organizacion Industrial. Unknown http://www.eoi.es/blogs/imsd/what-you-have-is-what-i-need-collaborative-economy/
  • 17. Research in an RI Context? - Problems Lack of: - Visibility of Resources - Standards - Shared/sharing Culture Hans Hillewaert .Graphic of Acquifer. Wikimedia Commons. CC ASA 3.0 https://commons.wikimedia.org/wiki/File:Aquifer_tr.svg Agnico-Eagle .Photograph of Gold bars created by Agnico-Eagle. Wikimedia Commons. CC0 1.0 https://commons.wikimedia.org/wiki/File:Gold_Bars.jpg Pixabay .Graphic of Sharing. Pixabay. CC0 1.0 https://pixabay.com/en/child-kid-sharing-friendship-game-145067
  • 18. Move to RI based Research Requires 4. Deploy Critical Scholarly Apparatus in Virtual Research Environment 3. Common Workflows 2. Common Research Infrastructure Context 1. Shared General Priorities Unknown .Fig. 146 in Manual of Egyptian archæology and guide to the study of antiquities in Egypt. For the use of students and travellers. Flickr. Unknown. https://www.flickr.com/photos/internetarchivebookimages/14589744169/
  • 19. 2. Technical Challenges to Setting up an Effective RI and the Parthenos Proposition
  • 20. Poll: What percentage of your time do you devote to downloading, installing, configuring, and maintaining IT tools or trying to understand and clean existing datasets for your research?
  • 21. 21 Data are inherently heterogeneous owing, inter alia, to the diversity of: Actors1 Objects2 Tools3 Goals4 motivates Common Information Integration Solutions Minimalist Maximalist Core Fields Few or None Comprehensive Extensibility Open Closed Advantages Light, Flexible, Expressive Complete and comprehensive for its time Disadvantages Weak Automated Integration, difficulty of mainte- nance Heavy conversion and update price, unevenness of source data, takes a strong position How do we get there? Meeting the Info Integration Challenge 1 - Unknown. Graphic Representing Actors. Pixabay. CC0 https://pixabay.com/en/business-team-people-group-894846/ 2 - Unknown. Graphic Representing Actors. Pixabay. CC0 https://pixabay.com/en/objects-things-icons-beach-sun-1315199/ 3 -Moini. Graphic Representing Tools on the wall. Public Domain Files. None. http://www.publicdomainfiles.com/show_file.php?id=13526406018618 4 - Unknown. Graphic Representing Actors. Pixabay. CC0 https://pixabay.com/en/arrow-target-range-bullseye-sport-2889040/
  • 22. Info Integration Challenge and the Supermarket Bias Information Integration perceived as: •  List of Items •  Maximalist List •  Minimalist List But this is not adequate for science and scholarship. We need to know: •  Where it came from? •  How was it made? •  Who is responsible for it? •  How can we learn more about it? Not a list of items, but a picture of a scientific/scholarly environment. TheeErin .Picutre of Planking in Supermaket. Wikimedia Commons. CC ASA 2.0.. https://commons.wikimedia.org/wiki/File:Planking_in_supermarket.jpg
  • 24. E1 CRM Entity E2 Temporal Entity E77 Persistent Item E39 Actor E70 ThingE7 Activity E24 Physical Man Made Thing D1 Digital Object PE18 Dataset D14 Software PE1 Service PE34 TeamPE35 Project PE26 RI Project PE25 RI Consortium PE19 Persistent Digital Object PE20 Volatile Digital Object Parthenos Entities
  • 25. Research Infrastructure Components for Scholarship A register linked to an aggregation environment supports targeted, on-demand integration of datasets, software and services in VREs for scholars to carry out critically grounded research.
  • 26. What’s a VRE? A complex IT system, made available by one or more RIs for a designated research community to collaboratively conduct research on a specific theme. The members of the designated community find in the VRE the digital resources: ● Data and Knowledge, including scientific literature ● Data and Knowledge Processing Tools ● Services that they need for their activity. These digital resources are provided by the underlying RIs.
  • 27. In their most general form, VREs have an overarching role, enabling interoperation across RIs * Courtesy of the VRE4EIC Project: www.vre4eic.eu
  • 28. 3. Step-by-Step of the Research - Register - Research on-demand integration Cycle
  • 29. The Research and Register Data Cycle Overview Register Initial Resources Creates the map of available resources for the community and their potential relations. Map Major Data Structures to Registry Fills out initial knowledge map of available resources Determine useful Integrations and map Use register to identify combinations of services, datasets and software that would support research Carry out Research and Register Results Research undertaken in VRE has association to its inputs and new data is registered back to central registry Setup VRE and populate Initiate VRE on top of registry and setup for research, create necessary mappings from resources to create rich data network in appropriate format 05 01 02 03 04
  • 30. 1.  Register Resources This step is the foundation of all further research. It establishes the basic knowledge of who holds what data, how it was produced, and how it can be accessed. Tools General Particular •  Spread- sheet •  RDMS •  Triple Store •  G-Spread- sheets •  Drupal •  OrientDB Resources •  Parthenos Minimal Metadata Recommendation •  Basic G-SpreadsheetsUnknown. Graphic Representing Registration. Pixabay. CC0 https://pixabay.com/en/register-keyboard-257986/
  • 32. 2. Data Mapping and Transformation This step is used both to enrich the initial registry as well as to populate VREs with particular highly integrated datasets based on a useful local standard. Tools General Particular •  Mapping Tool •  Transform Engine •  Data Cleaning •  Vocabularies Management •  Aggregation Manager •  X3ML Toolkit •  Themas Vocabulary Manager •  D-Net Resources •  Parthenos Entities Document •  Parthenos Minimal Metadata Document •  CIDOC CRM Beijing Tongzhou Modern International New City Investment and Operation Bureau. 通 州新城规划图. Wikimedia Commons. Public Domain. https://commons.wikimedia.org/wiki/File:Tongzhou_New_City_Plan_mapping_03.jpg
  • 33. 2. Data Mapping and Transformation INPUT MAPPING Data Inspection and Cleaning
  • 34. 3. Resource Analysis This step proceeds to an analysis of the available resources in relation to research questions. It considers the available data sources and their formats as well as the tools available and their ability to work with certain formats. Tools General Particular •  Registry •  Research Questions •  Your Registry •  Your Research Questions Resources •  Parthenos Minimal Metadata Unknown. Graphic Representing Analysis. Pixabay. CC0 https://pixabay.com/en/problem-analysis-mark-marker-hand-449368/
  • 36. 4. VRE Setup and Population This setup establishes a custom environment for plugging in available services and tools to work on harmonized and integrated datasets. Tools General Particular •  VRE Software Platform •  D4Science Resources •  D4Science Documentation Unknown. Graphic Representing ViRE. Pixabay. CC0 https://pixabay.com/en/linked-connected-network-team-152575/
  • 38. 5. Research, Results, Register Using the resources deployed in the VRE, researchers carry out primary research generating new datasets and then re-register them to the overall system register. This creates fully provenanced knowledge. Tools General Particular •  As per research goal •  As per research goal Resources •  Domain dependent Unknown. Graphic Representing Virtual Research. Pixabay. CC0 https://pixabay.com/en/face-faces-dialogue-talk-psyche-3189805/
  • 39. Poll: What are the chief benefits you hope from an RI?
  • 40. Conclusions 1.  Share and Understand Priorities 2.  Build the data foundations, build the knowledge foundations (register what you have and what you know) 3.  From the foundations extend your knowledge through targeted VREs 4.  Slow but steady cross the infinite distance Martin Grandjean Henri Bergson et les paradoxes de Zénon : Achille battu par la tortue ?.WikiMedia Commons.CC BY-SA4.0 https://commons.wikimedia.org/wiki/File:Zeno_Arrow_Paradox.png
  • 41. Questions & Answers Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. (Picture CC0 https://pixabay.com/photo-2999583/)
  • 42. Announcements Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. •  Next PARTHENOS webinar: •  24.04.2018, 13:00 CEST: Boost your eHumanities and eHeritage research with Research Infrastructures (Darja Fišer, Ulrike Wuttke) •  New PARTHENOS Training Suite module: Manage, Improve and Open Up Your Research and Data •  PARTHENOS YouTube Channel: e.g. PARTHENOS TRAINING: Ontologies Explained (in 5 minutes or less) (with Kristen Schuster, KCL) •  PARTHENOS Webinar Workshop at the European Summer University in Digital Humanities 2018 (ESU), Leipzig: How Research Infrastructures empower eHumanities and eHeritage Research(ers)
  • 43. Questions & Answers Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. (Picture CC0 https://pixabay.com/photo-2999583/)
  • 44. Thank you for joining us! Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. (Picture: CCO https://pixabay.com/photo-1889007/) ü Please help us improving the PARTHENOS Webinar Series and fill out the short Feedback Survey that we’ll sent you in a follow-up e-mail.
  • 45. PARTHENOS eHumanities and eHeritage Webinar Series Join the conversation on Twitter: #PARTHENOSWebinar @Parthenos_EU Unless otherwise stated this work is licensed under a Creative Commons Attribution 4.0 International License. Graphic: Otto, the Open Access Otter CC-BY 4.0, Katja Diederichs Moderation and Contact: Dr Ulrike Wuttke (University of Applied Sciences Potsdam) wuttke@fh-potsdam.de Twitter: @UWuttke www.parthenos- project.eu www.fh-potsdam.de