Centre for Digital Scholarship and LURIS

Bij ons leer je de wereld kennen
Centre for Digital Scholarship
Fieke Schoots en Laurents Sesink 14-02-2017

Universiteit Leiden. Bij ons leer je de wereld kennen
Index
1. Mission and goals
2. Development CDS
3. First Phase
4. Starting to cover the research life cycle
5. Open Science
6. Research Data Management
7. Further LURIS-CDS collaboration

Leiden University Institutional Plan 2015-2020
Supporting academics in the transition to a more interactive academic
environment by setting up a Centre for Digital Scholarship within the
Leiden University Libraries.
University Leiden 2015 – 2020
•Sharing and collaboration are keywords in today’s academic practice. The arrival of open access
and open data means that the sharing of research data and results and collaboration in collecting,
analysing and publishing them are becoming increasingly important.
•Leiden University wants to make it easier for academics to share information and to collaborate by
providing state-of-the-art ICT support and infrastructure.
•The University is therefore setting up a Centre for Digital Scholarship at the University Libraries
Leiden, that will provide services to researchers and students in the use of new technology,
including in terms of digital research methods, open access, data management and social networking.

‘Digital Scholarship’
Answering research questions with new digital technologies.
Digital Scholarship has consequences for:
• Research – Access to Big data and metadata, (inter) disciplinar
collaboration, development of new methodologies, technologies and
instruments. Data Science
•Research process – Requirements of research funders, -
organisations, publishers and government regarding Research Data
management.

‘Digital Scholarship’
• Publication process – New possibilities for online publishing,
requirements of government and funding organisations regarding
Open Access
• Digital Longevity – New approaches to long term preservation
of the scholarly record. Digital Preservation

Goal
Support and facilitate, in collaboration with expert centres, faculties and
(inter)national partners, digital scholarship within the University.
CDS:
• Keeps track of new technology
• Facilitates researchers in the use of new methodologies and technology
• Facilitates the use of state of the art collaboration environments
• Supports new ways to publish and reuse articles, data and research software.
• Has a proactive role during all phases of the research proces (before, during and after
research)
• Collaborates with partners if desirable

Expertise
•Support for Open access, copy right and publication advice
•Support for Data management
•Support for Data Science
- Text- & data mining
- Collaboration environments
- Repository infrastructure (data and metadata)
- Database design and websites
- GIS
•Support for Digital Preservation

Activities
•Keep track of (and influence) relevant policies (university, national,
European)
•Keep track of and use the possibilities of ‘state of the art’ technologies
•Knowledge and information sharing
•Advice
•Services
•Training and Support
•Proof of Concepts and Pilots
•Innovation Lab
•Software and Data Carpentry
•Digital Preservation

Building up and enlarge expertise
• Open access, copy right and publication advice
- Current activity, realizing Dutch Open Access policy. Information (SD’s),
processes (Faculty Information managers, ORCID project), transparency of costs
and benefits.
• Data management
- Current activity, implementation of university policy, embed in processes
(LURIS), development of services (IM, ISSC), training & support
(Faculties)
•Collaboration environments
- Current activity, VRE’s, upscaling, extend with other environments (ISSC)

Building up and enlarge expertise
• Repository infrastructure (data and metadata)
- New activity, Proof of Concepts in collaboration with researchers,
exploration of new functionalities (Metadata enrichment, IIIF, Geo)
• Data- & text mining
- New activity, Proof of Concepts, pilots in collaboration with researchers,
possibilities/hurdles data science, software & data carpentry
• Database design, websites
- New activity, testing ground (ISSC), Pilots with researchers
• GIS
- New activity, testing ground Geo service, Pilots with researchers

Collaboration
• UBL
- Faculty liaison, Project leaders, Curators, Services Special Collections
• UL
- ISSC; ISSC back office technical/application management storage
- BB-IM; information management university
- BB-AZ: policy development
- LURIS; LURIS grant office.
- Leiden Centre for Digital Humanities; LCDH has a goal to enhance Digital
Humanities research.
- Leiden Centre of Data Science FWN; Focus of LCDS is research about innovative
methodologies regarding data science

Collaboration
• UL
- University wide Data Science Program
- Faculty data managers
- Data Protection/Security Officer
• (Inter)National
- UKB, Surf, VSNU, Research Data Netherlands, Nationale Coalitie Digitale
Duurzaamheid (NCDD), RDA, Knowledge Exchange
- Research Data Infrastructures like CLARIN, DARIAH and CESSDA.

Timetable
• Short term (now till 2 year): Building
- Quartermasters
- Laying foundation
- Gradually building
- Start with current services
- Building by means of pilots
•Medium term (2 till 4): Consolidation
- Extending and capture
- Robust foundation, future proof
- Transparent portfolio, with monitoring
- Protocols, procedures
- Standing services and innovations
- Fixed position
•Long term (from 4 year): Institutionalising
- Looking forward
- Complete building
- Formalisation of collaboration and institutionalising
- Standing services and innovations
- Extending fixed position

Open Access, Datamanagement
Capaciteit 2017
Activiteit Medewerker FTE Uren Functieprofiel
Management
CDS Laurents Sesink 1,0 1400
Subtotaal 1,0 1400
Datamanagement
CDS Fieke Schoots 0,8 1120 DSL-A
CDS Michelle van den Berk 0,4 560 DSL-A
Matrix UBL FLD 0,2 280 Copyright
Subtotaal 1,4 1960
Open Access
CDS Michelle van den Berk 0,4 560 DSl-A
CDS Peter Verhaar 0,1 140 DSL-T
Subtotaal 0,6 980
Totaal 3,0 4200

Data Science Support
• Tekst & Data Mining
• Data & Metadata
• VRE’s
• GIS
• Database modeling & websites

Capacities support for Data Science
Capaciteit 2017
Activiteit Medewerker FTE Uren Functieprofiel
Data-textmining
CDS Peter Verhaar 0,2 280 DSL-T
CDS Ben Companjen 0,5 700 DSL-T
Matrix UBL MDA 0,1 140 Licenties
Subtotaal 1.0 1400
Data & Metadata
CDS Ben Companjen 0,5 700 DSL-T
Matrix UBL DBC 1,0 1400 Digitalisering
Subtotaal 1,5 2100
Databasebouw & websites
Peter Verhaar 0,2 280 DSL-T
Subtotaal 0,2 280
Samenwerkingsomgevingen
Matrix UBL DD/IP 0,5 700 Consultancy/
configuratie
0,5 700
GIS
Matrix UBL FLD 0,1 140 GIS expertise
Subtotaal 0,1 140
Totaal 3,3 4620
FLD DBC IP MDA
100 200 400 200
Projectmatige activiteiten CDS. (UBL projectenkalender)

Challenges
• Extend knowledge and skills
- ICT
• Change of culture
- From an administrative to an administrative and adaptive culture
• Upscaling capacity

Covering the whole research life cycle
• Before-, during-, after research
- One-stop-shop (data management, open access, copyright/licenses)
- LURIS, BB-AZ, BB-IM, ISSC and CDS
- Start with Research Life Cycle. Who is involved in which process?
- Self Service
- First Line CDS
- Second Line LURIS, ISSC, BB-AZ, BB-IM

• Before
• During
• After

• Before research
- Grant proposal:
Data Management Plan
Open Access
Consultancy about state of the art technologies
IIIF
GeoBlackligth
R for HPC
3D Modelling
Virtual Research Environments
Network of relevant partners (Research Infrastructures)

• During research
- Support for Text & Data Mining, Metadata & Data, Modelling databases
and websites, GIS
Question driven: Researcher central
Utilizing and extending the existing digital infrastructure of the UBL
Limited capacity available
Agile project methodology (SCRUM)
For each activity a Project Brief
Overview of all activities on CDS intranet
Progress monitored in Trello

• During-, after research
- Database and websites modelling
Proof of Concept with ISSC
ISSC – Infrastructure
CDS – Modelling
• Workshops
• Datamanagement (RDNL-LCRDM)
• OA (UKB, Knowledge Exchange)
• R (VU, E-science centre)
• FAIR (DTL)

National approach for Open Science
• Goal is to accelerate:
- 100 % Open Access
- Re-Use of Research Data
FAIR Data
• Stimulate (New!)
- Evaluation and Rewards for researchers

Discover the world at Leiden University
Funder policies
Funders aim at re-use of data because of:
• Ethics
• Integrity (verification and replication)
• Efficiency
• Advancement of science (continuity)
• Open Science agenda

NWO Pilot data management
Data Paragraph in proposal
Brief outline how to deal with
data, storage and access to the
data, during and after research
Data Management Plan after
the grant has been awarded
More detailed information
Form DMP
http://www.nwo.nl/documents/nwo/datamanagement%5B2%5D/
formulier-nwo-datamanagementplan

Proposal Initial DMP Midterm - Final review DMP
General outline Full DMP
Deliverable
< 6 months
Updates
Data management
policy
FAIR principles - new data
- changes in consortium policies
- Changes in consortium composition
• Standards
• Availability
• Curation and
preservation
• Consortium
agreements
• IPR
1. Data Summary
2. FAIR Data
3. Allocation of
resources
4. Data security
5. Ethical aspects
FAIR =
Findable
Accessible
Interoperable
Re-use
Guidelines on Data
Management in
Horizon 2020
Annex 1 and summary
table 1
idem
Data Management Plan in H2020

FAIR data
http://www.dtls.nl/fair-data/
http://www.nature.com/articles/sdata201618
By humans and machines
Description, metadata
Stored to allow easy access, license, access conditions,
(Open Access when possible)
Ready to be combined with other datasets
(standards, formats)
Ready to be used for future research
processed using computational methods

Publishers: Data Availability Policy (DAP)
Plos One : “Authors must make all data
publicly available, without restriction,
immediately upon publication of the
article.”
http://blogs.plos.org/everyone/2014/02/24/plos-new-data-policy-
public-access-data-2/
Science : “All data necessary to
understand, assess, and extend the
conclusions of the manuscript must
be available to any reader of Science.”
http://www.sciencemag.org/site/feature/contribinfo/prep/gen_info.
xhtml#dataavail

ü Secure storage : integrity, availability, confidentiality
ü Data must remain available for 10 years
ü Data should be ‘FAIR’
ü Provide documentation, metadata, software for reuse
ü Archive data in a certified archive
ü Write a data management plan (DMP)BEFOREDURINGAFTER
Leiden University : Data Management Policy

‘one stop shop’
http://blogs.library.leiden.edu/researchdata/
http://blogs.library.leiden.edu/researchdata/
https://www.library.universiteitleiden.nl/research-and-
publishing/datamanagement

One stop shop
CDS
Facilities
Funder
requirements
Data
protection
ISSC LURIS
Data
Protection
Officer
BB-AZ BB-IM

Training
§ Tailor-made (mandatory) PhD training
(LACDR, Psychology, FGGA)
§ DMP workshop: for all employees
§ Project & datamanagement (PhD via HRM)
§ Dedicated trainingsessions, f.i. NWO Veni
§ Workshops, lectures, lunchmeetings etc.

LACDR training 17-12-2014
Design your own Data Life Cycle
LACDR Training 17-12-2014 & 21-3-2016

Data production,
analysis and sharing
Archiving and publication
Planning, preparation, costs?
VRE
DANS 3TU
Research institutes
&
CDS
Data Repositories
CDS
BEFOREDURINGAFTER
Discipline
Leiden University Policy from a storage perspective
Local ?

Leiden Research Data Information Sheets
https://vre.leidenuniv.nl/vre/lrd/Pages/information-Sheets.aspx

Credits for data
management
http://www.knowledge-
exchange.info/datametrics
New Dutch Evaluation
Protocol for Research (SEP
2014)
How to cite data?
Draft Declaration of Data
Citation Principles (Force 11)
https://www.force11.org/node/
4381

Implementation program Leiden
Comprehensive data management program to enable researchers to comply with University Policy
• 2017 – 2019
• Program manager: Jacko Koster (Information Management)
• Aims at:
- Creating awareness (communication and training)
- Providing facilities for entire research life cycle
§ Data vault
§ Shared storage space
§ Repositories
- Presenting all research output together
§ DMP registration
§ Dataset registration
§ Orcid
- Insight in costs of data management
- International cooperation
- Etc.

Further LURIS-CDS cooperation
Some ideas:
• Publication support, Open Access
• Rewards, benefits, credits for Open Science
• Impact, altmetrics, network visualisation
• Research Infrastructures
• …......................................................

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