1. Data Management Plans
Ron Dekker
Director CESSDA

2. CESSDA
Mission
Provide a distributed and sustainable research infrastructure that enables the research community to conduct high-quality research in the social sciences
Trends
Science will have to open up
Data is the new oil
Platform revolution
Vision
Platform to provide seamless access to FAIR social science research data in a safe & secure way

3. Goals Technology Backbone CESSDA Catalogue, single sign on, tools
Trust
Ensure quality of ingested data
Long term availability
Safe & Secure to deposit data and to re-use data
Training
Train the trainers
Training for researchers (data stewards, users)

4. 15 CESSDA members
Austria
Belgium - SOHDA
Czech Republic - CSDA
Denmark - DDA
Finland - FSD
France - PROGEDO/Réseau Quetelet
Germany - GESIS
Greece - So.Da.Net
Lithuania - LiDA
Netherlands - DANS
Norway - NSD
Slovenia - ADP
Sweden - SND
Switzerland - FORS
UK - UKDS
1 observer
Slovakia - SASD (observer)

5. DMP Stakeholders Funders Governments, Research Funding Organisations
Universities, other Research Performing Organisations
Service Providers
Data Services
IT Infrastructure (computing, network, software)
Research Libraries
Publishers
Researchers
Depositors (Stewards)
Users

6. DMP Templates Many templates, because of Many stakeholders
Different purposes, needs by disciplines
Project proposal
Scholarly article or book publication, Reproducibility
Project evaluation
Deposit of data, Re-use of data
Different types of data
collections, surveys, registries, personal data

7. DMP Tools Sticks Obligations by many stakeholders
risk of fragmentation and red tape
Carrots
“Lab Journal” software/tools that
ensure Reproducibility
connect/upload the DMPs to publishing platforms
reserve the DOI for the data
meet the RFO-RPO protocols

8. DMP’s Decisions General or by Discipline / Domain
Ownership / Responsibility
Static or Dynamic (living document)
Comply or Comply or Explain

9. DMP Protocol - 1st thoughts
Tool: CharmStats Pro 1.0 developed by CESSDA-GESIS
“Lab book for surveys”
Script the syntax in 4 major stat-tools
Construct, aggregate, rename variables
Combine and align variables from multiple data sets
Comment on each step
Ensures reproducibility
Produces the DMP at concepts/variables/values levels
If CS Pro is used then CESSDA might accept research data set
Reproducibility
DMP data part is scripted
DMP can be published, DOI is generated —> peer review

10. DMP Framework Formal minimum conditions Description
Name & coordinates of the Data Institute
Nature of the data; key characteristics incl. format
DOI of DMP and of Data
Use preferred formats, or at least acceptable formats
Logbook incl. provenance and state of reproducibility
Make use of accepted logbook tools
Modes of access
free download, register, … per project, … on site

11. DMP Principles Start as early as possible
Archive the data incl. metadata
for at last 10 years,
at a trusted repository (on RFO/RPO list)
Proper data citation
Proper re-use
Comply with national law and EU regulations
Comply with Codes of Conduct (per discipline/domain/type of data)
FAIR principles
Comply with metadata standards
Social Sciences: DDI
CESSDA Core Metadata 1.0

12. DMP Approach (SE, ICPSR)
BEFORE the project
What data, who might be the audience
How to document, what metadata
Quality assurance, Responsibility
Budget
DURING
Storage & backup
Data management
AT THE END
Selection
Procedures
DEPOSITING
Sharing
Ethics & Compliance
Deposit at a Trusted Data Repository

13. DMP @ CESSDA CESSDA as part of the EOSC FAIR
CESSDA Catalogue (Findable)
Safe & Secure Data Infrastructure
incl. Single Sign On, Different Access Modes
CESSDA Providers as Trusted Repositories
Training & Tools
Train the Trainers & Train the Researchers
DMP Tools (CharmStats Pro 1.0)
Work out principles & protocol for social science data

14. Thank you Ron.Dekker@CESSDA.NET