Data Management Plans Ron Dekker Director CESSDA

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

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)

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)

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

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

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

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

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

DMP Framework Formal minimum conditions Description Name & coordinates of the Data Stewards @ 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

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

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

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

Thank you Ron.Dekker@CESSDA.NET WWW.CESSDA.NET Twitter @CESSDA_DATA