Research Data Management Workshop101 for PhD students, starting their academic career

[2014] CC-BY: 3TU.Datacentre

more info @ www.datacentrum.3tu.nl/en/

What will you learn today

• History about 3TU Datacentre

• Incorporate data management planning in your research workflow

• The key importance of persistent identifiers and data citation in the global scholarly information infrastructure.

• The importance of proper data archiving.

Data Wave

Source: http://www.odgersberndtson.com/en/observe/article/riding-the-data-tidal-wave-7659/

HISTORY

Sources:http://research.microsoft.com/en-us/collaboration/fourthparadigm/http://cordis.europa.eu/fp7/ict/e-infrastructure/docs/hlg-sdi-report.pdf http://www.knowledge-exchange.info/Default.aspx?ID=469

Introduction 3TU.Datacenter• Federation of 3 Technical Universities

– (Delft, Twente, Eindhoven)– Mandate for Research Data Management

• 3TU.Datacenter: start 2008– 12 employees– Archive: 90 TB storage (incl. mirror+backup),

6500 Datasets, ~350 up- & downloads /year,

– Labs: Open Earth, Dataverse, Share

– Services: Datamanagement planning Advise,

DOImining/DataCite, Training, etc.

€

Data archiving: After Research project

Data capture: During Research project

Data Archive

Data planning: Before Research project DMP

Data Lab

Services overview

Research Data

Create

Describe &

Store

Identify &

Register

Discover &

Access

Exploit

Data captureEarly meta data

Data model design

Complete meta dataData repositoryCreate ‘resource maps’/ ‘scientific publication packages’

Assign DOIs‘Publish’ meta dataLinked data

BrowseSearch

Query onlineGoogle maps/earth

Support data-labsData mining support

[ANDS Verbs]

Archives, Labs & Services

Goal: long-term access to research data

• Data archive– Main goal: ‘freeze’ a dataset (version) for future use.

‘Published’ data, simple or complex, varying meta-data, …• Data lab

– Main goal: exchange of data and other research material.Collaboration platforms, specific to discipline/content. Differing in access policies, functionality, size, …

• Data services– Main goal: stimulate improvements in data management.

Advice on standards, licensing & training, support in data documentation, tool development, search and retrieval, …

PREVIEW OF TODAY

Data Management Planning

Persistent Identifiers: Data Claiming and Citation

Data Archiving:Trust and Quality Assurance

Data Archive

INTRODUCTION ROUNDEnjoy today!