Datapublication

Publication of Research Data Publication of Research Data

Marianne van der HeijdenMarianne van der Heijden

November 3, 2010November 3, 2010

► dddfdddf““Scientists need to ensure Scientists need to ensure

that their results will be that their results will be managed for the long haul. managed for the long haul.

Maintaining data Maintaining data takes big takes big

organization”. organization”. Clifford Lynch,Clifford Lynch,

NatureNature Special on Big Data Special on Big Data (3 Sept. 2008)(3 Sept. 2008)

Stelling 1:Stelling 1: Voornaamste problemen rondom Voornaamste problemen rondom data publicatie zijn technische data publicatie zijn technische aspectenaspecten

Stelling 2:Stelling 2:Data management is ‘common Data management is ‘common practice’ bij practice’ bij onderzoeksinstitutenonderzoeksinstituten

Stelling 3:Stelling 3:Alle belangrijke onderzoeksdata Alle belangrijke onderzoeksdata wordt in artikelen gepubliceerd. wordt in artikelen gepubliceerd. Het apart publiceren van data is Het apart publiceren van data is dan ook overbodig.dan ook overbodig.

Who are involved?Who are involved?

► Funders Funders ► Researchers as data Researchers as data producers producers ►Data archivesData archives ► JournalsJournals► Researchers as data Researchers as data consumers consumers

Building a frameworkBuilding a framework

► Together with researchersTogether with researchers► Appoint contact persons per departmentAppoint contact persons per department

►Hosting(outsourcing) & support of the ICT Hosting(outsourcing) & support of the ICT environmentenvironment

►Discovery and archiving systemDiscovery and archiving system

Research dataResearch data

► long term access/availability (repository)long term access/availability (repository)► usable data formatusable data format► Reliable / Peer review / QualityReliable / Peer review / Quality► Metadata Metadata

TechniqueTechnique

Trusted RepositoryTrusted Repository

Data Seal of ApprovalData Seal of Approval

MetadataMetadata

► descriptive metadatadescriptive metadata to find, cite and understand data to find, cite and understand data

► structural metadatastructural metadata how to process the data and the relations how to process the data and the relations

between filesbetween files► administrative metadataadministrative metadata

intellectual property, conditions for use intellectual property, conditions for use and accessand access

Step-by-Step ApproachStep-by-Step Approach

► Inventarisation of dataInventarisation of data► Structuring of the data filesStructuring of the data files

Training and checklists to start as early as Training and checklists to start as early as possible with structured data possible with structured data

► Creation of datasetsCreation of datasets Uniformity of filesUniformity of files

► Archiving of the data setsArchiving of the data sets► Publishing of the metadata for discoveryPublishing of the metadata for discovery

Motivation and AwarenessMotivation and Awareness

►Benefits of data archiving►Recognition from data publishing►Demands from publishers and financiers

►NIOODATA wiki►Data day as a joint data archiving exercise

Benefits of Data PublicationBenefits of Data Publication► Enhance the visibility of your workEnhance the visibility of your work► Avoid data loss and corruptionAvoid data loss and corruption

Work more efficientlyWork more efficiently► Facilitate Data ExchangeFacilitate Data Exchange► Moral obligationMoral obligation

Costs of data collection (instruments, Costs of data collection (instruments, equipment,workforce)equipment,workforce)

Uniqeness of field observations (You cannot measure a Uniqeness of field observations (You cannot measure a value from 2003 in 2010 )value from 2003 in 2010 )

► Obtain scientific recognition for your work:Obtain scientific recognition for your work: Publishing a data paper (Example Ecological Archives)Publishing a data paper (Example Ecological Archives) Make your dataset ‘citable’ (datacentrum 3TU gives DOI)Make your dataset ‘citable’ (datacentrum 3TU gives DOI) Data citation from NIOO Data PortalData citation from NIOO Data Portal

Data Data RepositoryRepository

DANSDANS

3 TUD3 TUD

Other RepositoriesOther Repositories

►DistributedDistributed IPY DataIPY Data

► InstitutionalInstitutional NIOO / VLIZNIOO / VLIZ

Data Management Process:

Results pilot studyResults pilot study

► 21.393 files, 3.421 archived in 91 datasets21.393 files, 3.421 archived in 91 datasets► Some files integratedSome files integrated► Idea buildingIdea building

Procedures and agreementsProcedures and agreements Different formats request different systemsDifferent formats request different systems Data “rescue” actionData “rescue” action Integration necessity Integration necessity

VLIZ takes care for NIOOVLIZ takes care for NIOO

► Guidelines and procedures for Data Guidelines and procedures for Data Management and Data StoringManagement and Data Storing

► Two 3-day workshopsTwo 3-day workshops► Data “rescue” actionData “rescue” action► Help with archivingHelp with archiving► Elaborate formatsElaborate formats► Enhance GuidelinesEnhance Guidelines

in cooperation with researchersin cooperation with researchers

UserfriendlinessUserfriendliness

► Integration of archiving with workflow stepsIntegration of archiving with workflow steps► Selection criteriaSelection criteria► Interface Design with default suggestionsInterface Design with default suggestions

example Morphoexample Morpho

Morpho: datamanagement for ecologistsMorpho: datamanagement for ecologists

Data Management PlanData Management Plan

► Start working timely and efficiently with data managementStart working timely and efficiently with data management In US+ UK stellen sommige financiers dit al verplichtIn US+ UK stellen sommige financiers dit al verplicht

Data life cycleData life cycle

Data PublicationData Publication

► IOCD workshop on Data IOCD workshop on Data PublishingPublishing

► Ecological Archives Ecological Archives

Data citationData citation 3 TU – DOI3 TU – DOI

NIOO datacitationNIOO datacitation

Digital PreservationDigital Preservation

Take home thoughts

►Technology is facilitating, not prescribing►Motivation is essential►Resolutions in close contact with researcher►Start as early as possible in data life cycle

process►Start up rather expensive in investing in

infrastructure and in coaching people

Cooperate !Cooperate !

ThanksThanks

► Links to resources:Links to resources:

►http://www.delicious.com/mheyden/Datamanagement

► Links to presentation:Links to presentation:►http://www.slideshare.net/mheyden/Datapu

blication

Delicious

► Data Archiving and Networked Services | Over DANS ► Data en information management NIOO ALGBAC, voorbeeld data citatie ► Digital Preservation Tutorial: Table of Contents ► DMP ► DMP_checklist.pdf (application/pdf-object) ► Ecological Archives Preparing Data Papers Data publicatie ► Info | Data Seal of Approval ► International Polar Year Portal ► IODE Workshop on Data Publishing ► KNB Data :: Morpho Data management for ecologists ► Manage Your Data: Data Management: Subject Guides: MIT Libraries ► Open Data Commons » Blog Archive » Draft of an Open Data Commons Attribution

License ► Panton Principles ► VLIZ : VMDC Nieuws ► Wordle - Create