DATAVERSEJulie Goldman 2014

HARVARD UNIVERSITY !

INSTITUTE FOR QUANTITATIVE SOCIAL SCIENCE

DATAVERSE NETWORK PROJECT

• repository for research data that takes care of long-term preservation

• employs old archival practices while allowing researchers to keep control of and receive recognition for their data

DATA MANAGEMENT

• provides access and sharing capabilities

• allows researchers to deposit data in organized, curated and citable network

• promotes access and sharing

ARCHIVING• metadata is exported to XML

• data files reformatted for long-term access

• all versions are kept

• metadata and data are replicated to multiple locations through LOCKSS

๏ Lots of Copies Keep Stuff Safe (Standford University)

TERMINOLOGY

Container)for)your)Research)Data)Studies(

Schema4c)Diagram)of)a)Dataverse(in)a)Dataverse)Network)

Dataverse)

Research)Study)#1)

Research)Study)#2)

Study&Data&sets&

Documenta/on&

Code&

Container&for&your&Research&Data&

Cataloging&Informa/on&

Schema/c&Diagram&of&a&Study&in&a&Dataverse&

UNIQUE SERVICES

• tubular data sets

๏ files with rows and columns (SPSS, STATA, CSV) can be subset

๏ user can extract only some of the variables

• social network data

๏ data that describes a network of entities and relationships

๏ sets uploaded in GraphML format to provide flexibility

Data sharing and archiving with control and recognition for data authors

Persistent Data Citations linking data to publications

Customized Branding or embed on your site

Support for All File Types any format

Data Restrictions & terms of use options set by data author

Rich data support for certain file formats

SPSS, Stata, R Data metadata extraction, subset & R analysis

FITS Data metadata extraction

Social Network Data (GraphML) smart queries & subsetting

Data Visualizations for time series

Data management, standards and archival best practices

General and Domain-Specific Metadata following metadata standards

Data Versioning preserve & cite previous versions

Traffic & Downloads Tracking for your data with Guestbook

Permanent Storage preservation format; copies in

multiple locations

Harvard Dataverse Network Features

Learn more at: thedata.org or start searching and uploading at thedata.harvard.edu

Coming soon in Dataverse 4.0: • Redesign of the entire user interface • Dataverses can contain other dataverses • Simplified workflows for creating an account, a dataverse, and datasets as well as uploading files • Terminology changes:

• Study now called Dataset • Cataloging Information now called Metadata (general, domain-specific and file metadata) • Collections are now dataverses

Want to participate in Dataverse 4.0 testing? Sign up @

http://tinyurl.com/DVUserTesting

USING DATAVERSE• web interface

๏ individual researcher can create a dataverse through a web form on the DVN and deposit their own data sets

๏ dataverses are organized in studies which are given a data citation so they can be referenced

• software installation

๏ institution can intall it on their servers and create their own Dataverse Network

Ge#ng&Started&with&the:&Harvard&Dataverse&Network&

Step&1:&Go#to:#thedata.harvard.edu#

Step&2:&Create#Account#open#to#Harvard#&#non5Harvard#users#

Step&3:&Create#your#own#Dataverse#for#your#own#research,#project,#journal,#and#more#

Step&4:#Create#a#Study##describe#the#study#to#receive#a#formal&data&cita@on&(w/#persistent#URL)#for#others#to#discover#and#cite#your#work!(required!fields!are!author,!1tle,!and!date,!plus!op1onal!fields)!

Step&5:#Upload#Data#Sets#+#Code#+#DocumentaJon#

any#format#or###of#files,#with#a#max#of#2GB/file,#with#more#features#for#certain#formats#(SPSS,#Stata,#R,#FITS,#GraphML)#

Step&6:#Release#Study#+#Dataverse#

for#others#to#find,#cite,#share,#and#reproduce#analyses#of#your#study#

Learn#more#at:#thedata.org#

CREATE ACCOUNT

DATAVERSE REPORT• Due November 1

• create dataverse

• add midterm study to the dataverse

• add datasets to the midterm study

๏ interview instrument, recorded interview, interview transcript, data management plan

DATAVERSE REPORT

• report on your experience using DVN

• 1 page write-up:

๏ what you liked, did not like

๏ what was useful, what was confusing

๏ did you have to do a lot of searching on the website for help

๏ try searching for data sets: was it easy or hard

QUESTIONS?