Update on Dataverse Dryad-Dataverse Community Meeting. Mercè Crosas, Elizabeth Quigley & Eleni Castro. Data Science > IQSS > Harvard University
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1 Update on Dataverse Image credit: David Bygott (CC-BY-NC-SA) 2014 Dryad-Dataverse Community Meeting Mercè Crosas, Elizabeth Quigley & Eleni Castro Data Science > IQSS > Harvard University
2 Introduction to Dataverse Software framework for publishing, citing and preserving research data (open source on github for others to install) Provides incentives for researchers to share: Recognition & credit via data citations Control over data & branding Fulfill Data Management Plan requirements Harvard Dataverse (open to all repository instance at Harvard) currently has: 700 Dataverses > 1 Million Downloads 53, 857 Datasets 739,326 Files 2
3 Who s Using Dataverse? Worldwide Dataverse Installations Harvard Dataverse (open to all) Types of Dataverses (across all research domains) Institutions (ODUM, MIT, OCUL, ) Projects (IFPRI, PSI, COMPLETE, ) Journals (AJPS, Open Health Data, ) Researchers (Jonathan McDowell, Eric Dunipace, ) 3
4 Journals Working With Dataverse Option A. Journals include Dataverse as a Recommended Repository Option B. Authors Contribute Directly to a Journal Dataverse Option C. Seamless Integration btw Journal + Dataverse (e.g., OJS) 4
5 OJS-Dataverse Integration OJS Journal Citation to Data Journal Dataverse Citation to Article Details/Updates: Integrating w/ PKP s Open Journal Systems (Data Deposit API). Pilot with ~ 50 journals + expanding outreach. OJS Dataverse plugin now available with latest OJS release. Future: Embed Dataverse widget into journal article. 5
6 Dataverse Milestones : Virtual Data Center (VDC) 2006: Coding of Dataverse begins (initial focus on Social Sciences data) November 2009: Review of Economics and Statistics (RESTAT) Integration with Dataverse 2011: Expanded to include Astronomy & Astrophysics data Fall 2012: OJS & Dataverse API Integration March 2012: Dataverse 3.0 Released April-May 2013: First Usability Testing of Dataverse 2013: Expanded to include Biomedical data October 2013: Dataverse 4.0 development begins October 2013: User centered design process integrated October 2013-Present Dataverse 4.0 Development 6
7 How our users have influenced 4.0: Over 50 usability testing sessions Users from various disciplines participated User feature requests and reported issues via support tickets System Usability Scale Task completion rates Prototype review sessions with partners Metadata reviews with discipline/domain experts 7
8 Overview of Dataverse 4.0 Try our Beta site: 8
9 Rigorous Data Publishing Workflows Upload Draft Dataset Note: A Published Dataset cannot be deleted (only deaccessioned, if legally needed). Publish Version 1 Authors, Title, Year, DOI, Repository, V1 Published Dataset v1 Publish Version 1.1: small metadata change; citation doesn t change. Published Dataset v1.1 Publish Version 2: File change (automatic); big metadata change; or citation changes. Authors, Title, Year, DOI, Repository, UNF, V2 Published Dataset v2 See: Altman, M., & King, G. (2007) doi: /march2007-altman 9
10 Expanding Metadata Support Metadata Schema Version 3.6 Version 4.0 DDI (General & Social Science)* X (v2.1) X (v.2.5) Simple Dublin Core X X Dublin Core Terms X DataCite 3.0 X Virtual Observatory (Astrophysics)** X ISA-Tab (Biomedical)*** X * Including variable level metadata found in tabular data files. ** Automatically extracts relevant metadata from the header FITS files. *** Controlled vocabulary maps to ontologies/taxonomies (OBI, NCBI, ). 10
11 Biomedical Metadata 11
12 Enhanced Faceted Search 12
13 Enhanced Faceted Search 13
14 Enhanced Faceted Search 14
15 Expanded Advanced Search Ability to search on specific dataset metadata fields across various domains 15
16 Integrated with Dataverse & Zelig For users at all statistical levels Explore data, view descriptive statistics, and estimate statistical models for files in datasets 16
17 Integrated with Dataverse & Zelig For users at all statistical levels Explore data, view descriptive statistics, and estimate statistical models for files in datasets 17
18 Integrated with Dataverse & Zelig For users at all statistical levels Explore data, view descriptive statistics, and estimate statistical models for files in datasets 18
19 What to Expect After
20 WorldMap Integration 1. Upload a file containing geographic data into Dataverse 2. Easily visualize the data on the WorldMap system 3. WorldMap layer embedded into dataset in Dataverse 20
21 WorldMap Integration 1. Upload a file containing geographic data into Dataverse 2. Easily visualize the data on the WorldMap system 3. WorldMap layer embedded into dataset in Dataverse 21
22 DataTags: Sharing Sensitive Data Demo: 22
23 23
24 Full Interview 24
25 Collaborations & More Biomedical Metadata + Tools HSPH: TB Genomics & Molecular Epidemiology Data Harvard Stem Cell Institute FAIRport Data Astronomy Metadata + Tools Seamless Astronomy Group Harvard-Smithsonian Center for Astrophysics Also working on: Integration w/: ORCID, Open Science Framework, DataUp, DataBridge, Support for large-scale datasets with efficient data storage. 25
26 Data Science Team Researchers Statistical Innovation Data Curation & Stewardship Information Scientists Data Science Applications and Tools Tool Building & Computer Science Software Engineers Thank you! Contact:
Dataverse 4.0 & Beyond. Eleni Castro > Ins/tute for Quan/ta/ve Social Science (IQSS), Harvard University
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