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Update on Data Publishing With Dataverse Eleni Castro, Research Coordinator Institute for Quantitative Social Science (IQSS) Harvard University DataCite.

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Presentation on theme: "Update on Data Publishing With Dataverse Eleni Castro, Research Coordinator Institute for Quantitative Social Science (IQSS) Harvard University DataCite."— Presentation transcript:

1 Update on Data Publishing With Dataverse Eleni Castro, Research Coordinator Institute for Quantitative Social Science (IQSS) Harvard University DataCite Annual 2014 Nancy, France August 25, 2014

2 Introduction to Dataverse 2 Provides incentives for researchers to share: Recognition & credit via data citations Control over data & branding Fulfill Data Management Plan requirements Software framework for publishing, citing and preserving research data (open source on github for others to install)github 761 Dataverses Harvard DataverseHarvard Dataverse (open to all; repository instance at Harvard) currently has: 54,828 Datasets 748,554 Files > 1 Million Downloads EZID DOI (2013)

3 Who’s Using Dataverse? 3 Worldwide Dataverse Installations Institutions can setup & host their own Dataverse installation (e.g., Odum, OCUL, DANS, Fudan, etc) and within them can support datasets from a variety of users (across all research domains): Researchers, Projects, Departments, Journals, etc.

4 Journals Publishing Data w/ 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 5 Citation to Data Citation to Article Details/Updates: 2 Year Project Integrating w/ PKP’s Open Journal Systems (Data Deposit API). Pilot with ~ 50 journals + expanding outreach (100s). OJS’ Dataverse plugin now available with latest OJS release. Future: Embed Dataverse widgets into journal article. OJS Journal Journal Dataverse

6 OJS Plugin: Journal Data Policies Boilerplate Templates Read full Data Policies / Guidelines Template: Read full Data Policies / Guidelines Template: Including Guidelines for: 1)Authors (w/ data citation) 2)Reviewers

7 OJS Plugin: Author Manuscript + Data Submission Option to: (A) deposit into Dataverse AND/OR; (B) if data is already in a repository can include the data citation (w/ persistent URL/identifier). A A B B

8 OJS Plugin: Editor Reviews Article + Data

9 Data Published in Dataverse w/ OJS Plugin 2 Options in OJS: 1) Dataset Published (with DOI) at Article Approval. 2) Dataset Published when Journal Issue is Released. In OJS: In Dataverse:

10 OJS Plugin: Article Published w/ Data Citation

11 Towards An Integrated Publishing Lifecycle 11 Image Credit: Mercè Crosas See: Data Citation Principle #1 Importance Importance See: Data Citation Principle #1 Importance Importance

12 Publishing in 4.0 (Late Fall 2014)

13 Rigorous Data Publishing Workflows 13 Draft Dataset Draft Dataset Upload Published Dataset v1 Published Dataset v1 Publish Version 1 Published Dataset v1.1 Published Dataset v1.1 Publish Version 1.1: small metadata change; citation doesn’t change. Publish Version 2: File change (automatic); big metadata change (e.g., author, title). Published Dataset v2 Published Dataset v2 Authors, Title, Year, DOI, Repository, V1 Authors, Title, Year, DOI, Repository, UNF, V2 See: Altman, M., & King, G. (2007) doi: /march2007-altman /march2007-altman See Data Citation Principle #7 Specificity & Verifiability

14 Dataset Versioning (1) 14

15 Dataset Versioning (2) 15

16 Dataset Versioning (3) 16 Ex. Added files to a Dataset so it bumped up to a major version change.

17 Dataset Versioning (4) 17 Ex. Added small metadata change to a Dataset so it bumped up to a minor version change.

18 Deaccession Data in Before a Dataset is published the DOI is private (reserved). Only when published is it made public & searchable. You can Deaccession (in 4.0): 1.a version(s) of a Dataset, or 2.an entire Dataset. In accordance w/ Data Citation Principle #6 Persistence: A Published Dataset cannot be deleted; only deaccessioned, with a reason.

19 Deaccession Workflow (Step 1) 19 Ex. This file was added in v2 and has identifiable information.

20 Deaccession Workflow (Step 2) 20

21 Deaccession Workflow (Step 3) 21

22 Deaccession Workflow (Step 4) 22 Deaccession Landing Page Data Citation Principle #6 Persistence Deaccession Landing Page Data Citation Principle #6 Persistence

23 Data Publishing After 4.0 (2015) 23 Publishing Privacy Sensitive Data Secure Dataverse DataTags (demo) (based on Privacy Laws and DUAs)DataTags (demo) Integration with ORCID (API): create ORCID account, connect all Dataverse datasets to ORCID account. (Note: 4.0 will already allow for authors to enter ID.) Full interview

24 24 Thank you! Contact: More information: Thank you! Contact: More information:


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