Communicating with Data 2010 Annual Meeting

Communicating with Data: New Roles for Researchers, Publishers and Libraries
MacKenzie Smith
Associate Director for Technology, MIT Libraries
Science Commons Research Fellow, Creative Commons
CrossRef Annual Meeting ©2010, MIT

The world’s first hard drive (5Mb)
IBM Almaden Research Center, 1952-1954
That Was Then
4

Current capacity hard drive (>2Tb)
Google Data Center, 2010
This is Now
5

How Much Information?
“IDC research shows that the digital universe —information that is either created, captured, or replicated in digital form — was 281 exabytes in 2007. In 2011, the amount of digital information produced in the year should equal nearly 1,800 exabytes, or 10 times that produced in 2006. The compound annual growth rate between now and 2011 is expected to be almost 60%”
The Diverse and Exploding Digital Universe, 2008 IDC White Paper
6

How Much Information?
7
Sequence Submissions to DNA DataBank of Japan 1993-2005

What Is Research Data?
Observationale.g. sensor, telemetry, survey, sample data
Experimentale.g. genetic sequences, chromatograms
Simulation e.g. climate, economic, 3-D models
Media e.g. images, audio, video
Derived/compilede.g. text/data mining, compiled databases
Often expensive or impossible to reproduce
8

What Is Research Data?
Text e.g. flat text files, Word, PDF
Numericale.g. SPSS, STATA, Excel, MySQL
Media e.g. jpeg, tiff, dicom, mpeg, quicktime
Modelse.g. 3D, statistical
Softwaree.g. Java, C programs
Domain-specifice.g. FITS in astronomy, CIF in chemistry
Instrument-specifice.g. Olympus con-focal microscope
Not always in neat packages like books
9

What Do Researchers Do With Data?
Analyze (e.g. process, visualize)
Share
Review (evaluate methods)
Annotate
Cite
Re-use (reproduce results)
Re-purpose (e.g. integrate)

Data Sharing Innovations
New-fangled Hybrid Articles
Integrate text, data and tools
Enhanced PDFs
Linked Open Data
Access to data via Web standards to encourage large-scale interoperability
“Data Papers”

Issues in Data Curation
Storage very large scale
Metadata what standard to use?
Provenance research methods
Identifiers scalability, persistence
Preservation see slide #5 on formats
Sharing laws confusing, not interoperable

Data Sharing Trends
“The NIH expects and supports the timely release and sharing of final research data from NIH-supported studies for use by other researchers.” NIH grant proposal guide
Similar data management, sharing mandates from US NSF, other funding agencies worldwide
Journals mandating deposit
(e.g. Journal of Evolutionary Biology)
13

Data Interoperability
IPR and data licenses
Lots of data not copyrightable since facts cannot be copyrighted
UK, EU, some other countries have sui generis data rights
Laws not “interoperable”
Big problem for international scientific collaborations and data re-purposing
14

BWIN presentation ©2010, MIT
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Libraries and Data
Established curation for some data types
statistical (Harvard-MIT Data Center)
geospatial (Geodata Repository)
bioinformatics (via NLMNCBI)
digital media (e.g. images, videos)
datasets (IR digital archives)
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17

Libraries and Data
Applies to both faculty-authored and externally-acquired data
Consultation services (in-person, via Website)
Liaise with data archives (e.g. ICPSR)
Develop (meta)data standards (e.g. DDI)
Manage and preserve data
18

19

Robotics Data in DSpace@MIT
The Library:
Defined local taxonomy for metadata values
Customized metadata records
Adapted/simplified deposit workflow
Loaded data from previous repository
Added CC0 licenses
Review of new deposits done by community
20

New roles for scholarly data Communication

Researcher’s Role: Data Provision
e.g. Sage Commons
“The Sage Commons is a novel information platform being built by an international partnership of researchers and stakeholders to define the molecular basis of disease and guide the development of effective human therapeutics and diagnostics.
The Sage Commons will be used to integrate diverse molecular mega-data sets, to build predictive bionetworks and to offer advanced tools proven to provide unique new insights into human disease biology. Users will also be contributors that advance the knowledge base and tools through their cumulative participation.
The public access mission of the Sage Commons requires the development of a new strategic and legal framework to protect the rights of contributors while providing widespread access to integrative genomics resources.”
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Library’s Role: Data Curation
Data organization and annotation
e.g. ontologies and metadata
Data archiving, preservation
e.g. perpetual access
Outreach and support to local researchers
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Publisher’s Role: Data Accreditation
Require data deposit to archives
Publish data journals
Manage peer review (quality control)
Provide credit for data publishing
(evolution of promotion & tenure system)
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Data Papers Revisited
“a formal publication whose primary purpose is to expose and describe data, as opposed to analyze and draw conclusions from it.”
Organize peer-review, establish quality-control measures
Create citable entity
Establish cross-linking mechanisms with traditional papers, to enforce separation of concerns (methodology vs analysis)
Specify required documentation to make data re-usable, re-purposable
Apply standard interoperable legal license (CC0or PDDL with normative attribution, CC-By with URI attribution)
Ensure archiving strategy in place
Jonathan Rees, Recommendations for independent scholarly publication of data sets, Creative Commons Working Paper, March 2010,
http://neurocommons.org/report/data-publication.pdf

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Communicating with Data 2010 Annual Meeting

by CrossRef on Nov 29, 2010

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Communicating with Data 2010 Annual Meeting — Presentation Transcript