Uc3 pasig-asis&t-2013-08-20-support-of-data-intensive-research
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Information technology and resources are an integral and indispensable part of the contemporary academic enterprise. In particular, technological advances have nurtured a new paradigm of ...

Information technology and resources are an integral and indispensable part of the contemporary academic enterprise. In particular, technological advances have nurtured a new paradigm of data-intensive research. However, far too much of this activity still takes place in silos, to the detriment of open scholarly inquiry, integrity, and advancement. To counteract this tendency, the University of California Curation Center (UC3) has been developing and deploying a comprehensive suite of curation services that facilitate widespread data management, preservation, publication, sharing, and reuse. Through these services UC3 is engaging with new communities of use: in addition to its traditional stakeholders in cultural heritage memory organizations, e.g., libraries, museums, and archives, the UC3 service suite is now attracting significant adoption by research projects, laboratories, and individual faculty researchers. This webinar will present an introduction to five specific services – DMPTool, DataUp, EZID, Merritt, Web Archiving Service (WAS) – applicable to data curation throughout the scholarly lifecycle, two recent initiatives in collaboration with UC campuses, UC Berkeley Research Hub and UC San Francisco DataShare, and the ways in which they encourage and promote new communities of practice and greater transparency in scholarly research.

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  • Copyright © 2013 by The Regents of the University of CaliforniaThis work is made available under the terms of the Creative Commons Attribution-ShareAlike 3.0 license

Uc3 pasig-asis&t-2013-08-20-support-of-data-intensive-research Uc3 pasig-asis&t-2013-08-20-support-of-data-intensive-research Presentation Transcript

  • Building Communities and Services in Support of Data-Intensive Research Stephen Abrams University of California Curation Center California Digital Library August 20, 2013
  • Topics  Data curation  UC3 services  DMPTool  DataUp  EZID  Merritt  WAS  Collaborative initiatives  DataShare  Research Hub  Conclusions
  • Why is data curation important?  Integrity  Enabling appropriate scrutiny, debate, reproduction, and verification of results  Efficiency  Avoiding needless duplication of effort  Policy  Complying with institutional policies, publication requirements, and funder mandates “*Data] is a valuable national asset whose value is multiplied when it is made easily accessible to the public” – Office of Science and Technology Policy
  • Why is data curation important?  Catalyzing  Promoting progress through new collaborations and creative (re)use of data “If I have seen further it is by standing on the shoulders of giants” – Isaac Newton, 1676
  • What is the library’s role?  A continuation of its long-standing mission and practice to connect patrons with content of interest in meaningful ways across barriers of space and time Cf. Tenopir et al. (2012), “Academic librarians and research data services: Preparation and attitudes,” 78th IFLA General Conference and Assembly, Helsinki, http://conference.ifla.org/past/ifla78/116-tenopir-en.pdf  Offering solutions that enhance the natural points of alignment between the scholarly research and information lifecycles Publish Reuse ShareCreate Discover Collect PreserveAccessResearchResearch CurationCuration Scholarly lifecycle Information lifecycle
  • Why is data curation hard?  Ever increasing number, size, and diversity of content  Inevitability of disruptive change  Resources not keeping pace with growth  Stakeholders outside of traditional cultural heritage domains, with lots of questions  Who can give me advice on what I should do?  How should I describe and package my data?  How can I cite my data in order to receive credit for it?  How can I share my data?  What can I do with web published data? …
  • DMPTool – guidance and resources Finalist, 2012 DPC Award for Research and Innovation http://dmptool.org/  Create, edit, and share data management plans  Meet funder requirements  Provide institutional guidance  Links to local resources
  • DMPTool – guidance and resources Finalist, 2012 DPC Award for Research and Innovation http://dmptool.org/  Create, edit, and share data management plans  Meet funder requirements  Provide institutional guidance  Links to local resources
  • DMPTool – guidance and resources Two recently funded projects  Functional enhancements and open source community development Sloan Foundation  Training and outreach IMLS http://dmptool.org/  New options for DMP collaboration and formal and ad hoc review  Stronger administrative control and customization
  • DataUp – description and packaging http://dataup.cdlib.org/ http://www.dataup.org/ “It’s easier to augment systems than it is to change behavior” Curation for tabular datasets  Excel add-in  Azure cloud service
  • DataUp – description and packaging http://dataup.cdlib.org/ http://www.dataup.org/  Best practices check  Data description  Identifier and citation generation  Repository submission to ONEShare Curation for tabular datasets  Excel add-in  Azure cloud service
  • DataUp – description and packaging http://dataup.cdlib.org/ http://www.dataup.org/ What researchers don’t need to know  Schema definition and XML syntax  Identifier registration procedures  Citation format  Repository packaging and submission  Harvesting for aggregation 2013 Innovation Award winner Recently funded project  Functional enhancements and open source community development NSF
  • EZID – identification and citation http://n2t.net/ezid/ UC3 is a founding member of the DataCite consortium  Mint DOI and ARK  Add descriptive metadata  Receive QR code  Global resolution  Aggregated discovery  Updatable resolution URLs  Establish and maintain persistent two-way linkages between the literature and the data that underlies its results
  • EZID – identification and citation UC3 is a founding member of the DataCite consortium  Mint DOI and ARK  Add descriptive metadata  Receive QR code  Global resolution  Updatable resolution URLs  Link to dataset in repository http://n2t.net/ezid/
  • EZID – identification and citation UC3 is a founding member of the DataCite consortium  Mint DOI and ARK  Add descriptive metadata  Receive QR code  Global resolution  Updatable resolution URLs  Link from dataset landing page to article citing the data
  • EZID – identification and citation UC3 is a founding member of the DataCite consortium  Mint DOI and ARK  Add descriptive metadata  Receive QR code  Global resolution  Updatable resolution URLs  Link from article back to dataset
  • EZID – identification and citation UC3 is a founding member of the DataCite consortium  Aggregated discovery via DataShare and Ex Libris Primo  Later this year, aggregation via T-R Data Citation Index
  • EZID – identification and citation UC3 is a founding member of the DataCite consortium  SEI for public visibility in leading search engines
  • Merritt – preservation and access  Content agnostic, model free  Micro-service architecture  UI and RESTful API  26 curatorial units  271 collections  325,000 objects  450,000 versions  4,500,000 files  13 TB http://merritt.cdlib.org/  Enforceable Data Use Agreements (DUAs) in response to concerns over potential loss of control over dissemination and reuse Open to the UC community and external partners  Dark archive for long-term assurance  Bright archive for sharing  Integration with preservation grids  Integration with public access portals  Integration with CMS
  • Merritt – preservation and access  Content agnostic, model free  Micro-service architecture  UI and RESTful API  26 curatorial units  271 collections  325,000 objects  450,000 versions  4,500,000 files  13 TB  For curatorially-designated collections and objects, a download request triggers … Open to the UC community and external partners  Dark archive for long-term assurance  Bright archive for sharing  Integration with preservation grids  Integration with public access portals  Integration with CMS
  • Merritt – preservation and access  Content agnostic, model free  Micro-service architecture  UI and RESTful API  26 curatorial units  271 collections  325,000 objects  450,000 versions  4,500,000 files  13 TB Open to the UC community and external partners  Dark archive for assurance  Bright archive for sharing  Integration with preservation grids  Integration with public access portals  Integration with CMS  Click-through DUA; acceptance of terms of use triggers …
  • Merritt – preservation and access  Content agnostic, model free  Micro-service architecture  UI and RESTful API  26 curatorial units  271 collections  325,000 objects  450,000 versions  4,500,000 files  13 TB Open to the UC community and external partners  Dark archive for assurance  Bright archive for sharing  Integration with preservation grids  Integration with public access portals  Integration with CMS From: no-reply-merritt@ucop.edu Subject:Merritt DUA acceptance Name: Stephen Abrams Affiliation: California Digital Library Collection: UCSF DataShare Object: Frontotemporal Lobar Degeneration (FTLD) Date: 2013-05-3109:50:34PDT Terms of use: As part of this agreement, Consumer submits to the following statements: (1) I will receive access to de-identified data and will not attempt to establish the identity of any of the study subjects. (2) I will share these data only with my immediate co-workers, and I will not transfer these data to other research groups. I understand that these data are available to other research groups through the process by which I obtain them. (3) I will require anyone in my group who utilizes these data, or anyone with whom I share these data to comply with this data use agreement ...  Email notification to consumer and curator  Delivery of requested content
  • Web Archiving Service http://was.cdlib.org/  Collect, describe, manage, preserve, and provide access to web sites  Analysis tools  Full-text search  27 curatorial units  185 collections  10,772 web sites  97,121 captures  64 TB “You can’t study life in our time without the Internet, so we must preserve it” – René Vourburg, KB  Initially developed as part of the NDIIPP-funded Web at Risk project  The web has become the publication platform of choice  Source of important primary and secondary research data
  • Web Archiving Service http://was.cdlib.org/  Collect, describe, manage, preserve, and provide access to web sites  Analysis tools  Full-text search  27 curatorial units  185 collections  10,772 web sites  97,121 captures  64 TB “You can’t study life in our time without the Internet, so we must preserve it” – René Vourburg, KB  Initially developed as part of the NDIIPP-funded Web at Risk project  For example, California water district web sites supplement UC Davis source water assessment and protection (SWAP) Merritt collections
  • Connecting to communities of practice  Engage with new user communities where and how they already work  Shifting user roles, shifting expectations  Institutional  individual researcher  Behavioral expectations set by the commercial/mobile web
  • DataShare – catalyzing science  UCSF Clinical and Translational Science Institute http://ctsi.ucsf.edu/  UCSF Library http://www.library.ucsf.edu/  UCSF Center for Imaging of Neurodegenerative Disease http://www.radiology.ucsf.edu/cind/ http://datashare.ucsf.edu/ “Making data transparent and available is going to accelerate all of science; it's a relatively inexpensive way to get more value out of all of the work that we do” – Michael Weiner, UCSF  Pilot project in biomedical imaging “The goal is to catalyze widespread sharing of scientific research data”  Prepare  Describe  Upload  Curate  Discover  Share
  • DataShare – catalyzing science  UCSF-developed submission client, supporting intuitive drag & drop operation and metadata entry  EZID for DOIs; Merritt for preservation  XTF-based faceted search/browse portal http://xtf.cdlib.org/ http://datashare.ucsf.edu/ “Making data transparent and available is going to accelerate all of science; it's a relatively inexpensive way to get more value out of all of the work that we do” – Michael Weiner, UCSF  Pilot project in biomedical imaging “The goal is to catalyze widespread sharing of scientific research data”  Prepare  Describe  Upload  Curate  Discover  Share
  • Research Hub – content mgmt and collaboration  3,900 users  770 projects  Alfresco CMS  Desktop sync  Mobile apps  Abode Creative Suite  Personal file management  Project collaboration  Departmental resource pooling  Research data sharing “Powerful tools for management and collaboration”  Create  Organize and enrich  Keep safe  Share http://hub.berkeley.edu/  UC Berkeley Information Services &Technologies http://ist.berkeley.edu/
  • Research Hub – content mgmt and collaboration  3,900 users  770 projects  Alfresco CMS  Desktop sync  Mobile apps  Abode Creative Suite  Personal file management  Project collaboration  Departmental resource pooling  Research data sharing “Powerful tools for management and collaboration”  Create  Organize and enrich  Keep safe  Share http://hub.berkeley.edu/  Primary discovery and access via Research Hub  EZID for DOIs; Merritt for preservation  Merritt access called for in succession plans
  • Data curation “Access to and sharing of data are essential for the conduct and advancement of science” — Arzberger et al. (2004), “Promoting access to public research data for scientific, economic, and social development,” Data Science Journal 3: 135-52, doi:10.2481/dsj.3.135  Pro-active curation of research outputs is necessary to ensure their ongoing viability and use  Good for research; good for researchers  Quicker, more innovative science; higher impact factor  Increasingly necessary for conformance to institutional policies, publication requirements, and funder mandates
  • Data curation  Widespread adoption is dependent on outreach, education, and minimal intrusion into existing disciplinary workflows and common community practices  The most effective – and sustainable – curation services are composed from best-of-breed components  Libraries are a natural curation partner for the research community
  • For more information  UC Curation Center http://www.cdlib.org/uc3/ uc3@ucop.edu Stephen Abrams David Loy Patricia Cruse Mark Reyes Shirin Faenza Joan Starr Scott Fisher Carly Strasser Erik Hetzner Marisa Strong Joshua Hubbard Bhavitavya Vedula Greg Janée Kenneth Weiss John Kunze Perry Willet Rosalie Lack  DataShare http://datashare.ucsf.edu/ Geoffrey Boushey Megan Laurance Anirvan Chatterjee Angela Rizk-Jackson Maninder Kahlon Michael Weiner Julia Kochi  Research Hub http://hub.berkeley.edu/ Ian Crew Patrick McGrath Michael McCarthy Noah Wittman