Please join us for the JCDL Workshop on Cyberinfrastructure and Machine Learning for Digital Libraries and Archives.
This workshop will take place on June 3, 2018 in conjunction with:
The Joint Conference on Digital Libraries 2018
June 3-6, 2018
Fort Worth, Texas
Details about the workshop and information about how to submit a proposal can be found here:
I’m delighted to announce that UT Libraries has a new GIS and Geospatial Data Coordinator, Erika Boghici, on staff. Erika has a strong background as a GIS professional with long experience in geospatial data collection, analysis, and the development of information products. She will be expanding our Research Data Services to offer campus-wide support for geospatial research, teaching, and learning.
Digital Rocks is a data portal for fast storage and retrieval, sharing, organization and analysis of images of varied porous micro-structures. It has the purpose of enhancing research resources for modeling/prediction of porous material properties in the fields of Petroleum, Civil and Environmental Engineering as well as Geology.
This platform allows managing, preserving, visualization and basic analysis of available images of porous materials and experiments performed on them, and any accompanying measurements (porosity, capillary pressure, permeability, electrical, NMR and elastic properties, etc.) required for both validation on modeling approaches and the upscaling and building of larger (hydro)geological models.
Read more about the project: https://www.tacc.utexas.edu/-/digital-rock-physics-helps-scientists-understand-porous-media
The Texas Digital Library (TDL) community is invited to attend a new 3-part webinar series, Laying the Foundation for Research Data Services. This series addresses a need identified at the TDL Fall 2016 Data Symposium: to equip librarians with information on how to communicate data services to their campus communities. In this series, attendees will be introduced to the Texas Data Repository’s role in the research data infrastructure and the Data Information Literacy (DIL) model as a framework for building a data service program. Registration is required, and free to TDL members.
- Session 1. Getting Started with the Texas Data Repository and Data Competencies
- Friday, February 17, 2017 | 11:00 AM – 12:00 PM (CST)
- This initial webinar will cover the Texas Data Repository’s role as an integral part of the research data infrastructure in Texas and introduce a set of competencies for data training on your campus. This session will preview following sessions and include results from the data symposium and how these webinars address some of these needs.
- Session 2. Teaching Data: Developing Data Instruction Using a Multi-Level Competency Model
- Tuesday, February 28, 2017 | 11:00 AM – 12:00 PM (CST)
- In this webinar, we will discuss how the Data Information Literacy (DIL) model has been expanded at the University of Texas at Arlington as an adaptable frame on which to build an entire data services program. The presenter will describe the data competencies, their levels, and expectations for teaching emerging, intermediate, and expert level audiences.
- Session 3. Learning By Example: Connecting Data Competencies with the Texas Data Repository
- Thursday, March 9, 2017 | 11:00 AM – 12:00 PM (CST)
- This webinar session will connect teaching data competencies explored in Session 2 with core functionality of the Texas Data Repository. It will address data competency learning outcomes, including: using the TDR to add, describe, share, and publish data; managing data, including versioning and de-accessioning data; and downloading and using data.
- Kristi Park, Executive Director, Texas Digital Library
- Santi Thompson, Head of Digital Repository Services, University of Houston Libraries
- Peace Williamson, Director of Research Data Services, University of Texas at Arlington Libraries
Visit the TDL Webinars page for more information and to register.
Heather Joseph, the Executive Director of SPARC, shared with members today the formal launch of the Open Research Funders Group (ORFG).
“The ORFG is a partnership of eight high-profile funding organizations who will work together on efforts to promote open access to research outputs. Together, they represent nearly $5 billion in combined annual grant funding and have committed to foster efforts in sharing research articles and data. The inaugural ORFG members believe that this collaboration will accelerate the pace of discovery, reduce information-sharing gaps, encourage innovation, and promote better reproducibility in the research environment. ”
For more information on the Open Research Funders Group, please visit their website at www.orfg.org.
The Obama administration issued an important report earlier in the week announcing its strategic plan for big data research and development. You can read the announcement from the OSTP (Office of Science and Technology Policy) blog here:
And download the full report, titled “The Federal Big Data Research and Development Strategic Plan” here:
The DataONE Community Engagement working group has created a list of links to studies, reports, and surveys wherein the needs of researchers related to data management were assessed. This list was generated by Carly Stasser (CDL), Stephanie Wright (U Washington) and Gail Steinhart (Cornell).
The DMPTool, a customizable interface for creating data management plans, has added its 100th institution-Baylor University. UT Austin has been partnered with the DMPTool for over a year. You can login to the DMPTool with your EID and password, and then create your funder-specific data management plan while seeing links & help text for UT data resources.
For more information about the 100th addition: http://blog.dmptool.org/2013/09/24/dmptool-adds-100th-institution/
For more information about the DMPTool: https://dmp.cdlib.org/about/dmp_about
This month, we’d like to highlight figshare: http://figshare.com/
What is figshare?
figshare is an open data repository founded January 2011 by Mark Hahel and supported by Digital Science. Its mission is to make data more easily discoverable, citable, and shareable. figshare is partnered with open access publisher Public Library of Science (PLOS) to host supplemental data for their journals and provide widgets to view inline data alongside articles.
How does deposit work?
All depositors must register for an account. Researchers may upload data in any format and are given unlimited space for data made freely available on the site and 1 GB of storage for private data. Public-facing datasets will be issued a DOI and licensed under CC0, or no rights reserved. All other objects, including posters, papers, and media, are similarly issued a DOI, but are licensed under CC-BY. Version control is supported, so you may alter your public and private data.
How persistent is the repository?
figshare is partnered with the CLOCKSS Archive to preserve all public content. If figshare goes out of business or its servers experience catastrophic failure, CLOCKSS will trigger and release all materials through the University of Edinburgh and Stanford University.