Archive for the 'Data Curation, Open Data, and Research Data Management' Category

"How Portable Are the Metadata Standards for Scientific Data? A Proposal for a Metadata Infrastructure"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Metadata on September 10th, 2013

Jian Qin and Kai Li have self-archived "How Portable Are the Metadata Standards for Scientific Data? A Proposal for a Metadata Infrastructure."

Here's an excerpt:

The one-covers-all approach in current metadata standards for scientific data has serious limitations in keeping up with the ever-growing data. This paper reports the findings from a survey to metadata standards in the scientific data domain and argues for the need for a metadata infrastructure. The survey collected 4400+ unique elements from 16 standards and categorized these elements into 9 categories. Findings from the data included that the highest counts of element occurred in the descriptive category and many of them overlapped with DC elements. This pattern also repeated in the elements co-occurred in different standards. A small number of semantically general elements appeared across the largest numbers of standards while the rest of the element co-occurrences formed a long tail with a wide range of specific semantics. The paper discussed implications of the findings in the context of metadata portability and infrastructure and pointed out that large, complex standards and widely varied naming practices are the major hurdles for building a metadata infrastructure.

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"Federal Research Data Requirements Set to Change"

Posted in Data Curation, Open Data, and Research Data Management, Legislation and Government Regulation on September 9th, 2013

Abigail Goben and Dorothea Salo have published "Federal Research Data Requirements Set to Change" in the latest issue of College & Research Libraries News.

Here's an excerpt from:

FERPA, HIPAA, FOIA, and other sunshine laws, National Science Foundation data-management plans—grant-funded research data has had compliance strings attached for some time. Attention to research data is now even more heightened following the responses of the federal agencies in August to the Obama Administration's Office for Science and Technology Policy (OSTP) directive from February 2013.2 Research libraries will need to educate and partner with researchers to improve understanding and compliance, promote proper archiving of digital data, and expand discovery and reuse of research datasets

.

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Draft Policy on Open Access for Data and Information

Posted in Copyright, Data Curation, Open Data, and Research Data Management, Open Access, Publishing on September 6th, 2013

The EU e-infrastructure coordination pro-iBiosphere project has released the Draft Policy on Open Access for Data and Information.

Here's an excerpt from the announcement:

The document addresses legal issues that hamper an integrative system for managing biodiversity knowledge in Europe. It describes the importance for scientists to have access to documents and data in order to synthesize disparate information and to facilitate data mining (or similar research techniques). It explores some aspects of copyright and database protection that influence access to and re-use of biodiversity data and information and refers to exceptions and limitations of copyright or database protection provided for within the relevant EU Directives.

The scientists also suggest that publicly funded institutions should refrain from claiming intellectual property rights for biodiversity data and information published or made accessible by them. Re-use of biodiversity data and information for research purposes should be allowed without any form of authorization. The only claims that publicly funded institutions should make are to ensure users fully acknowledge the sources of information that they rely on.

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figshare for Institutions Launched

Posted in Data Curation, Open Data, and Research Data Management, Digital Repositories, Open Science on September 5th, 2013

figshare has launched an instiutional service for research data.

Here's an excerpt from the announcement:

figshare today announces the launch of 'figshare for Institutions'—a simple and cost-effective software solution for academic and higher education establishments to both securely host and make publicly available its academic research outputs. figshare, allows academic institutions to publish, share and get credit for their research data, hosting videos, datasets, posters, figures and theses in a cost-effective way.

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Special Issue on Research Data Access and Preservation

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on August 19th, 2013

The latest issue of the Bulletin of the Association for Information Science and Technology focuses on research data access and preservation.

Here's a selection of articles:

  • "Partnerships Between Institutional Repositories, Domain Repositories and Publishers"
  • "The Relevance of Research Data Sharing and Reuse Studies"
  • "Tracking Citations and Altmetrics for Research Data: Challenges and Opportunities"
  • "The Research Data Alliance: Implementing the Technology, Practice and Connections of a Data Infrastructure"
  • "The DCC's Institutional Engagements: Raising Research Data Management Capacity in UK Higher Education"

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"If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology"

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science on July 29th, 2013

Jillian C. Wallis, Elizabeth Rolando, and Christine L. Borgman have published "If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology" in PLOS ONE.

Here's an excerpt:

Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a ten-year study of the Center for Embedded Network Sensing (CENS), a National Science Foundation Science and Technology Center. We found that CENS researchers are willing to share their data, but few are asked to do so, and in only a few domain areas do their funders or journals require them to deposit data. Few repositories exist to accept data in CENS research areas.. Data sharing tends to occur only through interpersonal exchanges. CENS researchers obtain data from repositories, and occasionally from registries and individuals, to provide context, calibration, or other forms of background for their studies. Neither CENS researchers nor those who request access to CENS data appear to use external data for primary research questions or for replication of studies. CENS researchers are willing to share data if they receive credit and retain first rights to publish their results. Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities.

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Draft Guidelines for Digital Newspaper Preservation Readiness

Posted in Data Curation, Open Data, and Research Data Management, Digital Archives and Special Collections on July 26th, 2013

The Educopia Institute has released Draft Guidelines for Digital Newspaper Preservation Readiness.

Here's an excerpt:

These Guidelines are a first-draft version of our work to distil preservation-readiness steps into an incremental process that an institution of almost any size or type should be able to use to begin maturing its digital newspaper content management practices.

This first draft is being issued for public review and comment here from July 22, 2013-September 20, 2013.

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Preserving Computer-Aided Design (CAD)

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Reports and White Papers on July 25th, 2013

The Digital Preservation Coalition has released Preserving Computer-Aided Design (CAD).

Here's an excerpt:

Computer-Aided Design (CAD) systems are used in both industry and academia to create digital models, whether of engineering designs, archaeological dig sites, or virtual worlds. These models can be of long-lasting significance and importance, particularly if they contain irreplaceable data or relate to long-lived products. This report is primarily aimed at those responsible for archives and repositories with CAD content, but may also be useful for creators of CAD content who want to make their models more amenable to preservation. It begins with an introduction to the historical development and basic concepts of CAD systems, then reviews the most pertinent issues associated with preserving CAD models, and indicates the current state of standardization work in the area. The report goes on to present some recent research of relevance to preserving CAD models before drawing conclusions and making recommendations on how archives should handle the CAD models they accept.

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Presentations from Open Repositories 2013

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Digital Repositories, Institutional Repositories, Open Access on July 22nd, 2013

Presentations from Open Repositories 2013 are now available.

Here's a brief selection of talks:

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Helping to Open Up: Improving Knowledge, Capability and Confidence in Making Research Data More Open

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Open Access, Open Science, Reports and White Papers on July 22nd, 2013

The Research Information and Digital Literacies Coalition has released Helping to Open Up: Improving Knowledge, Capability and Confidence in Making Research Data More Open.

Here's an excerpt from the announcement:

The report describes a framework for how to address this challenge when designing training and support for opening data, within the broader questions of RDM. Recommendations are set out, relating to:

– putting opening data at the heart of policy

– putting opening data at the heart of training

– deepening and broadening the training

– identifying and disseminating best practice in opening data

– developing institutional and community support

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UC Berkeley School of Information Launches Online Master of Information and Data Science Program

Posted in Data Curation, Open Data, and Research Data Management, Information Schools on July 18th, 2013

The UC Berkeley School of Information has launched an online Master of Information and Data Science program.

Here's an excerpt from the announcement:

The I School is staking out new master's degree territory in educating data scientists. While other institutions provide individual classes, certificates, or associate master's degrees in data science, the I School has designed a comprehensive and integrated suite of courses that culminate in a capstone course designed to solidify a student's knowledge of the breadth of data science concepts and skills.

The rigorous new 27-unit MIDS program officially begins in January 2014. Aimed at the working professional, the program will be offered online—except for a required, one-week immersion program at the I School's home at South Hall, to meet in person and explore the Bay Area tech environment.

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"Using Data Curation Profiles to Design the Datastar Dataset Registry"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on July 16th, 2013

Sarah J. Wright, Wendy A. Kozlowski, Dianne Dietrich, Huda J. Khan, and Gail S. Steinhart have published "Using Data Curation Profiles to Design the Datastar Dataset Registry" in the latest issue of D-Lib Magazine.

Here's an excerpt:

The development of research data services in academic libraries is a topic of concern to many. Cornell University Library's efforts in this area include the Datastar research data registry project. In order to ensure that Datastar development decisions were driven by real user needs, we interviewed researchers and created Data Curation Profiles (DCPs). Researchers supported providing public descriptions of their datasets; attitudes toward dataset citation, provenance, versioning, and domain specific standards for metadata also helped to guide development. These findings, as well as considerations for the use of this particular method for developing research data services in libraries are discussed in detail.

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