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

Staffing for Effective Digital Preservation 2017: An NDSA Report

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Reports and White Papers on October 19th, 2017

The National Digital Stewardship Alliance has released Staffing for Effective Digital Preservation 2017: An NDSA Report.

Here's an excerpt:

The 2017 Digital Preservation Staffing Survey provides a useful snapshot of the way digital preservation is accomplished in 2017 and how its practitioners feel about the effectiveness of their current organizational structures. It also builds on the 2012 survey and begins to establish data with which the digital preservation community can identify trends in staffing in the field.

Research Data Curation Bibliography, Version 8 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

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"The Evolution, Approval and Implementation of the U.S. Geological Survey Science Data Lifecycle Model"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on October 18th, 2017

John L. Faundeen and Vivian B. Hutchison have published "The Evolution, Approval and Implementation of the U.S. Geological Survey Science Data Lifecycle Model" in the Journal of eScience Librarianship.

Here's an excerpt:

This paper details how the U.S. Geological Survey (USGS) Community for Data Integration (CDI) Data Management Working Group developed a Science Data Lifecycle Model, and the role the Model plays in shaping agency-wide policies and data management applications. Starting with an extensive literature review of existing data lifecycle models, representatives from various backgrounds in USGS attended a two-day meeting where the basic elements for the Science Data Lifecycle Model were determined. Refinements and reviews spanned two years, leading to finalization of the model and documentation in a formal agency publication.

Research Data Curation Bibliography, Version 8 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

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"Pursuing Best Performance in Research Data Management by Using the Capability Maturity Model and Rubrics "

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on October 11th, 2017

Jian Qinet al. have published "Pursuing Best Performance in Research Data Management by Using the Capability Maturity Model and Rubrics " in the Journal of eScience Librarianship.

Here's an excerpt:

The RDM CMM [Capability Maturity Model] includes five chapters describing five key process areas for research data management: 1) data management in general; 2) data acquisition, processing, and quality assurance; 3) data description and representation; 4) data dissemination; and 5) repository services and preservation. In each chapter, key data management practices are organized into four groups according to the CMM's generic processes: commitment to perform, ability to perform, tasks performed, and process assessment (combining the original measurement and verification). For each area of practice, the document provides a rubric to help projects or organizations assess their level of maturity in RDM.

Research Data Curation Bibliography, Version 8 | Digital Curation and Digital Preservation Works | Digital Scholarship | Digital Scholarship Sitemap

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Version 8 of the Research Data Curation Bibliography Released

Posted in Bibliographies, Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Digital Scholarship Publications on October 4th, 2017

Digital Scholarship has released Version 8 of the Research Data Curation Bibliography. This selective bibliography includes over 680 English-language articles, books, and technical reports that are useful in understanding the curation of digital research data in academic and other research institutions. Printed from the HTML page, it is over 130 pages long.

The Research Data Curation Bibliography covers topics such as research data creation, acquisition, metadata, provenance, repositories, management, policies, support services, funding agency requirements, peer review, publication, citation, sharing, reuse, and preservation.

Most sources have been published from January 2009 through September 2017; however, a limited number of earlier key sources are also included. The bibliography includes links to freely available versions of included works. If such versions are unavailable, links to the publishers' descriptions are provided.

Abstracts are included in this bibliography if a work is under a Creative Commons Attribution License (BY and national/international variations), a Creative Commons public domain dedication (CC0), or a Creative Commons Public Domain Mark and this is clearly indicated in the work.

The Research Data Curation Bibliography is under a Creative Commons Attribution 4.0 International License.

Digital Curation Bibliography: Preservation and Stewardship of Scholarly Works and 2012 Supplement | Digital Curation and Digital Preservation Works | Digital Scholarship | Digital Scholarship Sitemap

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"Scientific Data From and for the Citizen"

Posted in Data Curation, Open Data, and Research Data Management, Open Science on August 10th, 2017

Sven Schade et al. have published "Scientific Data From and for the Citizen" in First Monday.

Here's an excerpt:

Powered by advances of technology, today's Citizen Science projects cover a wide range of thematic areas and are carried out from local to global levels. This wealth of activities creates an abundance of data, for example, in the forms of observations submitted by mobile phones; readings of low-cost sensors; or more general information about peoples’ activities. The management and possible sharing of this data has become a research topic in its own right. We conducted a survey in the summer of 2015 in order to collectively analyze the state of play in Citizen Science. This paper summarizes our main findings related to data access, standardization and data preservation. We provide examples of good practices in each of these areas and outline actions to address identified challenges.

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100% Online Professional Science Master’s Degree in Digital Curation at UNC Chapel Hill Announced

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on August 4th, 2017

University of North Carolina at Chapel Hill has announced its new Professional Science Master's Degree in Digital Curation.

Here's an excerpt from the announcement:

This innovative, 100% online program is now accepting applications for the initial cohort of students who will begin classes in January 2018. Deadline to apply for January admission is October 10, 2017.

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"50 Years of Social Science Data Services: A Case Study from the University of Wisconsin-Madison"

Posted in Data Curation, Open Data, and Research Data Management, Research Libraries on August 1st, 2017

Chiu-chuang Lu Chou has published "50 Years of Social Science Data Services: A Case Study from the University of Wisconsin-Madison" in The International Journal of Librarianship.

Here's an excerpt:

The Data and Information Services Center (DISC), formerly known as the Data and Program Library Services (DPLS) has provided learning, teaching and research support to students, staff and faculty in social sciences at the University of Wisconsin-Madison for 50 years. What changes have our organization, collections, and services experienced? How has DISC evolved with the advancement of technology? What role does DISC play in the current and future landscape of social science data services on our campus and beyond? This paper gives answers to these questions and recommends a few simple steps in adding social science data services in academic libraries.

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"Searching Data: A Review of Observational Data Retrieval Practices"

Posted in Data Curation, Open Data, and Research Data Management on July 25th, 2017

Kathleen Gregory et al. have self-archived "Searching Data: A Review of Observational Data Retrieval Practices."

Here's an excerpt:

A cross-disciplinary examination of the user behaviours involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data. Two analytical frameworks rooted in information retrieval and science technology studies are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.

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"Open Source Software for Digital Preservation Repositories: a Survey"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Digital Repositories, Open Source Software on July 24th, 2017

Carlos André Rosa et al. have self-archived "Open Source Software for Digital Preservation Repositories: a Survey."

Here's an excerpt:

This paper focuses on the state-of-the-art in open-source software solutions for the digital preservation and curation field used to assimilate and disseminate information to designated audiences. Eleven open source projects for digital preservation are surveyed in areas such as supported standards and protocols, strategies for preservation, methodologies for reporting, dynamic of development, targeted operating systems, multilingual support and open source license. Furthermore, five of these open source projects, are further analysed, with focus on features deemed important for the area. Along open source solutions, the paper also briefly surveys the standards and protocols relevant for digital data preservation. The area of digital data preservation repositories has several open source solutions, which can form the base to overcome the challenges to reach mature and reliable digital data preservation.

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"DataCite as a Novel Bibliometric Source: Coverage, Strengths and Limitations"

Posted in Data Curation, Open Data, and Research Data Management, Scholarly Metrics on July 21st, 2017

Nicolas Robinson-Garcia et al. have self-archived "DataCite as a Novel Bibliometric Source: Coverage, Strengths and Limitations."

Here's an excerpt:

This paper explores the characteristics of DataCite to determine its possibilities and potential as a new bibliometric data source to analyze the scholarly production of open data. Open science and the increasing data sharing requirements from governments, funding bodies, institutions and scientific journals has led to a pressing demand for the development of data metrics. As a very first step towards reliable data metrics, we need to better comprehend the limitations and caveats of the information provided by sources of open data. In this paper, we critically examine records downloaded from the DataCite's OAI API and elaborate a series of recommendations regarding the use of this source for bibliometric analyses of open data. We highlight issues related to metadata incompleteness, lack of standardization, and ambiguous definitions of several fields. Despite these limitations, we emphasize DataCite's value and potential to become one of the main sources for data metrics development.

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"14 Years of PID Services at the German National Library of Science and Technology (TIB): Connected Frameworks, Research Data and Lessons Learned from a National Research Library Perspective"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Metadata on July 18th, 2017

Angelina Kraft et al. have published "14 Years of PID Services at the German National Library of Science and Technology (TIB): Connected Frameworks, Research Data and Lessons Learned from a National Research Library Perspective" in Data Science Journal.

Here's an excerpt:

In an ideal research world, any scientific content should be citable and the coherent content, as well as the citation itself, should be persistent. However, today’s scientists do not only produce traditional research papers—they produce comprehensive digital resources and collections. TIB's mission is to develop a supportive framework for a sustainable access to such digital content—focusing on areas of engineering as well as architecture, chemistry, information technology, mathematics and physics. The term digital content comprises all digitally available resources such as audiovisual media, databases, texts, images, spreadsheets, digital lab journals, multimedia, 3D objects, statistics and software code.

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"Trends in Digital Preservation Capacity and Practice: Results from the 2nd Bi-annual National Digital Stewardship Alliance Storage Survey"

Posted in Data Curation, Open Data, and Research Data Management on July 17th, 2017

Michelle Gallinger et al. have published "Trends in Digital Preservation Capacity and Practice: Results from the 2nd Bi-annual National Digital Stewardship Alliance Storage Survey" in D-Lib Magazine.

Here's an excerpt:

Research and practice in digital preservation requires a solid foundation of evidence of what is being protected and what practices are being used. The National Digital Stewardship Alliance (NDSA) storage survey provides a rare opportunity to examine the practices of most major US memory institutions. The repeated, longitudinal design of the NDSA storage surveys offer a rare opportunity to more reliably detect trends within and among preservation institutions rather than the typical surveys of digital preservation, which are based on one-time measures and convenience (Internet-based) samples. The survey was conducted in 2011 and in 2013. The results from these surveys have revealed notable trends, including continuity of practice within organizations over time, growth rates of content exceeding predictions, shifts in content availability requirements, and limited adoption of best practices for interval fixity checking and the Trusted Digital Repositories (TDR) checklist. Responses from new memory organizations increased the variety of preservation practice reflected in the survey responses.

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