This document discusses data curation roles and education. It outlines a study to identify key responsibilities of data curators through a content analysis of job descriptions and interviews. The study aims to develop a glossary to better define the profession and support curriculum development. It finds that data curation skills are evolving rapidly, outpacing higher education. While some library and information science programs provide data curation education, challenges include traditionally attracting humanities students rather than those with science backgrounds needed for the field.
LIBER Webinar: Turning FAIR Data Into RealityLIBER Europe
These slides relate to a LIBER Webinar given on 23 April 2018. Turning FAIR Data Into Reality — Progress and Plans from the European Commission FAIR Data Expert Group.
In this webinar, Simon Hodson, Executive Director of CODATA and Chair of the FAIR Data Expert Group, and Sarah Jones, Associate Director at the Digital Curation Centre and Rapporteur, reported on the Group’s progress.
LIBER Webinar: Turning FAIR Data Into RealityLIBER Europe
These slides relate to a LIBER Webinar given on 23 April 2018. Turning FAIR Data Into Reality — Progress and Plans from the European Commission FAIR Data Expert Group.
In this webinar, Simon Hodson, Executive Director of CODATA and Chair of the FAIR Data Expert Group, and Sarah Jones, Associate Director at the Digital Curation Centre and Rapporteur, reported on the Group’s progress.
Texas Digital Library: Research, Learning and Scholarship - Ryan Steans - RDAP12ASIS&T
Texas Digital Library: research, learning and scholarship
Ryan Steans, Program Coordinator
Presentation at Research Data Access & Preservation Summit
22 March 2012
This presentation was provided by Rebecca Bryant of OCLC during the NISO virtual conference, Research Information Networks: The Connections Enabling Collaboration, held on Wednesday, August 16, 2017.
Performances, preservation and policy implications: digital curation and pres...L Molloy
Laura Molloy: 'Performances, preservation and policy implications: digital curation and preservation awareness and strategy in the performing arts'. Presentation to the Digital Preservation for the Arts, Social Sciences and Humanities (DPASSH) conference, Dublin, Eire, 26 June 2015.
Please contact laura.molloy AT glasgow.ac.uk for further information on the study described.
This presentation was provided by Peggy Layne, Andi Ogier, and Ginny Pannabecker of Virginia Tech during the NISO virtual conference, Research Information Systems: The Connections Enabling Collaboration, held on August 16, 2017.
Supporting Research Data Management in UK Universities: the Jisc Managing Res...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ExLibris event, 'Excellence in Academic Knowledge Management', Utrecht, 29 October 2013.
Research Data Management Initiatives at the University of EdinburghRobin Rice
This paper will discuss the issues involved in exploring university obligations in the area of research data management, while conveying the current state of progress at one institution, Edinburgh. The issues are fairly static – from data ownership and rights to retention and sustainability – but the solutions are a moving target as the research environment and its technologies continue to change, subtly altering what is perceived as possible, feasible, and desirable. The planned University of Edinburgh approach to research data storage and management will be outlined.
What I wish I’d known at the start! What I wish I’d known at the start! Lessons learned the hard way when setting up RDM services;
Stephen Grace, London South Bank University, Sarah Jones, DCC; Research Data Network
presentation at Electronic Resources & Libraries, April 5, 2016
http://erl2016.sched.org/event/5ZQN/s45-sharing-and-reuse-of-scientific-and-research-data-risky-for-privacy
Texas Digital Library: Research, Learning and Scholarship - Ryan Steans - RDAP12ASIS&T
Texas Digital Library: research, learning and scholarship
Ryan Steans, Program Coordinator
Presentation at Research Data Access & Preservation Summit
22 March 2012
This presentation was provided by Rebecca Bryant of OCLC during the NISO virtual conference, Research Information Networks: The Connections Enabling Collaboration, held on Wednesday, August 16, 2017.
Performances, preservation and policy implications: digital curation and pres...L Molloy
Laura Molloy: 'Performances, preservation and policy implications: digital curation and preservation awareness and strategy in the performing arts'. Presentation to the Digital Preservation for the Arts, Social Sciences and Humanities (DPASSH) conference, Dublin, Eire, 26 June 2015.
Please contact laura.molloy AT glasgow.ac.uk for further information on the study described.
This presentation was provided by Peggy Layne, Andi Ogier, and Ginny Pannabecker of Virginia Tech during the NISO virtual conference, Research Information Systems: The Connections Enabling Collaboration, held on August 16, 2017.
Supporting Research Data Management in UK Universities: the Jisc Managing Res...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ExLibris event, 'Excellence in Academic Knowledge Management', Utrecht, 29 October 2013.
Research Data Management Initiatives at the University of EdinburghRobin Rice
This paper will discuss the issues involved in exploring university obligations in the area of research data management, while conveying the current state of progress at one institution, Edinburgh. The issues are fairly static – from data ownership and rights to retention and sustainability – but the solutions are a moving target as the research environment and its technologies continue to change, subtly altering what is perceived as possible, feasible, and desirable. The planned University of Edinburgh approach to research data storage and management will be outlined.
What I wish I’d known at the start! What I wish I’d known at the start! Lessons learned the hard way when setting up RDM services;
Stephen Grace, London South Bank University, Sarah Jones, DCC; Research Data Network
presentation at Electronic Resources & Libraries, April 5, 2016
http://erl2016.sched.org/event/5ZQN/s45-sharing-and-reuse-of-scientific-and-research-data-risky-for-privacy
This presentation uses a long-term case study to explore the socio-scientific aspects influencing what data products are created and made available for use. We examine two major satellite remote-sensing product collections from the National Snow and Ice Data Center—one on sea ice extent and another on Greenland ice sheet melt. We examine how the products and their curation have evolved over time in response to environmental events and increasing scientific and public demand over several decades. The products have evolved in conjunction with the needs of a changing and expanding designated user community. These changes in the user community were driven by increased interest in the Arctic partly because of the rapid change in the Arctic as characterized in these data, but also because of the increasing awareness (and controversy) around climate change and its impact.
We find that a data product development cycle supported by a data product team with multiple perspectives is key to mobilizing scientific knowledge to multiple stakeholders. Furthermore, the expertise and approaches to making data open and truly useful must continually adapt to new perceptions, needs, and events. Effective data access is an ongoing process, not a one-time event.
References
Baker K S; Duerr, R E; and Parsons, M A 2016 Scientific knowledge mobilization: Co-evolution of data products and designated communities. International Journal of Digital Curation 10 (2): 110-135. http://dx.doi.org/doi:10.2218/ijdc.v10i2.346
Assessing the User Experience (UX) of Online Museum Collections: Perspectives...craigmmacdonald
Studies show that online museum collections are among the least popular features of a museum website, which many museums attribute to a lack of interest. While it’s certainly possible that a large segment of the population is simply uninterested in viewing museum objects through a computer screen, it is also possible that a large number of people want to find and view museum objects digitally but have been discouraged from doing so due to the poor user experience (UX) of existing online-collection interfaces. This paper describes the creation and validation of a UX assessment rubric for online museum collections. Consisting of ten factors, the rubric was developed iteratively through in-depth examinations of several existing museum-collection interfaces. To validate the rubric and test its reliability and utility, an experiment was conducted in which two UX professionals and two museum professionals were asked to apply the rubric to three online museum collections and then provide their feedback on the rubric and its use as an assessment tool. This paper presents the results of this validation study, as well as museum-specific results derived from applying the rubric. The paper concludes with a discussion of how the rubric may be used to improve the UX of museum-collection interfaces and future research directions aimed at strengthening and refining the rubric for use by museum professionals.
Presented at the 2015 Museums and the Web conference in Chicago IL.
Wayne State University, School of Library and Information ScienceWSU-SLIS
A general introduction to the School of Library and Information Science.
Degrees and Certificate programs reviewed include:
Master of Library and Information Science (On-campus and Online)
Joint MLIS and MA in History Degree Program
School Library Media Specialist Endorsement
Graduate Certificate in Archival Administration
Graduate Certificate in Information Management (online)
Graduate Certificate in Public Library Services to Children and Young Adults (online)
Specialist Certificate in Library and Information Science
New Roles for Librarians: The Blended ProfessionalElaine Martin
Lamar Soutter Library Director Elaine Martin reviews the training initiatives, e-science developments, and questions that are being asked as librarians move from bounded to blended professional roles.
Research Data Management in Academic Libraries: Meeting the ChallengeSpencer Keralis
TLA Program Committee sponsored Preconference talk from Texas Library Association Conference 2013.
CPE#388: SBEC 1.0; TSLAC 1.0
April 24, 2013; 4:00 -4:50 pm
Managing research data is a hot topic in academic libraries. With increased government oversight of publicly-funded research projects, librarians must strive to meet the demand for innovative solutions for managing research information and training the new eneration of librarians to address this issue.
The San Jose State University (SJSU) School of Information (iSchool) hosts online and in-person open house events. Find out more about the iSchool's lifelong learning solutions in this presentation, originally given at the Santa Clara County Library District in Campbell, CA on September 29, 2015.
Succession planning : Principal Faculty Librarian : Rhodes University LibraryEileen Shepherd
Description of job profile, key responsibility areas, standards expected and examples related to these for the post of Principal Librarian, Faculty Liaison Services, at Rhodes University Library, Grahamstown, South Africa.
This presentation was provided by Julie Goldman of Harvard University, during part two of the NISO two-part webinar "Building Data Science Skills: Strategic Support for the Work, Part Two," which was held on March 18, 2020.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
2. Outline
• Role definition and evolving set of competencies and skills
• Curriculum frameworks
• Is the theoretical foundation and knowledge base of LIS able to
provide frameworks for data curation education?
• Is a librarian role? An IFLA investigation first findings
3. Methodology
The study included two phases of data collection and was designed using a mixed-method strategy:
Phase I: Content Analysis of Job Announcements
• Quantitative: Job descriptions
Phase II: Interviews with Data Curators
• Qualitative: Interviews and feedback from academia, industry and the Data curation community in
different Areas
• Literature and documentary review
4. Aims and objectives
Goal
• to identify key responsibilities of data curators
Objectives
• to develop a glossary that should help to better define the profession
• and to support education and training teachers/professionals to develop
appropriate educational curricula.
5. The role definition and competencies
gap
● Data curation has emerged rapidly within professional and research
practice
● Lifecycle management of data, researcher workflow
● Evolving more rapidly than higher education curricula or professional
training
● Skill requirements for professionals in data curation continues to be defined (Kim,
Warga, & Moen, 2013; Osswald, 2013)
● It is an area of inter-disciplinary research and practice
Copenhagen, AIS&T October 18th, 2016 5
6. How, when, where, by whom?
Is the theoretical foundation and knowledge base of LIS able to provide
frameworks for data curation education?
What are the educational qualifications and competencies required of data
curators in your country?
How has LIS education supported professional preparation of data curators so
far?
Copenhagen, AIS&T October 18th, 2016
6
8. Higher Education curricula
New data curation programs
• Open Science
• Data curation
• Digital scholarship
Expanded programs
• archival studies,
• library and information science (LIS)
• computer science
Certificate programs
• Units, Modules with a focus on specific domains
9. Level of qualifications
• Bachelor education
• computer science,
• engineering,
• health sciences,
• and history.
• Masters in library and information science (MLIS)
• PhD
10. Is a librarian role?
Different position titles including
• coordinator of data curation and scholarly communications,
• data curation librarian,
• data librarian,
• data curation scientist,
• digital curation coordinator,
• e-research project officer, project scientist,
• research data management librarian, and research services coordinator.
11. Conclusion
There are challenges in educating data curators in the LIS programs:
• LIS traditionally attracts students with humanities backgrounds, while more people
with science education are needed to meet the needs of this new field;
• Weak technical background
• Low image of librarians