Raymond Lisa

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Raymond
First Name
Lisa
ORCID
0000-0003-2813-0256

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  • Article
    Aquatic Commons update
    (IAMSLIC, 2010) Raymond, Lisa ; Walton, Jennifer
  • Article
    Data publication
    (IAMSLIC, 2013) Raymond, Lisa
  • Presentation
    Lessons learned from 104 years of mobile observatories [poster]
    ( 2007-12-10) Miller, Stephen P. ; Neiswender, Caryn ; Clark, Dru ; Raymond, Lisa ; Rioux, Margaret A. ; Norton, Cathy N. ; Detrick, Robert S. ; Helly, John ; Sutton, Don ; Weatherford, John
    As the oceanographic community ventures into a new era of integrated observatories, it may be helpful to look back on the era of "mobile observatories" to see what Cyberinfrastructure lessons might be learned. For example, SIO has been operating research vessels for 104 years, supporting a wide range of disciplines: marine geology and geophysics, physical oceanography, geochemistry, biology, seismology, ecology, fisheries, and acoustics. In the last 6 years progress has been made with diverse data types, formats and media, resulting in a fully-searchable online SIOExplorer Digital Library of more than 800 cruises (http://SIOExplorer.ucsd.edu). Public access to SIOExplorer is considerable, with 795,351 files (206 GB) downloaded last year. During the last 3 years the efforts have been extended to WHOI, with a "Multi-Institution Testbed for Scalable Digital Archiving" funded by the Library of Congress and NSF (IIS 0455998). The project has created a prototype digital library of data from both institutions, including cruises, Alvin submersible dives, and ROVs. In the process, the team encountered technical and cultural issues that will be facing the observatory community in the near future. Technological Lessons Learned: Shipboard data from multiple institutions are extraordinarily diverse, and provide a good training ground for observatories. Data are gathered from a wide range of authorities, laboratories, servers and media, with little documentation. Conflicting versions exist, generated by alternative processes. Domain- and institution-specific issues were addressed during initial staging. Data files were categorized and metadata harvested with automated procedures. With our second-generation approach to staging, we achieve higher levels of automation with greater use of controlled vocabularies. Database and XML- based procedures deal with the diversity of raw metadata values and map them to agreed-upon standard values, in collaboration with the Marine Metadata Interoperability (MMI) community. All objects are tagged with an expert level, thus serving an educational audience, as well as research users. After staging, publication into the digital library is completely automated. The technical challenges have been largely overcome, thanks to a scalable, federated digital library architecture from the San Diego Supercomputer Center, implemented at SIO, WHOI and other sites. The metadata design is flexible, supporting modular blocks of metadata tailored to the needs of instruments, samples, documents, derived products, cruises or dives, as appropriate. Controlled metadata vocabularies, with content and definitions negotiated by all parties, are critical. Metadata may be mapped to required external standards and formats, as needed. Cultural Lessons Learned: The cultural challenges have been more formidable than expected. They became most apparent during attempts to categorize and stage digital data objects across two institutions, each with their own naming conventions and practices, generally undocumented, and evolving across decades. Whether the questions concerned data ownership, collection techniques, data diversity or institutional practices, the solution involved a joint discussion with scientists, data managers, technicians and archivists, working together. Because metadata discussions go on endlessly, significant benefit comes from dictionaries with definitions of all community-authorized metadata values.
  • Article
    Pilot projects for publishing and citing ocean data
    (American Geophysical Union, 2012-10-23) Urban, Edward ; Leadbetter, Adam ; Moncoiffe, Gwenaelle ; Pissierssens, Peter ; Raymond, Lisa ; Pikula, Linda
    In the ocean sciences, a project was started in 2008 to bring together scientists, data managers, and library experts to explore means to (1) increase the submission of data to data centers, (2) make data more accessible for reuse, (3) link data more closely to traditional journal publications, and (4) create a system that gives more credit to data generators. This project is a joint effort among the Scientific Committee on Oceanic Research, the International Oceanographic Data and Information Exchange (IODE) of the United Nations Educational, Scientific and Cultural Organization’s Intergovernmental Oceanographic Commission, and the Marine Biological Laboratory Woods Hole Oceanographic Institution (MBLWHOI) Library.
  • Article
    2019 IODE Update: AIUs, ODISCat, OceanDocs
    ( 2020-01-17) Walton, Jennifer ; Sogaray, Aida ; Messaoudi, Saida ; Raymond, Lisa ; Simpson, Pauline
    This presentation gives an overview of current IODE projects that intersect with IAMSLIC interests. This includes an update on the Associated Data Units program for eligible Library and Information Centers.
  • Moving Image
    Collaborative research : EarthCube building blocks, leveraging semantics and linked data for geoscience data sharing and discovery, OceanLink
    ( 2013-10-28) Wiebe, Peter H. ; Chandler, Cynthia L. ; Raymond, Lisa ; Shepherd, Adam ; Finin, Tim ; Narock, Tom ; Arko, Robert A. ; Carbotte, Suzanne M. ; Hitzler, Pascal ; Cheatham, Michelle ; Krisnadhi, Adila
    The OceanLink EarthCube project will apply state-of-the-art Semantic Web Technologies to support data representation, discovery, analysis, sharing, and integration of datasets from the global oceans, and related resources including meeting abstracts and library holdings. Ships are a principal platform from which a wide spectrum of oceanographic data are collected. At the University of Maryland, Baltimore County, semantic relationships will be extracted from text for use in developing methods that efficiently identify relationships across distributed oceanographic datasets. At Wright State University integration of disparate data will occur by refining and applying leading edge technology from the Semantic Web, ontologies, and linked data. From the MBLWHOI Library, DSpace content will be published as Linked Open Data, providing relationships between oceanographic datasets, publications, conference presentations, and funded National Science Foundation projects. Teams of researchers at the Lamont-Doherty Earth Observatory and the Woods Hole Oceanographic Institution will develop Use Cases that represent the needs of the oceanographic research community and will publish oceanographic dataset catalogs as Linked Open Data. A key contribution will be semantically-enabled cyberinfrastructure components capable of automated data integration across distributed repositories. These efforts will ultimately lead to generalized computational techniques applicable to all of EarthCube.
  • Working Paper
    Report of the Research Coordination Network RCN : OceanObsNetwork, facilitating open exchange of data and information
    (NSF/Ocean Research Coordination Network, 2013-05) Gallagher, James ; Orcutt, John A. ; Pissierssens, Peter ; Raymond, Lisa ; Simpson, Pauline ; Pearlman, Jay ; Williams, Albert J. ; Simpson, Pauline
    The OceanObsNetwork goals and objectives are to foster a broad, multi-disciplinary dialogue, enabling more effective use of sustained ocean observatories and observing systems. To achieve these, the activities for the RCN include a working group titled “Facilitating Open Exchange of Data and Information.” Within this area 3 task teams were created dealing with elements that impact on open exchange of data and information. This report examines the foundation of Open Data and its importance to the international community, science, innovation and jobs. While the goal may be similar, the paths to Open Data are varied and drawing together a pervasive approach will take time. There are however, near term steps, technical and social, that could have significant impacts. Stimulating interdisciplinary collaboration occurs through adoption of common standards for data exchange, creation of information brokering for improved discovery and access and working toward common or defined vocabularies. Simply finding other scientists’ data has been noted as a major barrier for research. Open Data impinges on existing reward systems and social interactions. Areas that need to be addressed are the academic reward system (in terms of promotion and resources), the peer review panels and grant selection processes (in terms of acknowledging the importance and challenge of data collection) and the needs for acceptable citation mechanisms. Intellectual property should not be abandoned in an Open Data environment and managing IPR is necessary. A sustainable Open Data Policy is essential and sustainability is a matter for all parties, government, private sector, academia and non-profit organizations. As full implementation of Open Data will involve a change in practices in a number of research and publication activities, an end-to-end perspective and strategy would most likely allow a long-term sustainable path to be pursued. Various business models are discussed in the paper that would not have been considered a decade ago. These range from cloud storage to publication of data with Digital Object Identifiers. These set a possible foundation for the future.
  • Preprint
    Key components of data publishing : using current best practices to develop a reference model for data publishing
    ( 2015-12-04) Austin, Claire C ; Bloom, Theodora ; Dallmeier-Tiessen, Sunje ; Khodiyar, Varsha ; Murphy, Fiona ; Nurnberger, Amy ; Raymond, Lisa ; Stockhause, Martina ; Tedds, Jonathan ; Vardigan, Mary ; Whyte, Angus
    Availability of workflows for data publishing could have an enormous impact on researchers, research practices and publishing paradigms, as well as on funding strategies and career and research evaluations. We present the generic components of such workflows in order to provide a reference model for these stakeholders. Methods: The RDA-WDS Data Publishing Workflows group set out to study the current data publishing workflow landscape across disciplines and institutions. A diverse set of workflows were examined to identify common components and standard practices, including basic self-publishing services, institutional data repositories, long term projects, curated data repositories, and joint data journal and repository arrangements. Results: The results of this examination have been used to derive a data publishing reference model comprised of generic components. From an assessment of the current data publishing landscape, we highlight important gaps and challenges to consider, especially when dealing with more complex workflows and their integration into wider community frameworks. Conclusions: It is clear that the data publishing landscape is varied and dynamic, and that there are important gaps and challenges. The different components of a data publishing system need to work, to the greatest extent possible, in a seamless and integrated way. We therefore advocate the implementation of existing standards for repositories and all parts of the data publishing process, and the development of new standards where necessary. Effective and trustworthy data publishing should be embedded in documented workflows. As more research communities seek to publish the data associated with their research, they can build on one or more of the components identified in this reference model.
  • Other
    MBLWHOI Library Report January 1, 2021 – December 31, 2021
    (MBLWHOI Library, 2022-02-28) Raymond, Lisa ; Walton, Jennifer
  • Presentation
    Dataset to DOI using SWORD [poster]
    ( 2012-03-12) Devenish, Ann ; Chandler, Cynthia L. ; Dorsk, Alexander ; Raymond, Lisa ; Work, Tobias
    This poster describes the tools and processes by which datasets are deposited in an institutional repository (IR) and digital object identifiers (DOI) are acquired. The Marine Biological Laboratory/Woods Hole Oceanographic Institution (MBLWHOI) Library and the Biological and Chemical Oceanography Data Management Office (BCO-DMO) have developed tools and processes to automate the ingestion of datasets and metadata from BCO-DMO for deposit into the Woods Hole Open Access Server (WHOAS) institutional repository. The system also incorporates functionality for BCO-DMO to request a DOI from the Library and streamlines the process by which XML files are generated for DOI deposit with CrossRef, a DOI registration agency. This partnership allows the Library to work with a trusted data repository to ensure high quality data while the data repository utilizes library services and is assured of a permanent archive of the copy of the data extracted from the repository database. This research is being conducted by a team of librarians, data managers and scientists that are collaborating with representatives from the Scientific Committee on Oceanic Research (SCOR) and the International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission (IOC).
  • Other
    MBLWHOI Library Report January 1, 2019 – December 31, 2019
    (MBLWHOI Library, 2020-02-24) Raymond, Lisa ; Walton, Jennifer
  • Article
  • Presentation
    SCOR/IODE/MBLWHOI Library collaboration on data publication [poster] 
    ( 2011-05-25) Raymond, Lisa ; Pikula, Linda ; Lowry, Roy ; Urban, Edward ; Moncoiffe, Gwenaelle ; Pissierssens, Peter ; Norton, Cathy N.
    This poster describes the development of international standards to publish oceanographic datasets. Research areas include the assignment of persistent identifiers, tracking provenance, linking datasets to publications, attributing credit to data providers, and best practices for the physical composition and semantic description of the content.
  • Other
    MBLWHOI Library Report January 1, 2018 – December 31, 2018
    (MBLWHOI Library, 2019-04-16) Raymond, Lisa ; Walton, Jennifer
  • Presentation
    MBLWHOI Library’s institutional repository stewardship responsibility
    (Woods Hole Oceanographic Institution, 2020-12-03) Roth, Deborah J. ; Raymond, Lisa
    The MBLWHOI Library’s Institutional Repository (IR) is a CoreTrustSeal certified repository. We chose to go through this process to demonstrate our commitment to quality stewardship and to be a trusted option for our researchers facing funder and publisher requirements that data be accessible, and more recently, also citable with a DOI. The Library always recommends that researchers deposit data in an appropriate subject or community repository, but there are many cases where the dataset needing a DOI does not fit that scenario. The ability to quickly and easily deposit data in a certified repository is a value added service for our users. Some funders now mandate the data must be deposited in a FAIR repository. Being a CoreTrustSeal certified repository ensures that the MBLWHOI Library’s Institutional Repository practices FAIR principles. This lighting talk will show the steps we went through to become certified, some of the hurdles and benefits, as well our current status as an application reviewer. This process enabled us to review our internal process and procedures and re-examine any outdated practices. It shined a light on places we could improve our documentation and more clearly state our policies. The importance of demonstrating our commitment to quality and the Library’s continued efforts with the repository to remain on the forefront of technology with linked open data, schema.org, etc.
  • Article
    Using Linked Open Data and Semantic Integration to Search Across Repositories
    (IAMSLIC, 2015) Raymond, Lisa ; Mickle, Audrey ; GeoLink Project Group
    The MBLWHOI Library is a partner in the GeoLink project, an NSF EarthCube Building Block, applying semantic technologies to enable knowledge discovery, sharing and integration. GeoLink is testing ontology design patterns that link together the MBLWHOI Library Institutional Repository (IR) Woods Hole Open Access Server (WHOAS); data repositories, including Rolling Deck to Repository (R2R), Biological and Chemical Oceanography Data Management Office (BCO-DMO), Integrated Earth Data Applications (IEDA), Long-Term Ecological Research Network (LTER), DataONE and the International Ocean Discovery Program (IODP); the National Science Foundation (NSF) funded awards; and American Geophysical Union (AGU) conference presentations.
  • Presentation
    Data Science Training Camp at Woods Hole Oceanographic Institution: Syllabus and slide presentations in 2020
    (Woods Hole Oceanographic Institution, 2020-08-21) Beaulieu, Stace E. ; Raymond, Lisa ; Mickle, Audrey ; Futrelle, Joe ; Symmonds, Nick ; Mazzoli, Roberta ; Brey, Rich ; Kinkade, Danie ; Rauch, Shannon
    With data and software increasingly recognized as scholarly research products, and aiming towards open science and reproducibility, it is imperative for today's oceanographers to learn foundational practices and skills for data management and research computing, as well as practices specific to the ocean sciences. This educational package was developed as a data science training camp for graduate students and professionals in the ocean sciences and implemented at the Woods Hole Oceanographic Institution (WHOI) in 2019 and 2020. Here we provide materials for the 2020 camp which was delivered in-person during two afternoons (total of 8 hours), with two modules per afternoon. We aimed for ~40 participants per camp, with disciplines spanning Earth and life sciences and engineering. Disciplines at each table were mixed on the first afternoon but similar on the second afternoon. Contents of this package include the syllabus and slide presentations for each of the four modules: 1 "Good enough practices in scientific computing," 2 Data management, 3 Software development and research computing, and 4 Best practices in the ocean sciences. The 3rd module is split into two parts. We also include a poster presented at the 2020 Ocean Science Meeting, which has some results from pre- and post-surveys. Funding: The camp was funded by WHOI Academic Programs Office through a Doherty Chair in Education Award, with additional support from WHOI Ocean Informatics Working Group, WHOI Information Services, MBLWHOI Library, the NSF-funded Biological and Chemical Oceanography Data Management Office (BCO-DMO), and an NSF-funded XSEDE Jetstream Education Allocation TG-OCE190011. We also utilized resources from the NSF-funded Pangeo project.
  • Dataset
    GeoLink Triple Store Data
    ( 2018-01-31) Arko, Robert A. ; Carbotte, Suzanne M. ; Chandler, Cynthia ; Cheatham, Michelle ; Fils, Douglas ; Hitzler, Pascal ; Hu, Yingjie ; Janowicz, Kyzysztof ; Ji, Peng ; Jones, Matt ; Krisnadhi, Adila ; Lehnert, Kerstin A. ; Mecum, Bryce ; Mickle, Audrey ; Narock, Tom ; Raymond, Lisa ; Schildhauer, Mark ; Shepherd, Adam ; Wiebe, Peter H.
    A growing collection of standard protocols, formats, and vocabularies, often characterized as the Semantic Web, offers a powerful approach for publishing research data online. The GeoLink project brings together experts from the geosciences, computer science, and library science in an effort to develop Semantic Web components that support discovery and reuse of data and knowledge. GeoLink's participating repositories include content from field expeditions, laboratory analyses, journal publications, conference presentations, theses/reports, and funding awards that span scientific studies from marine geology to marine ecosystems and biogeochemistry to paleoclimatology. One of the outcomes of this project is a network of Linked Data published by participating repositories using those ODPs, and tools to facilitate discovery of related content in multiple repositories. This item will be versioned periodically as the data is re-harvested and processed. The live dataset is currently available for query at http://data.geolink.org/sparql. A demo data application is available at http://demo.geolink.org/.
  • Other
    MBLWHOI Library Report January 1, 2020 – December 31, 2020
    (MBLWHOI Library, 2021-03-25) Raymond, Lisa ; Walton, Jennifer
  • Preprint
    Facilitating open exchange of data and information
    ( 2014-09-22) Gallagher, James ; Orcutt, John A. ; Simpson, Pauline ; Wright, Dawn J. ; Pearlman, Jay ; Raymond, Lisa
    By broad consensus, Open Data presents great value. However, beyond that simple statement, there are a number of complex, and sometimes contentious, issues that the science community must address. In this review, we examine the current state of the core issues of Open Data with the unique perspective and use cases of the ocean science community: interoperability; discovery and access; quality and fitness for purpose; and sustainability. The topics of Governance and Data Publication are also examined in detail. Each of the areas covered are, by themselves, complex and the approaches to the issues under consideration are often at odds with each other. Any comprehensive policy on Open Data will require compromises that are best resolved by broad community input. In the final section of the review, we provide recommendations that serve as a starting point for these discussions.