Kinkade Danie

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Kinkade

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Danie

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0000-0002-1134-7347

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What role should a domain-specific repository play in treating code as a first class research product? [poster]

( 2018-12-13) Biddle, Matt ; Ake, Hannah ; Copley, Nancy ; Kinkade, Danie ; Rauch, Shannon ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter ; York, Amber

The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and Antarctic Organisms & Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archiving with appropriate national facilities. Recently, more and more of the projects submitted to BCO-DMO represent modeling efforts which further increase our knowledge of the chemical and biological properties within the ocean ecosystem. But, as a repository traditionally focused on observational data as a primary research output, what roles should domain-specific data repositories play in this field? Recognizing code as a first class research product, how should repositories support the discovery, access and reuse of code and software used in hypothesis driven research? We feel the time is at hand for the community to begin a concerted and holistic approach to the curation of code and software. Such strategy development should begin with asking what is the appropriate output to curate? What is the minimum metadata required for re-use? How should code be stored and accessed? Should repositories support or facilitate peer reviewing code? The answers to these questions will better inform domain-specific repositories on how to better manage code as a first class research asset in order to support the scientific community. This presentation will explore these topics, inviting discussion from the audience to advance a collective strategy.
Share Your Thoughts [poster]

(Woods Hole Oceanographic Institution, 2020-02-21) Haskins, Christina ; Biddle, Matt ; Copley, Nancy J. ; Rauch, Shannon ; Soenen, Karen ; York, Amber ; Kinkade, Danie ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter

Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO, and presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input can help BCO-DMO improve its service to the research community.
The Biological and Chemical Oceanography Data Management Office: Accelerating Scientific Discovery Through Responsive Management of Observational Oceanographic Data [poster]

(Woods Hole Oceanographic Institution, 2019-09-16) Kinkade, Danie ; Shepherd, Adam ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Soenen, Karen ; Rauch, Shannon ; York, Amber ; Saito, Mak A. ; Wiebe, Peter

Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO.
Capturing Provenance of Data Curation at BCO-DMO

(Woods Hole Oceanographic Institution, 2020-05-15) Shepherd, Adam ; York, Amber ; Schloer, Conrad ; Kinkade, Danie ; Rauch, Shannon ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Soenen, Karen ; Saito, Mak A. ; Wiebe, Peter

At domain-specific data repositories, curation that strives for FAIR principles often entails transforming data submissions to improve understanding and reuse. The Biological and Chemical Oceanography Data Management Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easer for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
Capturing Provenance of Data Curation at BCO-DMO

(Woods Hole Oceanographic Institution, 2020-11-09) Shepherd, Adam ; York, Amber ; Schloer, Conrad ; Kinkade, Danie ; Rauch, Shannon ; Copley, Nancy ; Gerlach, Dana ; Haskins, Christina ; Soenen, Karen ; Saito, Mak A. ; Wiebe, Peter

At domain-specific data repositories, curation that strives for FAIR principles often entails transforming data submissions to improve understanding and reuse. The Biological and Chemical Oceanography Data Management Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easier for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
Biological & Chemical Oceanography Data Management Office : a domain-specific repository for oceanographic data from around the world [poster]

( 2018-02-14) Ake, Hannah ; Biddle, Matt ; Copley, Nancy ; Kinkade, Danie ; Rauch, Shannon ; Saito, Mak A. ; Shepherd, Adam ; Switzer, Megan ; Wiebe, Peter ; York, Amber

The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a domain-specific digital data repository that works with investigators funded under the National Science Foundation’s Division of Ocean Sciences and Office of Polar Programs to manage their data free of charge. Data managers work closely with investigators to satisfy their data sharing requirements and to develop comprehensive Data Management Plans, as well as to ensure that their data will be well described with extensive metadata creation. Additionally, BCO-DMO offers tools to find and reuse these high-quality data and metadata packages, and services such as DOI generation for publication and attribution. These resources are free for all to discover, access, and utilize. As a repository embedded in our research community, BCO-DMO is well positioned to offer knowledge and expertise from both domain trained data managers and the scientific community at large. BCO-DMO is currently home to more than 9000 datasets and 900 projects, all of which are or will be submitted for archive at the National Centers for Environmental Information (NCEI). Our data holdings continue to grow, and encompass a wide range of oceanographic research areas, including biological, chemical, physical, and ecological. These data represent cruises and experiments from around the world, and are managed using community best practices, standards, and technologies to ensure accuracy and promote re-use. BCO-DMO is a repository and tool for investigators, offering both ocean science data and resources for data dissemination and publication.
BCO-DMO Quick Guide

( 2018-09-19) Kinkade, Danie ; Shepherd, Adam ; Ake, Hannah ; Biddle, Matt ; Copley, Nancy ; Rauch, Shannon ; York, Amber

Curating and providing open access to research data is a collaborative process. This process may be thought of as a life cycle with data passing through various phases. Each phase has its own associated actors, roles, and critical activities. Good data management practices are necessary for all phases, from proposal to preservation.
Making OCB Data F.A.I.R [poster]

( 2019-06-24) Soenen, Karen ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Rauch, Shannon ; York, Amber ; Kinkade, Danie ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter

Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine ecosystem data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. This poster describes some of the existing infrastructure and strategic enhancements at BCO-DMO in support of the F.A.I.R principles.
Community feedback collected between June 2019 and February 2020 on how researchers search and access new data for research as well as feedback on potential enhancements to help improve BCO-DMO’s service to the research community.

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2020-10-06) Haskins, Christina ; Soenen, Karen ; Biddle, Mathew ; Copley, Nancy ; Rauch, Shannon ; York, Amber D. ; Kinkade, Danie ; Shepherd, Adam ; Saito, Mak A. ; Wiebe, Peter H.

Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO, and presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input can help BCO-DMO improve its service to the research community. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/825238
The Frictionless Data Package : data containerization for addressing big data challenges [poster]

( 2018-02-15) Shepherd, Adam ; Fils, Douglas ; Kinkade, Danie ; Saito, Mak A.

At the Biological and Chemical Oceanography Data Management Office (BCO-DMO) Big Data challenges have been steadily increasing. The sizes of data submissions have grown as instrumentation improves. Complex data types can sometimes be stored across different repositories . This signals a paradigm shift where data and information that is meant to be tightly-coupled and has traditionally been stored under the same roof is now distributed across repositories and data stores. For domain-specific repositories like BCO-DMO, a new mechanism for assembling data, metadata and supporting documentation is needed. Traditionally, data repositories have relied on a human's involvement throughout discovery and access workflows. This human could assess fitness for purpose by reading loosely coupled, unstructured information from web pages and documentation. Distributed storage was something that could be communicated in text that a human could read and understand. However, as machines play larger roles in the process of discovery and access of data, distributed resources must be described and packaged in ways that fit into machine automated workflows of discovery and access for assessing fitness for purpose by the end-user. Once machines have recommended a data resource as relevant to an investigator's needs, the data should be easy to integrate into that investigator's toolkits for analysis and visualization. BCO-DMO is exploring the idea of data containerization, or packaging data and related information for easier transport, interpretation, and use. Data containerization reduces not only the friction data repositories experience trying to describe complex data resources, but also for end-users trying to access data with their own toolkits. In researching the landscape of data containerization, the Frictionlessdata Data Package (http://frictionlessdata.io/) provides a number of valuable advantages over similar solutions. This presentation will focus on these advantages and how the Frictionlessdata Data Package addresses a number of real-world use cases faced for data discovery, access, analysis and visualization in the age of Big Data.
BCO-DMO: Surfing the Crests and Troughs of Data Sharing

(Woods Hole Oceanographic Institution, 2022-03-02) Kinkade, Danie

Many of the challenges currently associated with sharing oceanographic data currently facing researchers and the repositories through which they share their data, are cultural rather than technical. This talk presents an overview of obstacles and opportunities related to data sharing within the oceanographic community.
Biological and Chemical Oceanography Data Management Office: Supporting a New Vision for Adaptive Management of Oceanographic Data [poster]

(Woods Hole Oceanographic Institution, 2022-06-21) Shepherd, Adam ; Gerlach, Dana ; Heyl, Taylor ; Kinkade, Danie ; Nagala, Shravani ; Newman, Sawyer ; Rauch, Shannon ; Saito, Mak A. ; Schloer, Conrad ; Soenen, Karen ; Wiebe, Peter ; York, Amber

An unparalleled data catalog of well-documented, interoperable oceanographic data and information, openly accessible to all end-users through an intuitive web-based interface for the purposes of advancing marine research, education, and policy. Conference Website: https://web.whoi.edu/ocb-workshop/
The advantages of machine aided co-reference resolution for research cruise metadata

( 2017-05-31) Shepherd, Adam ; Chandler, Cynthia L. ; Arko, Robert A. ; Fils, Douglas ; Kinkade, Danie

One of the central incentives of deploying linked open data is the opportunity to leverage the linkages between source datasets to retrieve related information. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) reaps these benefits by linking its cruise-level metadata to the Rolling Deck to Repository (R2R) – the trusted, authoritative source for cruises undertaken by the U.S. academic research fleet. Even though the process of identifying a link between these two repositories is easy for a human, this talk will explore the advantages of using a machine-aided process to suggest links to R2R cruises to a BCO-DMO data manager.
SeaView : bringing together an ocean of data

(The Oceanography Society, 2018-02-09) Stocks, Karen ; Diggs, Stephen ; Olson, Christopher ; Pham, Anh ; Arko, Robert A. ; Shepherd, Adam ; Kinkade, Danie

The Ocean Observatories Initiative (OOI) supports a comprehensive information management system for data collected by OOI assets, providing access to a wealth of new information for scientists. But what of those wishing to access data from the region of an OOI research array that is not from OOI assets, perhaps to look at longer term trends from before the launch of OOI, or to build a larger regional context? Despite the excellent work of ocean data repositories, finding, accessing, understanding, and reformatting data for use in a desired visualization or analysis tool remains challenging, especially when data are held in multiple repositories.
End-User Workshop Report: Articulating the Cyberinfrastructure Needs of the Ocean Ecosystem Dynamics Community

( 2013-12-10) Kinkade, Danie ; Chandler, Cynthia L. ; Glover, David M. ; Groman, Robert C. ; Kline, David ; Nahorniak, Jasmine ; O'Brien, Todd D. ; Perry, Mary J. ; Pierson, James J. ; Wiebe, Peter

An EarthCube Water Column Domain End-User Workshop hosted by the Biological and Chemical Oceanographic Data Management Office (BCO-DMO) was held October 7-8, 2013 at Woods Hole Oceanographic Institution. The goal of the workshop was to articulate cyberinfrastructure needs of the ocean ecosystem dynamics community with particular focus on the challenges presented by multi-disciplinary marine ecosystem research that requires investigations in four dimensions. The workshop included 50 participants in the domain of oceanic ecosystem dynamics (established and early career researchers, teaching faculty, graduate students, postdocs, data and information managers and cyber-related researchers) to explore and document the community’s cyberinfrastructure needs from the users’ viewpoint.
Data Help Desk BCO-DMO Lightning Talk

(Woods Hole Oceanographic Institution, 2020-02-18) Biddle, Matt ; Shepherd, Adam ; Kinkade, Danie ; Haskins, Christina ; Soenen, Karen ; Rauch, Shannon ; Copley, Nancy ; York, Amber ; Schloer, Conrad ; Saito, Mak A. ; Wiebe, Peter

BCO-DMO is the Biological and Chemical Oceanography Data Management Office. We help oceanography researchers who are funded by the National Science Foundation’s (NSF's) Division of Ocean Sciences' (OCE) Biological or Chemical Oceanography Sections or the Division of Polar Programs' Antarctic Organisms & Ecosystems Program manage their data, making them accessible over the internet. This lightning talk gives a brief overview of who we are, who we work with, and the types of data we manage.
Sharing Data Through the Biological and Chemical Oceanography Data Management Office [talk]

(Woods Hole Oceanographic Institution, 2020-01-15) Kinkade, Danie

This talk provides an overview of the Biological and Chemical Oceanography Data Management Office and the collaborative data sharing process that occurs between individual investigators and the BCO-DMO repository. The presentation includes background on the repository, what to expect after submitting your data, and helpful data management practices that can streamline data sharing and support open science.
The Frictionless Data Package : data containerization for automated scientific workflows [poster]

( 2017-12-13) Shepherd, Adam ; Fils, Douglas ; Kinkade, Danie ; Saito, Mak A.

As cross-disciplinary geoscience research increasingly relies on machines to discover and access data, one of the critical questions facing data repositories is how data and supporting materials should be packaged for consumption. Traditionally, data repositories have relied on a human's involvement throughout discovery and access workflows. This human could assess fitness for purpose by reading loosely coupled, unstructured information from web pages and documentation. In attempts to shorten the time to science and access data resources across may disciplines, expectations for machines to mediate the process of discovery and access is challenging data repository infrastructure. This challenge is to find ways to deliver data and information in ways that enable machines to make better decisions by enabling them to understand the data and metadata of many data types. Additionally, once machines have recommended a data resource as relevant to an investigator's needs, the data resource should be easy to integrate into that investigator's toolkits for analysis and visualization. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) supports NSF-funded OCE and PLR investigators with their project's data management needs. These needs involve a number of varying data types some of which require multiple files with differing formats. Presently, BCO-DMO has described these data types and the important relationships between the type's data files through human-readable documentation on web pages. For machines directly accessing data files from BCO-DMO, this documentation could be overlooked and lead to misinterpreting the data. Instead, BCO-DMO is exploring the idea of data containerization, or packaging data and related information for easier transport, interpretation, and use. In researching the landscape of data containerization, the Frictionlessdata Data Package (http://frictionlessdata.io/) provides a number of valuable advantages over similar solutions. This presentation will focus on these advantages and how the Frictionlessdata Data Package addresses a number of real-world use cases faced for data discovery, access, analysis and visualization.
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.
Share Your Thoughts [poster]

(Woods Hole Oceanographic Institution, 2019-06-24) Soenen, Karen ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Rauch, Shannon ; York, Amber ; Kinkade, Danie ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter

Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine ecosystem data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input will help BCO-DMO improve its service to the research community.

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