1,720,997 research outputs found
Standardizing data at collection, Agronomy Breakout Session 1, PhenoHarnomIS May 14, 2018
No full textCG Core Metadata Schema and Application Profile - Beta Version 1.0
No full textThis document is designed to present and offer guidance for using CG Core, the set of metadata elements used by CGIAR Research Center and CRP repositories, in order to facilitate cross-repository searching and enhance discovery of CGIAR information products through Open Access
An Introduction to NCBI's Bioinformatics Resources
Get PDFContributing institutions: Cornell University; Albert R. Mann LibraryThis workshop provides an introduction to National Center for Biotechnology Information (NCBI) databases commonly used by life scientists. The workshop is specifically designed for those with no or little knowledge of bioinformatics, and begins with a brief tutorial on molecular biology fundamentals and the basic theory behind DNA and protein sequencing. We will then move on to the effective use of NCBI's bibliographic, nucleotide, protein, gene, and genome databases, the Basic Local Alignment Search Tool (BLAST), and /Cn3D/, NCBI's 3-D visualization tool for proteins
Harmonizing data collection for maximum interoperability
No full textFAIR Data Princples, AgroFIMS, GARDIAN, Ontologie
Open Access and Open Data at CGIAR: Challenges and Solutions
No full textCGIAR is a global research partnership of 15 geographically and scientifically diverse
Centers dedicated to reducing poverty, enhancing food and nutrition security, and
improving natural resource management. The Centers are charged with accelerating
innovation to tackle challenges at a variety of scales from the local to the global. This
requires data to be findable, accessible, interoperable, and reusable (FAIR) and interlinked where relevant. CGIAR Centers have made strong progress in implementing
publication and data repositories; however, many of these still represent silos whose
contents are not generally easily discoverable or inter-linked (e.g., agronomic trial data
with socioeconomic or adoption data in the same geographies). In the absence of such
interoperability-mediated discovery, “open” is of limited utility. The overall goal is for
CGIAR’s trove of research data and associated information to be indexed and
interlinked through a demand-driven cyberinfrastructure for agriculture, ensuring that
research outputs are discoverable by humans and machines, and reusable via
appropriate licensing to enhance innovation, uptake and impact. There are challenges
to achieving this goal, not only across CGIAR, but for the agricultural domain in
general. Among the foremost hurdles is that “open” tends to remain an unfunded
mandate, making it difficult to operationalize effectively. Further, there is still
significant concern on the part of scientists about making data open – largely centered
around issues of trust, time, and quality – resulting in repositories frequently exposing
metadata rather than the data sets themselves. While the ability to find metadata about
resources qualifies as improvement, it continues to impose barriers to data access,
discoverability, integration, and analysis, without which complex challenges to global
agriculture development cannot be effectively addressed. CGIAR is addressing the
urgent need to create a data sharing culture and enabling environment for Open Access and Open Data (OA/OD) that includes projects planning for OA/OD and allocating
funds to support it, in parallel with the technical infrastructure mentioned above.
While the technology necessary to enable FAIR outputs exists, achieving success
implies data provider and consumer trust and buy-in, agreement and adherence to
interoperability standards and/or mapping across varied approaches, and compliance
with guidelines (including those on citation and licensing governing content reuse)
DataScribe: user manual
No full textBuild surveys and data collection forms in ODK format with data variables that comply with community standards for data that is Findable, Accessible, Interoperable and Reusable (FAIR) from the collection point
DataScribe—Enabling collection of Findable, Accessible, Interoperable, Reusable survey data
No full textBeyond Reference: New Models for Librarian Involvement in Scientific Research
Get PDFContributing institutions: Cornell University; Albert R. Mann LibraryScience librarians today increasingly serve users whose research is highly dependent on sophisticated information technology. Providing good service to such users not only involves knowledge of a wide variety of technologies and information tools, but also an understanding of the research process itself. Consequently, libraries are increasingly hiring librarians with expertise in the broad subject areas of their stakeholder communities. In addition to providing reference and consultation services, science librarians' responsibilities may potentially include specialized instruction, non-traditional outreach, and work on special projects to facilitate the research process. The participants on this panel briefly described their varied responsibilities and non-traditional roles, and invited discussion on the topic of librarian involvement in scientific research
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