Browsing by Author "Wright, Sarah"

Now showing 1 - 8 of 8
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    CURATE(D) Fundamentals Workshop
    (Data Curation Network, 2024) Hudson Vitale, Cynthia; Hadley, Hannah; Wham, Briana; Borda, Susan; Carlson, Jake; Darragh, Jennifer; Fearon, David; Herndon, Joel; Hunt, Shanda; Johnston, Lisa R.; Kalt, Marley; Kozlowski, Wendy; Lafferty-Hess, Sophia; Marsolek, Wanda; Moore, Jennifer; Narlock, Mikala; Scott, Dorris; Wheeler, Jon; Woodbrook, Rachel; Wright, Sarah; Yee, Michelle; Lake, Sherry
    Slides developed for the CURATE(D) Fundamentals workshops. These materials only include the lecture slides and have removed associated exercises and institutional examples used in synchronous trainings. See the CURATE(D) modules [https://datacurationnetwork.github.io/CURATED/] for exercises to work through the CURATE(D) steps or contact the DCN to discuss partnering on a in-person workshop.
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    Data Curation Network End User Survey 2021
    (2021-09-28) Wright, Sarah; Johnston, Lisa; Marsolek, Wanda; Luong, Hoa; Braxton, Susan; Lafferty-Hess, Sophia; Herndon, Joel; Carlson, Jake; jw256@cornell.edu; Wright, Sarah; Data Curation Network
    This dataset includes the processed dataset from the 2021 End User Survey performed by the Data Curation Network.
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    DCN Workshop Application Rubric
    (2023) Wright, Sarah
    This rubric is used by the Data Curation Network to evaluate workshop applications. This was initially created by Sarah Wright, Cornell University.
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    FASTA/FASTQ Data Curation Primer
    (Data Curation Network, 2023) Bowman, Laura; Sheridan, Shannon; Wham, Briana Ezray; Wright, Sarah
    Background: FASTA and FASTQ are commonly used text-based file formats for storing and sharing nucleotide (DNA or RNA) sequences and/or amino acid (protein) sequences, and are the main focus of this primer. FASTA and FASTQ are the recognized standard file formats for bioinformatics studies, including next-generation sequencing (NGS), enabling large-scale exchange of data and information associated with massive sequencing projects (Sielemann et al., 2020). NGS refers to high-throughput technologies for large-scale DNA sequencing such as whole genome sequencing, whole-exome sequencing (WES, WXS), RNA-seq, miRNA-seq, ChIP-seq, and DNA Methylation. NGS experiments generate billions of short sequence reads for each sample which when combined with description and annotations can result in files ranging from a few to hundreds of gigabytes (Zhang, 2016). FASTA and FASTQ files can be opened by many sequence alignment applications or text editors. There are various applications that can convert .fasta files.
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    Researcher Approved: a Multi-institutional Survey of Depositors to Six Academic Data Repositories
    (2022) Wright, Sarah; Marsolek, Wanda; Luong, Hoa; Braxton, Susan; Lafferty-Hess, Sophia; Carlson, Jake
    The Data Curation Network (DCN) is a collaborative network of curators advancing open research by making data more ethical, reusable, and understandable. Institutional members participate in and learn from a community of expert data curators and curate data via a cross-institutional shared staffing model. This enables institutions to submit data sets to the network when they are outside of our local expertise or when local curators are busy or absent. The collaborative network model benefits our curators; however we questioned whether there is an impact on depositors. In order to evaluate end user satisfaction with data curation services, we surveyed recent depositors over the past year and a half, regardless of whether they received curation locally or from DCN curators. The result was overwhelmingly positive: we enjoyed a high response rate and consistently laudatory feedback including many free-text responses testifying to the value of curation. In times of tight budgets and constricting services, it is good to have researcher testimonials and survey data to indicate the added value of curatorial review to the data sharing process, and evidence that a collaborative network of data curators benefits us all.
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    Scientific Images Curation Curriculum
    (Data Curation Network, 2024) Gignac, Paul; Wright, Sarah; Kenney, Mariah; Schuler, Amy; Keshavarzian, Neggin
    A collection of materials used to instruct individuals how to curate scientific images. This is primarily targeted towards data stewards, but can be used by any and all when instructing on scientific image curation. Copies of files are also available in GitHub [https://github.com/DataCurationNetwork/curation-curriculum/tree/main/Specialized%20Data%20Types], which represent the dynamic versions of the curriculum that might be updated and revised as the curriculum is iterated upon.
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    Think Globally, Act Locally: The Importance of Elevating Data Repository Metadata to the Global Infrastructure
    (2022) Taylor, Shawna; Wright, Sarah; Narlock, Mikala R.; Habermann, Ted
    Inconsistent and incomplete applications of metadata standards and unsatisfactory approaches to connecting repository holdings across the global research infrastructure inhibit data discovery and reusability. The Realities of Academic Data Sharing (RADS) Initiative has found that institutions and researchers create and have access to the most complete metadata, but that valuable metadata found in these local institutional repositories (IRs) are not making their way into global data infrastructure such as DataCite or Crossref. This panel examines the local to global spectrum of metadata completeness, including the challenges of obtaining quality metadata at a local level, specifically at Cornell University, and the loss of metadata during the transfer processes from IRs into global data infrastructure. The metadata completeness increases over time, as users reuse data and contribute to the metadata. As metadata improves and grows, users find and develop connections within data not previously visible to them. By feeding local IR metadata into the global data infrastructure, the global infrastructure starts giving back in the form of these connections. We believe that this information will be helpful in coordinating metadata better and more effectively across data repositories and creating more robust interoperability and reusability between and among IRs.
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    Value of Curation Webinar Slides
    (Data Curation Network, 2024) Lafferty-Hess, Sophia; Luong, Hoa; Marsolek, Wanda; Wright, Sarah
    What is the impact of data curation? Do curated datasets have greater measurable value than non-curated datasets? How do researchers perceive the importance and value of the work performed by data curators? These are questions members of the Data Curation Network have been investigating. Through funding from the Alfred P. Sloan Foundation, we have been researching from different perspectives the value data curation provides. Members of the DCN conducted two surveys, one focusing on the repository managers and one on the researchers’ perspectives. The results overwhelmingly demonstrate what we felt all along: researchers value the work of data curators. This webinar dives into the collected data and invited active discussion.