2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Persistent Identification of Instruments

      , , , , , , ,
      Data Science Journal
      Ubiquity Press, Ltd.

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references5

          • Record: found
          • Abstract: not found
          • Article: not found

          ORCID: a system to uniquely identify researchers

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The Resource Identification Initiative: A cultural shift in publishing

            A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal ( www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The Scholix Framework for Interoperability in Data-Literature Information Exchange

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Data Science Journal
                Ubiquity Press, Ltd.
                1683-1470
                May 05 2020
                May 05 2020
                2020
                May 05 2020
                May 05 2020
                2020
                : 19
                Article
                10.5334/dsj-2020-018
                43996b31-aa19-4153-a09e-e6fb9e322f11
                © 2020
                History

                Comments

                Comment on this article
https://www.scienceopen.com/document?vid=43996b31-aa19-4153-a09e-e6fb9e322f11
www.scienceopen.com
CC-MAIN-2024-10
76243
application/http; msgtype=response
sha1:AVPNJWHYZAQCRPFS2OANXXWCPYO2K3TC
<urn:uuid:61190d98-232b-4212-ab39-8db1dcddf36c>
2024-03-04T18:46:17Z
72.22.165.35
text/html
sha1:X7OOPIGI7NZA7CBRGWYOGAERG65C6WMJ
<urn:uuid:7488c5dd-d66f-4229-9640-6ad13fd19024>
https://www.scienceopen.com/document?vid=43996b31-aa19-4153-a09e-e6fb9e322f11
response
<urn:uuid:38baeaf6-9905-4345-b22d-dbb6b432f4c0>
isPartOf: CC-MAIN-2024-10
publisher: Common Crawl
description: Wide crawl of the web for February/March 2024
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-229
software: Apache Nutch 1.19 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.5-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: https://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/