Academic Journal
View in EDS

Achieving human and machine accessibility of cited data in scholarly publications

Bibliographic Details
Title: Achieving human and machine accessibility of cited data in scholarly publications
Authors: Joan Starr, Eleni Castro, Mercè Crosas, Michel Dumontier, Robert R. Downs, Ruth Duerr, Laurel L. Haak, Melissa Haendel, Ivan Herman, Simon Hodson, Joe Hourclé, John Ernest Kratz, Jennifer Lin, Lars Holm Nielsen, Amy Nurnberger, Stefan Proell, Andreas Rauber, Simone Sacchi, Arthur Smith, Mike Taylor, Tim Clark
Source: PeerJ Computer Science, Vol 1, p e1 (2015)
Publisher Information: PeerJ Inc., 2015.
Publication Year: 2015
Collection: LCC:Electronic computers. Computer science
Subject Terms: Data citation, Machine accessibility, Data archiving, Data accessibility, Electronic computers. Computer science, QA75.5-76.95
More Details: Reproducibility and reusability of research results is an important concern in scientific communication and science policy. A foundational element of reproducibility and reusability is the open and persistently available presentation of research data. However, many common approaches for primary data publication in use today do not achieve sufficient long-term robustness, openness, accessibility or uniformity. Nor do they permit comprehensive exploitation by modern Web technologies. This has led to several authoritative studies recommending uniform direct citation of data archived in persistent repositories. Data are to be considered as first-class scholarly objects, and treated similarly in many ways to cited and archived scientific and scholarly literature. Here we briefly review the most current and widely agreed set of principle-based recommendations for scholarly data citation, the Joint Declaration of Data Citation Principles (JDDCP). We then present a framework for operationalizing the JDDCP; and a set of initial recommendations on identifier schemes, identifier resolution behavior, required metadata elements, and best practices for realizing programmatic machine actionability of cited data. The main target audience for the common implementation guidelines in this article consists of publishers, scholarly organizations, and persistent data repositories, including technical staff members in these organizations. But ordinary researchers can also benefit from these recommendations. The guidance provided here is intended to help achieve widespread, uniform human and machine accessibility of deposited data, in support of significantly improved verification, validation, reproducibility and re-use of scholarly/scientific data.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2376-5992
Relation: https://peerj.com/articles/cs-1.pdf; https://peerj.com/articles/cs-1/; https://doaj.org/toc/2376-5992
DOI: 10.7717/peerj-cs.1
Access URL: https://doaj.org/article/cccb9a6fed394c4cbbc45a9cac4ea7b3
Accession Number: edsdoj.b9a6fed394c4cbbc45a9cac4ea7b3
Database: Directory of Open Access Journals
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edsdoj&genre=article&issn=23765992&ISBN=&volume=1&issue=&date=20150501&spage=e1&pages=&title=PeerJ Computer Science&atitle=Achieving%20human%20and%20machine%20accessibility%20of%20cited%20data%20in%20scholarly%20publications&aulast=Joan%20Starr&id=DOI:10.7717/peerj-cs.1
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
  – Url: https://doaj.org/article/cccb9a6fed394c4cbbc45a9cac4ea7b3
    Name: EDS - DOAJ (s8985755)
    Category: fullText
    Text: View record from DOAJ
    MouseOverText: View record from DOAJ
Header DbId: edsdoj
DbLabel: Directory of Open Access Journals
An: edsdoj.b9a6fed394c4cbbc45a9cac4ea7b3
RelevancyScore: 862
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 862.20068359375
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Achieving human and machine accessibility of cited data in scholarly publications
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Joan+Starr%22">Joan Starr</searchLink><br /><searchLink fieldCode="AR" term="%22Eleni+Castro%22">Eleni Castro</searchLink><br /><searchLink fieldCode="AR" term="%22Mercè+Crosas%22">Mercè Crosas</searchLink><br /><searchLink fieldCode="AR" term="%22Michel+Dumontier%22">Michel Dumontier</searchLink><br /><searchLink fieldCode="AR" term="%22Robert+R%2E+Downs%22">Robert R. Downs</searchLink><br /><searchLink fieldCode="AR" term="%22Ruth+Duerr%22">Ruth Duerr</searchLink><br /><searchLink fieldCode="AR" term="%22Laurel+L%2E+Haak%22">Laurel L. Haak</searchLink><br /><searchLink fieldCode="AR" term="%22Melissa+Haendel%22">Melissa Haendel</searchLink><br /><searchLink fieldCode="AR" term="%22Ivan+Herman%22">Ivan Herman</searchLink><br /><searchLink fieldCode="AR" term="%22Simon+Hodson%22">Simon Hodson</searchLink><br /><searchLink fieldCode="AR" term="%22Joe+Hourclé%22">Joe Hourclé</searchLink><br /><searchLink fieldCode="AR" term="%22John+Ernest+Kratz%22">John Ernest Kratz</searchLink><br /><searchLink fieldCode="AR" term="%22Jennifer+Lin%22">Jennifer Lin</searchLink><br /><searchLink fieldCode="AR" term="%22Lars+Holm+Nielsen%22">Lars Holm Nielsen</searchLink><br /><searchLink fieldCode="AR" term="%22Amy+Nurnberger%22">Amy Nurnberger</searchLink><br /><searchLink fieldCode="AR" term="%22Stefan+Proell%22">Stefan Proell</searchLink><br /><searchLink fieldCode="AR" term="%22Andreas+Rauber%22">Andreas Rauber</searchLink><br /><searchLink fieldCode="AR" term="%22Simone+Sacchi%22">Simone Sacchi</searchLink><br /><searchLink fieldCode="AR" term="%22Arthur+Smith%22">Arthur Smith</searchLink><br /><searchLink fieldCode="AR" term="%22Mike+Taylor%22">Mike Taylor</searchLink><br /><searchLink fieldCode="AR" term="%22Tim+Clark%22">Tim Clark</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: PeerJ Computer Science, Vol 1, p e1 (2015)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: PeerJ Inc., 2015.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2015
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: LCC:Electronic computers. Computer science
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Data+citation%22">Data citation</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+accessibility%22">Machine accessibility</searchLink><br /><searchLink fieldCode="DE" term="%22Data+archiving%22">Data archiving</searchLink><br /><searchLink fieldCode="DE" term="%22Data+accessibility%22">Data accessibility</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+computers%2E+Computer+science%22">Electronic computers. Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22QA75%2E5-76%2E95%22">QA75.5-76.95</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Reproducibility and reusability of research results is an important concern in scientific communication and science policy. A foundational element of reproducibility and reusability is the open and persistently available presentation of research data. However, many common approaches for primary data publication in use today do not achieve sufficient long-term robustness, openness, accessibility or uniformity. Nor do they permit comprehensive exploitation by modern Web technologies. This has led to several authoritative studies recommending uniform direct citation of data archived in persistent repositories. Data are to be considered as first-class scholarly objects, and treated similarly in many ways to cited and archived scientific and scholarly literature. Here we briefly review the most current and widely agreed set of principle-based recommendations for scholarly data citation, the Joint Declaration of Data Citation Principles (JDDCP). We then present a framework for operationalizing the JDDCP; and a set of initial recommendations on identifier schemes, identifier resolution behavior, required metadata elements, and best practices for realizing programmatic machine actionability of cited data. The main target audience for the common implementation guidelines in this article consists of publishers, scholarly organizations, and persistent data repositories, including technical staff members in these organizations. But ordinary researchers can also benefit from these recommendations. The guidance provided here is intended to help achieve widespread, uniform human and machine accessibility of deposited data, in support of significantly improved verification, validation, reproducibility and re-use of scholarly/scientific data.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: electronic resource
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2376-5992
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://peerj.com/articles/cs-1.pdf; https://peerj.com/articles/cs-1/; https://doaj.org/toc/2376-5992
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.7717/peerj-cs.1
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://doaj.org/article/cccb9a6fed394c4cbbc45a9cac4ea7b3" linkWindow="_blank">https://doaj.org/article/cccb9a6fed394c4cbbc45a9cac4ea7b3</link>
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsdoj.b9a6fed394c4cbbc45a9cac4ea7b3
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsdoj&AN=edsdoj.b9a6fed394c4cbbc45a9cac4ea7b3
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.7717/peerj-cs.1
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e1
    Subjects:
      – SubjectFull: Data citation
        Type: general
      – SubjectFull: Machine accessibility
        Type: general
      – SubjectFull: Data archiving
        Type: general
      – SubjectFull: Data accessibility
        Type: general
      – SubjectFull: Electronic computers. Computer science
        Type: general
      – SubjectFull: QA75.5-76.95
        Type: general
    Titles:
      – TitleFull: Achieving human and machine accessibility of cited data in scholarly publications
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Joan Starr
      – PersonEntity:
          Name:
            NameFull: Eleni Castro
      – PersonEntity:
          Name:
            NameFull: Mercè Crosas
      – PersonEntity:
          Name:
            NameFull: Michel Dumontier
      – PersonEntity:
          Name:
            NameFull: Robert R. Downs
      – PersonEntity:
          Name:
            NameFull: Ruth Duerr
      – PersonEntity:
          Name:
            NameFull: Laurel L. Haak
      – PersonEntity:
          Name:
            NameFull: Melissa Haendel
      – PersonEntity:
          Name:
            NameFull: Ivan Herman
      – PersonEntity:
          Name:
            NameFull: Simon Hodson
      – PersonEntity:
          Name:
            NameFull: Joe Hourclé
      – PersonEntity:
          Name:
            NameFull: John Ernest Kratz
      – PersonEntity:
          Name:
            NameFull: Jennifer Lin
      – PersonEntity:
          Name:
            NameFull: Lars Holm Nielsen
      – PersonEntity:
          Name:
            NameFull: Amy Nurnberger
      – PersonEntity:
          Name:
            NameFull: Stefan Proell
      – PersonEntity:
          Name:
            NameFull: Andreas Rauber
      – PersonEntity:
          Name:
            NameFull: Simone Sacchi
      – PersonEntity:
          Name:
            NameFull: Arthur Smith
      – PersonEntity:
          Name:
            NameFull: Mike Taylor
      – PersonEntity:
          Name:
            NameFull: Tim Clark
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 23765992
          Numbering:
            – Type: volume
              Value: 1
          Titles:
            – TitleFull: PeerJ Computer Science
              Type: main
ResultId 1