60 Works

DataCite Metadata Schema for the Publication and Citation of Research Data v3.1

1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 3.1 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes

ORCID Annual Public Data File, 2013

Laura Paglione, Robert Peters, Catalina Oyler, Will Simpson, Angel Montenegro, José Francisco Ramírez Monge, Rebecca Bryant & Laurel Haak
One year after launching the ORCID Registry, we are excited to be releasing our first Public Data File. This file contains a snapshot of all public data in the ORCID Registry associated with an ORCID record that was created or claimed by an individual. We publish this file once per year under a Creative Commons CC0 1.0 Universal public domain dedication. This means that, to the extent possible under law, ORCID has waived all copyright...

DataCite Metadata Schema for the Publication and Citation of Research Data v2.2

1 Introduction 1.1 The DataCite Consortium 1.2 The Metadata Schema 1.3 A Note about DataCite DOI registration 1.4 Final Thoughts 1.5 Version 2.1 Update 1.6 Version 2.2 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Mandatory Properties 2.4 DataCite Optional Properties 3 XML Example 4 XML Schema Appendices

DataCite Blog

Patricia Cruse, Laura Rueda, Kristian Garza & Martin Fenner
DataCite staff writes about topics relevant to DataCite members and the wider data citation community.

Bolognese: a Ruby library for conversion of DOI Metadata

Martin Fenner
Ruby gem and command-line utility for conversion of DOI metadata from and to different metadata formats, including schema.org.

ORCID and DATACITE Interoperability Network (ODIN)

The British Library, , , , , Cornell Unversity & Duke Unversity
'Data as infrastructure' is a critical concept for a fully-integrated European Research Area (ERA) to drive innovation forward as envisaged by the Digital Agenda for Europe. The lack of data availability hinders this vision. In academic publishing, peer review and citation have long been recognised as mechanisms for endorsing the trustworthiness of research outputs and incentivizing researchers to contribute. Trustworthy research data will only be widely available if the same principles are applied. Key, participative,...

Technical and Human Infrastructure for Open Research (THOR)

Adam Farquhar, Amir Aryani, Josh Brown, Adrian Burton, Patricia Cruise, Sünje Dallmeier-Thiessen, Angela Dappert, Robn Dasler, Tom Demeranville, Michael Diepenbroek, Maike Duine, Martin Fenner, Kristian Garza, Paul Groth, Laurel Haak, Veronique Kiermer, Rachael Kotarski, Catriona MacCallum, Johanna McEntyre, Salvatore Mele, Guilherme Mello, Laura Rueda, Markus Stocker & Todd Vision
Five years ago, a global infrastructure to uniquely attribute to researchers their scientific artefacts (articles, data, software…) appeared technically and socially infeasible. Since then, DataCite has minted over 3.5m unique identifiers for data. ORCID has deployed an open solution for identification of contributors with over 850,000 registrants in less than 2 years. THOR will leverage these emerging global infrastructures to support the H2020 goal to make every researcher digital and increase creativity and efficiency of...

DataCite Metadata Schema Documentation for the Publication and Citation of Research Data v4.0

1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 4.0 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes

DataCite Blog

Patricia Cruse, Laura Rueda, Kristian Garza & Martin Fenner
DataCite staff writes about topics relevant to DataCite members and the wider data citation community.

FREYA PID Graph - Researcher Co-authors

Robert Petryszak, Martin Fenner, Simon Lambert, Manuel Bernal Llinares & Frances Madden
Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 7: As a data center, I want to see the citations of publications that use my repository for the underlying data, so that I can demonstrate the impact of our repository.

Frontend for the DataCite DOI Fabrica service

Martin Fenner
The web frontend for the DataCite DOI Fabrica service for managing DataCite providers, clients, prefixes and DOIs.

DataCite Metadata Schema Documentation for the Publication and Citation of Research Data v4.3

1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 4.32 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes Appendix 3: Standard values for unknown information Appendix 4: Version 4.1 Changes in support of software citation Appendix 5: FORCE11 Software Citation Principles Mapping

FREYA PID Graph for a specific researcher

Martin Fenner

FREYA PID Graph - Disambiguate researchers

Robert Petryszak, Martin Fenner, Simon Lambert, Manuel Bernal Llinares & Frances Madden
Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 6: As a researcher, I am looking for more information about another researcher with a common name, but don’t know his/her ORCID ID.

FREYA PID Graph - Datacenter Publication Citations

Robert Petryszak, Martin Fenner, Simon Lambert, Manuel Bernal Llinares & Frances Madden
Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 1: As a data center, I want to see the citations of publications that use my repository for the underlying data, so that I can demonstrate the impact of our repository.

FREYA PID Graph - Dissertations

Robert Petryszak, Martin Fenner, Simon Lambert, Manuel Bernal Llinares & Frances Madden
Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 5: As a student using the British Library's EThOS database, I want to be able to find all dissertations on a given topic.

FREYA PID Graph - Researcher Co-authors

Robert Petryszak, Martin Fenner, Simon Lambert, Manuel Bernal Llinares & Frances Madden
Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 9: As a bibliometrician, I want to know all the co-authors of a particular researcher, so that I can do a network analysis of the researcher's collaborations.

Technical Considerations for an Organization Identifier Registry

Martin Fenner, Laura Paglione, Tom Demeranville & Geoff Bilder
Organizational identifiers are needed to help solve the affiliation use case in scholarlycommunication, i.e., which research outputs are produced by researchers affiliated to aparticular institution. Organizations need to be involved in changes to the organization identifierand associated metadata, including splitting or merging of organizations, and information aboutsub-organizations. Organizational identifiers must follow established best practices forpersistent identifiers, including the linking to other organization identifiers and other resources inthe metadata. This paper was prepared jointly by Crossref,...

ORCID Annual Public Data File, 2014

Laura Paglione, Robert Peters, Catalina Oyler, Will Simpson, Angel Montenegro, José Francisco Ramírez Monge, Elizabeth Krznarich, Josh Brown & Laurel Haak
Two years after launching the ORCID Registry, we are excited to be releasing our second Public Data File. This file contains a snapshot of all public data in the ORCID Registry associated with an ORCID record that was created or claimed by an individual, over 900,000 records. ORCID publishes this file once per year under a Creative Commons CC0 1.0 Universal public domain dedication. This means that, to the extent possible under law, ORCID has...

Content-Negotation: an API for DOI content negotiation

Martin Fenner
An API for DOI content negotiation. Also available as Docker container.

TREND: | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-007Bureau of Labor Statistics. Current Employment Statistics: Diffusion Indexes - 3-Month Span | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-008Bureau of Labor Statistics. Current Employment Statistics: Diffusion Indexes - 6-Month Span | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-009Bureau of Labor Statistics. Current Employment Statistics: Diffusion Indexes - 12-Month Span | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-010Bureau of Labor Statistics. Current Employment Statistics: All Employees - Quarterly Averages | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-011Bureau of Labor Statistics. Current Employment Statistics: Avg Weekly Earnings of Production Workers | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-012Bureau of Labor Statistics. Current Employment Statistics: Avg Weekly Earnings - 1982 Dollars | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-013Bureau of Labor Statistics. Current Employment Statistics: Avg Hourly Earnings - 1982 Dollars | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-014Bureau of Labor Statistics. Current Employment Statistics: Avg Hourly Earnings Excluding Overtime | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-015Bureau of Labor Statistics. Current Employment Statistics: Indexes of Aggregate Weekly Hours 2002=100 | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-016Bureau of Labor Statistics. Current Employment Statistics: Indexes of Aggregate Weekly Payroll 2002=100 | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-017Bureau of Labor Statistics. Current Employment Statistics: Avg Weekly Hours - Quarterly Averages | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-018Bureau of Labor Statistics. Current Employment Statistics: Avg Weekly Overtime Hours - Quarterly Averages | Super Labor Sector: Total nonfarm | NAICS Code*: N/A | Seasonally Adjusted: Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-021-019

Bureau of Labor Statistics. Employment and Unemployment - Seasonally Adjusted: Unemployment Rate - Seasonally Adjusted, 01/1913 - 02/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-001-001 Subject: Industry, Work Hours, Manufacturing Industry, Economic Cycles Source: Bureau of Labor Statistics The Bureau of Labor Statistics (BLS) of the United States Department of Labor is the principal fact-finding agency for the federal government in the broad field of labor economics and statistics. The BLS is an...

Registration Year

  • 2021
    3
  • 2020
    15
  • 2019
    7
  • 2018
    4
  • 2017
    9
  • 2016
    9
  • 2014
    3
  • 2013
    3
  • 2012
    1
  • 2011
    6

Resource Types

  • Text
    24
  • Software
    21
  • Collection
    4
  • Dataset
    3
  • Report
    3
  • Event
    2
  • Computational Notebook
    1
  • Model
    1
  • Other
    1

Affiliations

  • DataCite
    13
  • British Library
    12
  • European Bioinformatics Institute
    7
  • Science and Technology Facilities Council
    7
  • Columbia University
    5
  • Delft University of Technology
    5
  • Spanish National Research Council
    5
  • Institut de l'Information Scientifique et Technique
    5
  • United States Geological Survey
    5
  • University of Maryland, College Park
    5