18 Works

Turning Fair Data Into Reality: Interim Report From The European Commission Expert Group On Fair Data

Simon Hodson, Sarah Jones, Sandra Collins, Françoise Genova, Natalie Harrower, Leif Laaksonen, Daniel Mietchen, Rūta Petrauskaité & Peter Wittenburg
Interim report of the European Commission Expert Group on Turning FAIR Data into reality. The Group has a remit to provide recommendations, indicators and input on the financing of activities required to turn FAIR data into reality at an EU, Member State and international level. A FAIR Data Action Plan has also been proposed. See https://doi.org/10.5281/zenodo.1285290 The interim report will be formally released at the EOSC Summit on 11 June 2018 in Brussels, where a workshop will be...

Turning Fair Data Into Reality: Interim Report From The European Commission Expert Group On Fair Data

Simon Hodson, Sarah Jones, Sandra Collins, Françoise Genova, Natalie Harrower, Leif Laaksonen, Daniel Mietchen, Rūta Petrauskaité & Peter Wittenburg
Interim report of the European Commission Expert Group on Turning FAIR Data into reality. The Group has a remit to provide recommendations, indicators and input on the financing of activities required to turn FAIR data into reality at an EU, Member State and international level. A FAIR Data Action Plan has also been proposed. See https://doi.org/10.5281/zenodo.1285290 The interim report will be formally released at the EOSC Summit on 11 June 2018 in Brussels, where a workshop will be...

Fair Data Action Plan: Interim Recommendations And Actions From The European Commission Expert Group On Fair Data

Simon Hodson, Sarah Jones, Sandra Collins, Françoise Genova, Natalie Harrower, Daniel Mietchen, Ruta Petrauskaité & Peter Wittenburg
An interim FAIR Data Action Plan developed by the European Commission Expert Group on Turning FAIR Data into reality. The Group has a remit to provide recommendations, indicators and input on the financing of activities required to turn FAIR data into reality at an EU, Member State and international level. See the full interim report at https://doi.org/10.5281/zenodo.1285272 The FAIR Data Action Plan is intended to act as a rubric for Member States and research communities to develop context-specific...

Fair Data Action Plan: Interim Recommendations And Actions From The European Commission Expert Group On Fair Data

Simon Hodson, Sarah Jones, Sandra Collins, Françoise Genova, Natalie Harrower, Daniel Mietchen, Ruta Petrauskaité & Peter Wittenburg
An interim FAIR Data Action Plan developed by the European Commission Expert Group on Turning FAIR Data into reality. The Group has a remit to provide recommendations, indicators and input on the financing of activities required to turn FAIR data into reality at an EU, Member State and international level. See the full interim report at https://doi.org/10.5281/zenodo.1285272 The FAIR Data Action Plan is intended to act as a rubric for Member States and research communities to develop context-specific...

Wikidata and Scholia as a hub linking chemical knowledge

Egon Willighagen, Denise Slenter, Daniel Mietchen, Chris Evelo & Finn Nielsen
Poster presented at the 11th International Conference on Chemical Structures, May 27-31 2018, Noordwijkerhout, The Netherlands.

Wikidata and Scholia as a hub linking chemical knowledge

Egon Willighagen, Denise Slenter, Daniel Mietchen, Chris Evelo & Finn Nielsen
Poster presented at the 11th International Conference on Chemical Structures, May 27-31 2018, Noordwijkerhout, The Netherlands.

Using Shape Expressions (Shex) To Share Rdf Data Models And To Guide Curation With Rigorous Validation

Katherine Thornton, Harold Solbrig, Gregory S. Stupp, Jose Emilio Labra Gayo, Daniel Mietchen, Eric Prud'Hommeaux & Andra Waagmeester
We discuss Shape Expressions (ShEx), a concise, formal, modeling and validation language for RDF structures.
For instance, a Shape Expression
could prescribe
that subjects in a given RDF graph that fall into the shape ``Paper'' are expected to have a section called ``Abstract'', and any ShEx implementation can confirm whether that is indeed the case for all such subjects within a given graph or subgraph. There are currently five actively maintained ShEx implementations. We discuss...

Using Shape Expressions (Shex) To Share Rdf Data Models And To Guide Curation With Rigorous Validation

Katherine Thornton, Harold Solbrig, Gregory S. Stupp, Jose Emilio Labra Gayo, Daniel Mietchen, Eric Prud'Hommeaux & Andra Waagmeester
We discuss Shape Expressions (ShEx), a concise, formal, modeling and validation language for RDF structures.
For instance, a Shape Expression
could prescribe
that subjects in a given RDF graph that fall into the shape ``Paper'' are expected to have a section called ``Abstract'', and any ShEx implementation can confirm whether that is indeed the case for all such subjects within a given graph or subgraph. There are currently five actively maintained ShEx implementations. We discuss...

Geospatial Data And Scholia

Finn Årup Nielsen, Daniel Mietchen & Egon Willighagen
Scholia is a website that displays information about scientific works represented in Wikidata. It extracts the information via queries to the extended SPARQL endpoint Wikidata Query Service (WDQS). Scholia handles geospatial data that may be rendered on maps with the default map output format available in WDQS. We describe the use of geospatial data in Scholia, how we combine it with other data—e.g., on topics, events and affiliations—and present a set of user stories to...

Geospatial Data And Scholia

Finn Årup Nielsen, Daniel Mietchen & Egon Willighagen
Scholia is a website that displays information about scientific works represented in Wikidata. It extracts the information via queries to the extended SPARQL endpoint Wikidata Query Service (WDQS). Scholia handles geospatial data that may be rendered on maps with the default map output format available in WDQS. We describe the use of geospatial data in Scholia, how we combine it with other data—e.g., on topics, events and affiliations—and present a set of user stories to...

A Landscape Survey Of #Activedmps (Preprint)

Sarah Jones, Tomasz Miksa, Daniel Mietchen, Stephanie Simms, Natasha Simons & Kathryn Unsworth
Machine-actionable or ‘active’ Data Management Plans have gathered a great deal of interest over recent years with many groups worldwide discussing a vision of how DMPs can enable researchers to manage their data and connect them up with service providers for support. Discussions are focused on converting DMPs from a stick to a carrot. Researchers and other stakeholders must come to regard them as a benefit, something useful for doing their research, a manifest of...

A Landscape Survey Of #Activedmps (Preprint)

Sarah Jones, Tomasz Miksa, Daniel Mietchen, Stephanie Simms, Natasha Simons & Kathryn Unsworth
Machine-actionable or ‘active’ Data Management Plans have gathered a great deal of interest over recent years with many groups worldwide discussing a vision of how DMPs can enable researchers to manage their data and connect them up with service providers for support. Discussions are focused on converting DMPs from a stick to a carrot. Researchers and other stakeholders must come to regard them as a benefit, something useful for doing their research, a manifest of...

Ten Simple Rules For Machine-Actionable Data Management Plans (Preprint)

Tomasz Miksa, Stephanie Simms, Daniel Mietchen & Sarah Jones
Data management plans (DMPs) are documents accompanying research proposals and project outputs. They describe data and tools employed in scientific investigations, mostly in free-form text. DMPs are often seen as an administrative exercise and not as an integral part of research practice. There is now widespread recognition that the DMP can have more thematic, machine-actionable richness with added value for all stakeholders: researchers, funders, repository managers, research administrators, data librarians, etc. The larger goal is...

Ten Simple Rules For Machine-Actionable Data Management Plans (Preprint)

Tomasz Miksa, Stephanie Simms, Daniel Mietchen & Sarah Jones
Data management plans (DMPs) are documents accompanying research proposals and project outputs. They describe data and tools employed in scientific investigations, mostly in free-form text. DMPs are often seen as an administrative exercise and not as an integral part of research practice. There is now widespread recognition that the DMP can have more thematic, machine-actionable richness with added value for all stakeholders: researchers, funders, repository managers, research administrators, data librarians, etc. The larger goal is...

Ten Draft Rules For Making Data Management Plans Machine Actionable

Sarah Jones, Tomasz Miksa, Stephanie Simms & Daniel Mietchen
We are in the process of drafting a set of rules for making data management plans (DMPs) machine actionable. Since we want to refer to these draft rules in a test run while annotating existing DMPs, we are putting them here, so they can be more easily referred to.

Ten Draft Rules For Making Data Management Plans Machine Actionable

Sarah Jones, Tomasz Miksa, Stephanie Simms & Daniel Mietchen
We are in the process of drafting a set of rules for making data management plans (DMPs) machine actionable. Since we want to refer to these draft rules in a test run while annotating existing DMPs, we are putting them here, so they can be more easily referred to.

Scholia And Scientometrics With Wikidata

Finn Årup Nielsen, Daniel Mietchen & Egon Willighagen
Scholia is a tool to handle scientific bibliographic information through Wikidata. The Scholia Web service creates on-the-fly scholarly profiles for researchers, organizations, journals, publishers, individual scholarly works, and for research topics. To collect the data, it queries the SPARQL-based Wikidata Query Service. Among several display formats available in Scholia are lists of publications for individual researchers and organizations, publications per year, employment timelines, as well as coauthor and topic networks and citation graphs. The Python...

Scholia And Scientometrics With Wikidata

Finn Årup Nielsen, Daniel Mietchen & Egon Willighagen
Scholia is a tool to handle scientific bibliographic information through Wikidata. The Scholia Web service creates on-the-fly scholarly profiles for researchers, organizations, journals, publishers, individual scholarly works, and for research topics. To collect the data, it queries the SPARQL-based Wikidata Query Service. Among several display formats available in Scholia are lists of publications for individual researchers and organizations, publications per year, employment timelines, as well as coauthor and topic networks and citation graphs. The Python...

Resource Types

  • Text
    16
  • Other
    2

Publication Year

  • 2018
    14
  • 2017
    4

Registration Year

  • 2018
    14
  • 2017
    4

Data Centers

  • ZENODO - Research. Shared.
    16
  • figshare Academic Research System
    2