32 Works

Ten Principles For Machine-Actionable Data Management Plans

Tomasz Miksa, Stephanie Simms, Daniel Mietchen & Sarah Jones
Data management plans (DMPs) are documents accompanying research proposals and project outputs. DMPs are created as free-form text and describe the data and tools employed in scientific investigations. They 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, and others....

Ten Principles For Machine-Actionable Data Management Plans

Tomasz Miksa, Stephanie Simms, Daniel Mietchen & Sarah Jones
Data management plans (DMPs) are documents accompanying research proposals and project outputs. DMPs are created as free-form text and describe the data and tools employed in scientific investigations. They 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, and others....

A hands-on introduction to Wikidata and WikiCite

Dario Taraborelli & Daniel Mietchen
Slides of our FORCE 2018 talk: A hands-on introduction to Wikidata and WikiCite.

A hands-on introduction to Wikidata and WikiCite

Dario Taraborelli & Daniel Mietchen
Slides of our FORCE 2018 talk: A hands-on introduction to Wikidata and WikiCite.

Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science

Daniel Mietchen & Dario Taraborelli
Slides from our FORCE 2018 talk on "Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science".

Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science

Daniel Mietchen & Dario Taraborelli
Slides from our FORCE 2018 talk on "Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science".

Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science

Daniel Mietchen & Dario Taraborelli
Slides from our FORCE 2018 talk on "Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science".

Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science

Daniel Mietchen & Dario Taraborelli
Slides from our FORCE 2018 talk on "Wikidata, Wikibase, and a federated ecosystem of structured knowledge for open science".

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...

Lifting a veil on the sources of free knowledge: A WikiCite workshop

Dario Taraborelli, Daniel Mietchen, Andy Mabbett & Andra Waagmeester
Slides from our Wikimania 2018 workshop on WikiCite—a Wikimedia initiative to create an open bibliographic knowledge base to serve the sum of all knowledge.

Lifting a veil on the sources of free knowledge: A WikiCite workshop

Dario Taraborelli, Daniel Mietchen, Andy Mabbett & Andra Waagmeester
Slides from our Wikimania 2018 workshop on WikiCite—a Wikimedia initiative to create an open bibliographic knowledge base to serve the sum of all knowledge.

The EU NanoSafety Cluster as Linked Data visualized with Scholia

Egon Willighagen, Najko Jahn & Daniel Mietchen
At a recent hackathon organized by the European Research Council, GeneWiki, and others, a group of 25 researchers came together in Berlin to work on ontologically modelling research grants in Wikidata. During this meeting the EU NanoSafety Cluster was used as use case study, resulting in new linked data around the cluster. The Scholia platform was extended with a Project aspect, more than 40 projects have been added to Wikidata, and almost 500 journal articles...

Towards a FAIR Data ecosystem

Daniel Mietchen
This is a contribution (slides at https://doi.org/10.5281/zenodo.1299252 ) to the FAIR Data Panel at the "Advancing Open Science in the EU and the US" event taking place in Washington, DC, on July 27, 2018.
Further information:
-  about the event: https://www.wilsoncenter.org/event/advancing-open-science-the-eu-and-the-us .
- about the FAIR Principles: https://doi.org/10.1038/sdata.2016.18  .
- about the consultation of the FAIR Data Expert Group: https://github.com/FAIR-Data-EG/Action-Plan A version of this talk has also been presented at the FORCE2018 Conference (cf. https://force2018.sched.com/ )...

Towards a FAIR Data ecosystem

Daniel Mietchen
This is a contribution (slides at https://doi.org/10.5281/zenodo.1299252 ) to the FAIR Data Panel at the "Advancing Open Science in the EU and the US" event taking place in Washington, DC, on July 27, 2018.
Further information:
-  about the event: https://www.wilsoncenter.org/event/advancing-open-science-the-eu-and-the-us .
- about the FAIR Principles: https://doi.org/10.1038/sdata.2016.18  .
- about the consultation of the FAIR Data Expert Group: https://github.com/FAIR-Data-EG/Action-Plan A version of this talk has also been presented at the FORCE2018 Conference (cf. https://force2018.sched.com/ )...

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...

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