30 Apr

EGU General Assembly 2020 online

Sharing Geoscience Online (#shareEGU20) brings part of the activities of the EGU General Assembly 2020 online. From 4 to 8 May 2020 (CEST) everyone can join online for their favourite sessions. Sharing Geoscience Online does not require payment of a registration fee.

The online programme for the week from 4 to 8 May focusses on inter- and transdisciplinary sessions, disciplinary sessions, Union symposia, and great debates (see overview). Short courses and other events will take place in different formats.

Please visit the frequently-updated page on Sharing Geoscience Online with further instructions. To organize your participation, please consider preparing your personal programme.

24 Apr

“Research Data” in the DFG Guidelines for Safeguarding Good Research Practice

The Code of Conduct “Guidelines for Safeguarding Good Research Practice” of the German Science Foundation DFG was updated and significantly expanded in the summer of 2019. The topic of “research data” is newly introduced and strongly anchored in the guidelines. We provide information here on the key points on the topic of “research data” from the guidelines in order to make the expectations toward research institutions and researchers widely known.

As of 1 August 2019, all universities and non-university research institutions will be required to implement the 19 guidelines in a legally binding manner to be eligible to receive DFG funding. For those universities and non-university research institutions that have already implemented the relevant requirements in the DFG white paper “Safeguarding Good Scientific Practice” in a binding manner, there is a two-year transition period for implementing the guidelines in the Code. This period begins on 1 August 2019 and ends on 31 July 2021. 

Excerpts from the DFG Code of Conduct “Guidelines for Safeguarding Good Research Practice”

Guideline 12: Documentation

“Researchers document all information relevant to the production of a research result as clearly as is required by and is appropriate for the relevant subject area to allow the result to be reviewed and assessed. In general, this also includes documenting individual results that do not support the research hypothesis. The selection of results must be avoided. Where subject-specific recommendations exist for review and assessment, researchers create documentation in accordance with these guidelines. If the documentation does not satisfy these requirements, the constraints and the reasons for them are clearly explained. Documentation and research results must not be manipulated; they are protected as effectively as possible against manipulation.”

Explanations on Guideline 12

“An important basis for enabling replication is to make available the information necessary to understand the research (including the research data used or generated, the methodological, evaluation and analytical steps taken, and, if relevant, the development of the hypothesis), to ensure that citations are clear, and, as far as possible, to enable third parties to access this information. Where research software is being developed, the source code is documented.”

Guideline 13: Providing public access to research results

“If it has been decided to make results available in the public domain, researchers describe them clearly and in full. Where possible and reasonable, this includes making the research data, materials and information on which the results are based, as well as the methods and software used, available and fully explaining the work processes. Software programmed by researchers themselves is made publicly available along with the source code. Researchers provide full and correct information about their own preliminary work and that of others.“

Explanations on Guideline 13

“In the interest of transparency and to enable research to be referred to and reused by others, whenever possible researchers make the research data and principal materials on which a publication is based available in recognised archives and repositories in accordance with the FAIR principles (Findable, Accessible, Interoperable, Reusable). Restrictions may apply to public availability in the case of patent applications. If self-developed research software is to be made available to third parties, an appropriate licence is provided. In line with the principle of “quality over quantity”, researchers avoid splitting research into inappropriately small publications. They limit the repetition of content from publications of which they were (co-)authors to that which is necessary to enable the reader to understand the context. They cite results previously made publicly available unless, in exceptional cases, this is deemed unnecessary by the general conventions of the discipline.

21 Apr

FID GEO´s new E-mail Newsletter

With a focus on the geosciences, FID GEO regularly publishes news on the electronic publishing of research data, texts and maps on its website. Digitisation and Open Science are further topics.

You can now easily receive these news by e-mail: register here.

Who should register:

  • Information professionals at research institutions: Librarians, subject specialists, research data management staff
  • Scientists from the earth sciences and related disciplines
  • Geoscientific societies
14 Apr

Open Data Impact Award

Interesting for geoscientists too: The Stifterverband für die Deutsche Wissenschaft e.V. has announced an Open Data Impact Award to strengthen Open Data in science.

What the award offers:

  • A total of 30,000 euros in funding, distributed among three award winners
  • Visibility for award winners and for the topic, public relations, portrait of the award winners by the media partner DUZ

Applications are open to: scientists (or research groups) of all disciplines at universities or non-university research institutions based in Germany who have made their research data available and who have enabled and developed innovative re-use outside the scientific community or who demonstrate the potential for social impact in the re-use of their data.

The application deadline for all submissions is 30 June 2020.
More information: Call for proposals and application.

08 Apr

FID GEO call for abstracts GeoUtrecht2020

FID GEO is co-organiser of two sessions at the GeoUtrecht2020 (24-26 August 2020, Utrecht, NL) and calls for contributions to one or both sessions. See below for details of the sessions. Deadline for the submission of abstracts: Tuesday, 5 May 2020.

Section 6, Theme 6.1, Session 6.1.1 ‚Research data and software management in times of FAIR and Open Data
Chairs: Andreas Hübner, GFZ German Research Centre for Geosciences; Dirk Fleischer, Kiel University

Demands for integrity, transparency and reproducibility of today’s research are increasing, posing new challenges for research data and software management in all science communities. The geoscience community is responding to these requests with a growing number of scientific networks and initiatives, at different levels and with varying thrust. Bottom-up driven initiatives like the Research Data Alliance (RDA) and national and international funding organizations bringing forward the German Alliance for Marine Science (DAM), the German National Research Data Infrastructure (NFDI) or the European Open Science Cloud (EOSC), all call for frictionless interoperability from the top-level side.All of this is supported by the intermediate activities like the Coalition for Publishing Data in the Earth and Space Sciences (COPDESS) and FAIR initiatives, promoting the cultural change in publishing and citation of data, samples and software in journal articles towards more transparent research. This session invites contributions that present novel approaches, best practices and community efforts in geoscience research data and research software management to enable open access and reuse of data and code.

Section 6, Theme 6.2, Session 6.2.2 ‚Concepts, practice and future of research data and software literacy
Chairs: Dirk Fleischer, Kiel University; Andreas Hübner, GFZ German Research Centre for Geosciences

Data Literacy is a fundamental competence to be able to participate in the digital world in science, work and society. Data Literacy is the ability to deal with data in a structured and systematic way and to use and question it consciously. Within recent years a strong call was made for improved ‚Data Literacy‘ and related ‚Future skills‘ for scientists. One prominent example in Germany was the launch of the funding programs for Data Literacy of the German ‚Stifterverband‘. The latter also participated in a combined call within the German state of North Rhine-Westphalia for institutions of higher education to provide data literacy education to the students with a total volume of 3 Mio Euro.This session invites presentations from people who are planning or already teaching ‚Data Literacy‘ and digital methods in their courses as a part of the general curricular. It may also worthwhile to share experiences with established programmes concerning Future Skills at an university. It is the intention of the session to provide examples of the multiple ways to take the education of the scientists of the future one step further by including data driven methods concurrent to teaching data creation.