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Research Infrastructure Department Publications

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57 results, from 11

The g.citation Module for Grass GIS: Establishing Fine Granular Software Citation as a Community Best-Practice for Fair and Open Science

EGU General Assembly, 2019, 1 S.
(Geophysical Research Abstracts ; 21)
| Peter Löwe, Vaclav Petras, Helena Mitasova, Markus Neteler

Software Citation Checklist for Authors: Version 0.9.0

This document provides a simple, generic checklist that authors of academic work (papers, books, conference abstracts, blog posts, etc.) can use to ensure they are following good practice when referencing and citing software they have used, both created by themselves for their research as well as obtained from other sources.It may also be used and adapted by journal editors, publishers and conference ...

2019, 5 S. / 14,3 KB | Neil P. Chue Hong, Alice Allen, Peter Löwe ...

Software Citation Checklist for Developers: Version 0.9.0

This document provides a minimal, generic checklist that developers of software (either open or closed source) used in research can use to ensure they are following good practice around software citation. This will help developers get credit for the software they create, and improve transparency, reproducibility, and reuse.

2019, 3 S. / 9,0 KB | Neil P. Chue Hong, Alice Allen, Peter Löwe ...

Copernicus and Data Cubes: Opportunities to Accelerate Research

This presentation provides a high level overview of the EU's Copernicus project and the possible use of of a national data cube to provide a geo-spatial and geo-temporal infrstructure to aid and accelerate research in geo-science, catering for the growth in high volume data sets.

2019, 18,8 MB | Christopher John Atherton, Peter Löwe

Replication Studies in Economics How Many and Which Papers Are Chosen for Replication, and Why?

We investigate how often replication studies are published in empirical economics and what types of journal articles are eventually replicated. We find that from 1974 to 2014 0.10% of publications in the Top 50 economics journals were replications. We take into account the results of replication (negating or reinforcing) and the extent of replication: narrow replication studies are typically devoted ...

Seville: European Commission, 2018, 40 S.
(JRC Technical Reports : JRC Digital Economy Working Paper ; 2018-01)
| Frank Müller-Langer, Benedikt Fecher, Dietmar Harhoff, Gert G. Wagner

Perceptions and Practices of Replication by Social and Behavioral Scientists: Making Replications a Mandatory Element of Curricula Would Be Useful

We live in a time of increasing publication rates and specialization of scientific disciplines. More and more, the research community is facing the challenge of assuring the quality of research and maintaining trust in the scientific enterprise. Replication studies are necessary to detect erroneous research. Thus, the replicability of research is considered a hallmark of good scientific practice and ...

Bonn: IZA, 2016, 25 S.
(Discussion Paper Series / Forschungsinstitut zur Zukunft der Arbeit ; 9896)
| Benedikt Fecher, Mathis Fräßdorf, Gert G. Wagner

Research Parasites Are Beneficial for the Organism as a Whole: Competition between Researchers Creates a Symbiotic Relationship

In the New England Journal of Medicine, Longo and Drazen critically assessed the concept of data sharing. Their main concern is that a "new class of research person will emerge" that uses data, which were gathered by other researchers, for their own original research questions. The authors referred to this class of researcher as "research parasites". Longo and Drazen are right when they note that scientific ...

Bonn: IZA, 2016, 6 S.
(Discussion Paper Series / Forschungsinstitut zur Zukunft der Arbeit ; 9895)
| Benedikt Fecher, Gert G. Wagner

A Reputation Economy: Results from an Empirical Survey on Academic Data Sharing

Academic data sharing is a way for researchers to collaborate and thereby meet the needs of an increasingly complex research landscape. It enables researchers to verify results and to pursuit new research questions with "old" data. It is therefore not surprising that data sharing is advocated by funding agencies, journals, and researchers alike. We surveyed 2661 individual academic researchers across ...

Berlin: RatSWD, 2015, 26 S.
(RatSWD Working Paper Series ; 246)
| Benedikt Fecher, Sascha Friesike, Marcel Hebing, Stephanie Linek, Armin Sauermann
57 results, from 11