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literatur.bib
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@article{lassila1998resource,
title={Resource description framework (RDF) model and syntax specification},
author={Lassila, Ora and Swick, Ralph R and others},
year={1998},
publisher={Citeseer}
}
@article{druskat2017citation,
title={Citation File Format (CFF)},
author={Druskat, Stephan and Spaaks, Jurriaan H and Hong, N Chue and Haines, Robert and Baker, James},
journal={Zenodo. doi},
url={https://doi.org/10.5281/zenodo.1003149},
doi={10.5281/zenodo.1003149},
volume={10},
year={2017}
}
@misc{stallman2001free,
title={What is Free Software? The Free Software Definition},
author={Stallman, Richard M},
url={https://www.gnu.org/philosophy/free-sw.html.en},
urldate = {2020-06-23},
year={2001}
}
@article{jung2004measuring,
title={Measuring software product quality: A survey of ISO/IEC 9126},
author={Jung, Ho-Won and Kim, Seung-Gweon and Chung, Chang-Shin},
journal={IEEE software},
volume={21},
number={5},
pages={88--92},
year={2004},
publisher={IEEE}
}
@article{schmidt_marwick_2020,
title = {Tool-Driven Revolutions in Archaeological Science},
volume = {3},
issn = {2514-8362},
url = {http://journal.caa-international.org/articles/10.5334/jcaa.29/},
doi = {10.5334/jcaa.29},
abstract = {There is an argument in philosophy of science that revolutions in science are either idea-driven or tool-driven. We explore this debate in light of recent efforts by many scientific disciplines to embrace methods to improve the reproducibility of their research. One of the most profound changes driven by this concern for reproducibility and transparency is from analysing data using tools dependent on point-and-clicking with a mouse in closed source software, to tools based on writing scripts in open source programming languages and making them openly available. We present bibliometric evidence for this change in ecology and in archaeology to test if the adoption of these new tools is revolutionary or transformational. We identify a positive citation effect for papers that use the open source programming language R. We discuss how computational approaches to improving reproducibility and transparency in archaeology are mediated and transformed by the use of R code.},
pages = {18--32},
number = {1},
journaltitle = {Journal of Computer Applications in Archaeology},
author = {Schmidt, Sophie C. and Marwick, Ben},
urldate = {2020-01-29},
date = {2020-01-28},
year= {2020},
langid = {english},
keywords = {reproducibility, archaeological science, bibliometrics, programming}
}
@report{deutsche_forschungsgemeinschaft_2019,
title = {Leitlinien zur Sicherung guter wissenschaftlicher Praxis - Kodex},
url = {https://www.dfg.de/download/pdf/foerderung/rechtliche_rahmenbedingungen/gute_wissenschaftliche_praxis/kodex_gwp.pdf},
pages = {31},
author = {Deutsche Forschungsgemeinschaft},
urldate = {2020-06-23},
year = {2019},
langid = {german}
}
@mastersthesis{Seidig2017Usability-Test,
author = {Seidig, Marianne},
title = {Usability-Test virtueller Forschungsumgebungen für die Geisteswissenschaften am Beispiel von Meta-Image},
school = {Humboldt-Universität zu Berlin, null},
year = {2017},
doi = {http://dx.doi.org/10.18452/2154}
}
@dataset{hettrick_2014_14809,
author = {Hettrick, Simon and
Antonioletti, Mario and
Carr, Les and
Chue Hong, Neil and
Crouch, Stephen and
De Roure, David and
Emsley, Iain and
Goble, Carole and
Hay, Alexander and
Inupakutika, Devasena and
Jackson, Mike and
Nenadic, Aleksandra and
Parkinson, Tim and
Parsons, Mark I and
Pawlik, Aleksandra and
Peru, Giacomo and
Proeme, Arno and
Robinson, John and
Sufi, Shoaib},
title = {UK Research Software Survey 2014},
month = {dec},
year = {2014},
publisher = {Zenodo},
doi = {10.5281/zenodo.14809},
url = {https://doi.org/10.5281/zenodo.14809}
}
@article{lamprecht_towards_2019,
title = {Towards {FAIR} principles for research software},
volume = {Preprint},
issn = {2451-8484},
url = {https://content.iospress.com/articles/data-science/ds190026},
doi = {10.3233/DS-190026},
abstract = {The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility, interoperability and reusability of digital research objects for both humans and machines. Until now the FAIR principles have been mostly applied to resear},
language = {en},
number = {Preprint},
urldate = {2020-05-27},
journal = {Data Science},
author = {Lamprecht, Anna-Lena and Garcia, Leyla and Kuzak, Mateusz and Martinez, Carlos and Arcila, Ricardo and Martin Del Pico, Eva and Dominguez Del Angel, Victoria and van de Sandt, Stephanie and Ison, Jon and Martinez, Paula Andrea and McQuilton, Peter and Valencia, Alfonso and Harrow, Jennifer and Psomopoulos, Fotis and Gelpi, Josep Ll and Chue Hong, Neil and Goble, Carole and Capella-Gutierrez, Salvador},
month = {jan},
year = {2019},
note = {Publisher: IOS Press},
pages = {1--23},
file = {Full Text PDF:/home/ankl_admin/Zotero/storage/J7DL86N5/Lamprecht et al. - 2019 - Towards FAIR principles for \;research \;sof.pdf:application/pdf;Snapshot:/home/ankl_admin/Zotero/storage/BYCDA7FL/ds190026.html:text/html}
}
@techreport{katz_software_2016,
title = {Software vs. data in the context of citation},
url = {https://peerj.com/preprints/2630},
abstract = {Software is data, but it is not just data. While "data" in computing and information science can refer to anything that can be processed by a computer, software is a special kind of data that can be a creative, executable tool that operates on data. However, software and data are similar in that they both traditionally have not been cited in publications. This paper discusses the differences between software and data in the context of citation, by providing examples and referring to evidence in the form of citations.},
language = {en},
number = {e2630v1},
urldate = {2020-05-27},
institution = {PeerJ Inc.},
author = {Katz, Daniel S. and Niemeyer, Kyle E. and Smith, Arfon M. and Anderson, William L. and Boettiger, Carl and Hinsen, Konrad and Hooft, Rob and Hucka, Michael and Lee, Allen and Löffler, Frank and Pollard, Tom and Rios, Fernando},
month = dec,
year = {2016},
doi = {10.7287/peerj.preprints.2630v1},
note = {ISSN: 2167-9843},
file = {Full Text PDF:/home/ankl_admin/Zotero/storage/QVFCDNSX/Katz et al. - 2016 - Software vs. data in the context of citation.pdf:application/pdf;Snapshot:/home/ankl_admin/Zotero/storage/X5CL92ZW/2630v1.html:text/html}
}
@article{breland_how_2017,
chapter = {Technology},
title = {How white engineers built racist code – and why it's dangerous for black people},
issn = {0261-3077},
url = {https://www.theguardian.com/technology/2017/dec/04/racist-facial-recognition-white-coders-black-people-police},
abstract = {As facial recognition tools play a bigger role in fighting crime, inbuilt racial biases raise troubling questions about the systems that create them},
language = {en-GB},
urldate = {2020-05-29},
journal = {The Guardian},
author = {Breland, Ali},
month = dec,
year = {2017},
keywords = {Business, Facial recognition, Race, Technology, Technology sector, US crime},
file = {Snapshot:/home/ankl_admin/Zotero/storage/MNXVFT86/racist-facial-recognition-white-coders-black-people-police.html:text/html}
}
@article{breland_how_2017,
chapter = {Technology},
title = {How white engineers built racist code – and why it's dangerous for black people},
issn = {0261-3077},
url = {https://www.theguardian.com/technology/2017/dec/04/racist-facial-recognition-white-coders-black-people-police},
abstract = {As facial recognition tools play a bigger role in fighting crime, inbuilt racial biases raise troubling questions about the systems that create them},
language = {en-GB},
urldate = {2020-05-29},
journal = {The Guardian},
author = {Breland, Ali},
month = {dec},
year = {2017},
keywords = {Business, Facial recognition, Race, Technology, Technology sector, US crime},
file = {Snapshot:/home/ankl_admin/Zotero/storage/MNXVFT86/racist-facial-recognition-white-coders-black-people-police.html:text/html}
}
@misc{noauthor_w3c_nodate,
title = {{W3C} {Mission}},
url = {https://www.w3.org/Consortium/mission.html#principles},
urldate = {2020-05-29},
file = {W3C Mission:/home/ankl_admin/Zotero/storage/UCJVPITD/mission.html:text/html}
}
@article{anzt_environment_2020,
title = {An {Environment} for {Sustainable} {Research} {Software} in {Germany} and {Beyond}: {Current} {State}, {Open} {Challenges}, and {Call} for {Action}},
volume = {9},
issn = {2046-1402},
shorttitle = {An {Environment} for {Sustainable} {Research} {Software} in {Germany} and {Beyond}},
url = {http://arxiv.org/abs/2005.01469},
doi = {10.12688/f1000research.23224.1},
abstract = {Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct new research e ectively. In other words, software must be available, discoverable, usable, and adaptable to new needs, both now and in the future. Research software therefore requires an environment that supports sustainability. Hence, a change is needed in the way research software development and maintenance are currently motivated, incentivized, funded, structurally and infrastructurally supported, and legally treated. Failing to do so will threaten the quality and validity of research. In this paper, we identify challenges for research software sustainability in Germany and beyond, in terms of motivation, selection, research software engineering personnel, funding, infrastructure, and legal aspects. Besides researchers, we speci cally address political and academic decision-makers to increase awareness of the importance and needs of sustainable research software practices. In particular, we recommend strategies and measures to create an environment for sustainable research software, with the ultimate goal to ensure that software-driven research is valid, reproducible and sustainable, and that software is recognized as a rst class citizen in research. This paper is the outcome of two workshops run in Germany in 2019, at deRSE19 - the rst International Conference of Research Software Engineers in Germany - and a dedicated DFG-supported follow-up workshop in Berlin.},
language = {en},
urldate = {2020-05-31},
journal = {F1000Research},
author = {Anzt, Hartwig and Bach, Felix and Druskat, Stephan and Löffler, Frank and Loewe, Axel and Renard, Bernhard Y. and Seemann, Gunnar and Struck, Alexander and Achhammer, Elke and Aggarwal, Piush and Appel, Franziska and Bader, Michael and Brusch, Lutz and Busse, Christian and Chourdakis, Gerasimos and Dabrowski, Piotr W. and Ebert, Peter and Flemisch, Bernd and Friedl, Sven and Fritzsch, Bernadette and Funk, Maximilian D. and Gast, Volker and Goth, Florian and Grad, Jean-Noël and Hermann, Sibylle and Hohmann, Florian and Janosch, Stephan and Kutra, Dominik and Linxweiler, Jan and Muth, Thilo and Peters-Kottig, Wolfgang and Rack, Fabian and Raters, Fabian H. C. and Rave, Stephan and Reina, Guido and Reißig, Malte and Ropinski, Timo and Schaarschmidt, Joerg and Seibold, Heidi and Thiele, Jan P. and Uekerman, Benjamin and Unger, Stefan and Weeber, Rudolf},
month = {apr},
year = {2020},
note = {arXiv: 2005.01469},
keywords = {Computer Science - General Literature, Computer Science - Software Engineering},
pages = {295},
file = {Anzt et al. - 2020 - An Environment for Sustainable Research Software i.pdf:/home/ankl_admin/Zotero/storage/P6425NCI/Anzt et al. - 2020 - An Environment for Sustainable Research Software i.pdf:application/pdf}
}
@book{ianus-forschungsdatenzentrum_fur_archaologie__altertumswissenschaften_it-empfehlungen_2014,
title = {{IT}-{Empfehlungen} für den nachhaltigen {Umgang} mit digitalen {Daten} in den {Altertumswissenschaften}},
booktitle = {{IT}-{Empfehlungen} für den nachhaltigen {Umgang} mit digitalen {Daten} in den {Altertumswissenschaften}},
copyright = {CC-BY-SA},
url = {https://www.ianus-fdz.de/it-empfehlungen/},
doi = {10.13149/000.111000-A},
urldate = {2020-06-05},
editor = {{IANUS} and Heinrich, Maurice and Schäfer, Felix and Trognitz, Martina},
year = {2014},
publisher = {IANUS - FDZ Archäologie \& Altertumswissenschaften}
}
@article{wilkinson_2016,
author={Wilkinson, Mark D. and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E. and Bouwman, Jildau and Brookes, Anthony J. and Clark, Tim and Crosas, Merc{\`e} and Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo, Chris T. and Finkers, Richard and Gonzalez-Beltran, Alejandra and Gray, Alasdair J.G. and Groth, Paul and Goble, Carole and Grethe, Jeffrey S. and Heringa, Jaap and 't Hoen, Peter A.C and Hooft, Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher, Scott J. and Martone, Maryann E. and Mons, Albert and Packer, Abel L. and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes, Erik and Sengstag, Thierry and Slater, Ted and Strawn, George and Swertz, Morris A. and Thompson, Mark and van der Lei, Johan and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun and Mons, Barend},
title={The {FAIR Guiding Principles} for scientific data management and stewardship},
journal={Scientific Data},
year={2016},
month={Mar},
day={15},
volume={3},
number={1},
pages={160018},
abstract={There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders---representing academia, industry, funding agencies, and scholarly publishers---have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.},
issn={2052-4463},
doi={10.1038/sdata.2016.18},
url={https://doi.org/10.1038/sdata.2016.18}
}
@misc{katerbow_2018,
title={Handreichung zum Umgang mit Forschungssoftware},
DOI={10.5281/zenodo.1172970},
abstractNote={<p>Die vorliegende Handreichung beschreibt Herausforderungen für den Umgang mit Forschungssoftware und gibt Handlungsempfehlungen für die Entwicklung, die Anwendung und das Anbieten von Forschungssoftware. Gerade im Zuge der politischen Debatte über den digitalen Wandel in den Wissenschaften ist die Relevanz von Forschungssoftware für das moderne wissenschaftliche Arbeiten deutlich hervorzuheben.</p> <p>Die Handreichung wurde von der 2016 neu gegründeten Ad-hoc-Arbeitsgruppe „Wissenschaftliche Software“ innerhalb der <a href="https://www.allianzinitiative.de/">Allianz-Initiative Digitale Information</a> erarbeitet. Federführende Autoren sind Matthias Katerbow und Georg Feulner.</p> <p>Zu den Mitgliedern der Ad-hoc-Arbeitsgruppe gehören (in alphabetischer Reihenfolge): Mathias Bornschein, Prof. Dr. Björn Brembs, Dr. Michael Erben-Russ, Dr. Georg Feulner, Dr. Konrad Förstner, Michael Franke, Dr. Bernadette Fritzsch, Dr. Jürgen Fuhrmann, Prof. Dr. Michael Goedicke, Stephan Janosch, Dr. Matthias Katerbow, Dr. Uwe Konrad, Dennis Zielke.</p>},
publisher={Zenodo},
author={Katerbow, Matthias and Feulner, Georg},
year={2018},
month={Feb}
}
@misc{scheliga_pampel_2017,
title={ Helmholtz Open Science Workshop „Zugang zu und Nachnutzung von wissenschaftlicher Software“ #hgfos16: Report},
DOI={10.2312/lis.17.01},
url={https://gfzpublic.gfz-potsdam.de/pubman/item/item_2077888},
author={Scheliga, Kaja and Pampel, Heinz and Bernstein, Erik and Bruch, Christoph and zu Castell, Wolfgang and Diesmann, Markus and Fritzsch, Bernadette and Fuhrmann, Jürgen and Haas, Holger and Hammitzsch, Martin and Lähnemann, David and McHardy, Alice and Konrad, Uwe and Scharnberg, Gianna and Schreiber, Andreas and Steglich, Dirk},
year={2017},
month={Mar}
}
@misc{hettrick_2017,
title={A not-so-brief history of Research Software Engineers},
url={https://www.software.ac.uk/blog/2016-08-17-not-so-brief-history-research-software-engineers-0},
author={Hettrick, Simon},
year={2016},
month={Aug}
}
@inproceedings{baxter_2012,
title = {The Research Software Engineer},
booktitle = {Digital Research 2012},
author = {Baxter, Rob and Chue Hong, Neil and Gorissen, Dirk and Hetherington, James and Todorov, Ilian},
url = {https://web.archive.org/web/20180202071627/http://digital-research-2012.oerc.ox.ac.uk/papers/the-research-software-engineer/at_download/file},
urldate = {2020-06-25},
year = {2012}
}
@misc{helmholtz_web,
title = {Forschungssoftware},
url = {https://os.helmholtz.de/open-science-in-der-helmholtz-gemeinschaft/forschungssoftware/},
author = {Helmholtz Open Science},
urldate = {2020-06-25},
year = {2019}
}
@misc{forschungsdaten_info_dfg,
title = {Softwareentwicklung in der Wissenschaft},
url = {https://www.forschungsdaten.info/themen/ethik-und-gute-wissenschaftliche-praxis/softwareentwicklung-und-gute-wissenschaftliche-praxis/},
author = {forschungsdaten.info},
urldate = {2020-06-27},
year={2020}
}
@misc{bach_dersews19,
title = {Herausforderungen für die nachhaltige Entwicklung, Bereitstellung und Pflege von Forschungssoftware in Deutschland},
url = {https://de-rse.org/de/conf2019/talk/PVEXDH/slides.pdf},
author = {Bach, Felix and Druskat, Stephan and Katerbow, Matthias and Loewe, Axel and Seemann, Gunnar},
urldate = {2019-06-05},
year={2019}
}
@book{bezjak_openscience_2018,
title={Open Science Training Handbook},
DOI={10.5281/zenodo.1212496}, abstractNote={<p><strong>For a readable version of the book, please visit <a href="https://book.fosteropenscience.eu">https://book.fosteropenscience.eu</a></strong></p> <p>A group of fourteen authors came together in February 2018 at the TIB (German National Library of Science and Technology) in Hannover to create an open, living handbook on Open Science training. High-quality trainings are fundamental when aiming at a cultural change towards the implementation of Open Science principles. Teaching resources provide great support for Open Science instructors and trainers. The Open Science training handbook will be a key resource and a first step towards developing Open Access and Open Science curricula and andragogies. Supporting and connecting an emerging Open Science community that wishes to pass on their knowledge as multipliers, the handbook will enrich training activities and unlock the community’s full potential.</p> <p>In this first release of the Open Science Training Handbook, some initial feedback from the community is already included.</p>},
publisher={Zenodo},
author={Bezjak, Sonja and Clyburne-Sherin, April and Conzett, Philipp and Fernandes, Pedro and Görögh, Edit and Helbig, Kerstin and Kramer, Bianca and Labastida, Ignasi and Niemeyer, Kyle and Psomopoulos, Fotis et al.},
year={2018},
month={Apr}
}
@misc{loeffler_nfdi4rse20,
title = {Nationale Forschungsdateninfrastruktur für wissenschaftliche Software (NFDI4RSE)},
url = {https://www.dfg.de/download/pdf/foerderung/programme/nfdi/nfdi_konferenz_2020/nfdi4rse_abstract.pdf},
author = {Löffler, Frank},
urldate = {2020-06-25},
year={2020}
}
@misc{goedicke_nfdixcs20,
title = {Nationale Forschungsdateninfrastruktur für und mit Computer Science (NFDIxCS)},
url = {https://www.dfg.de/download/pdf/foerderung/programme/nfdi/nfdi_konferenz_2020/nfdixcs_abstract.pdf},
author = {Goedicke, Michael and Lucke, Ulrike},
urldate = {2020-06-25},
year={2020}
}