%0 Journal Article %1 weber_methods_2019 %A Weber, Tobias %A Kranzlmüller, Dieter %D 2019 %K Forschungsdatenmanagement Lebenszyklus_Modell PfL ddm en evaluation lifecycle_data_management lifecycle_model m5.1 research_data_management %R http://dx.doi.org/10.18452/19691 %T Methods to Evaluate Lifecycle Models for Research Data Management %U https://edoc.hu-berlin.de/handle/18452/20475 %X Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts of research data management. The analyses of 90 different lifecycle models lead to two approaches to assess the quality of these models. While terminological issues make direct comparisons of models hard, an empirical evaluation seems possible.

@article{weber_methods_2019, abstract = {Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts of research data management. The analyses of 90 different lifecycle models lead to two approaches to assess the quality of these models. While terminological issues make direct comparisons of models hard, an empirical evaluation seems possible.}, added-at = {2020-08-13T12:32:22.000+0200}, author = {Weber, Tobias and Kranzlmüller, Dieter}, biburl = {https://www.bibsonomy.org/bibtex/2de84bac9100d8a4823f1807030724b36/zotero}, copyright = {(CC BY-NC-ND 4.0) Attribution-NonCommercial-NoDerivatives 4.0 International}, doi = {http://dx.doi.org/10.18452/19691}, interhash = {7f551bbe4926ed34f8e031068fb1b3e4}, intrahash = {de84bac9100d8a4823f1807030724b36}, keywords = {Forschungsdatenmanagement Lebenszyklus_Modell PfL ddm en evaluation lifecycle_data_management lifecycle_model m5.1 research_data_management}, language = {eng}, month = jan, timestamp = {2020-08-17T14:17:13.000+0200}, title = {Methods to {Evaluate} {Lifecycle} {Models} for {Research} {Data} {Management}}, url = {https://edoc.hu-berlin.de/handle/18452/20475}, urldate = {2019-08-06}, year = 2019 }