From cf6e9927ef46cae67c1a592e86b18ba6a2f779d1 Mon Sep 17 00:00:00 2001
From: Michael Kohlhase <michael.kohlhase@fau.de>
Date: Fri, 18 Nov 2022 16:31:04 +0100
Subject: [PATCH] more
---
workingpaper/proposals.md | 61 ++++++++++++++++++++++-----------------
1 file changed, 34 insertions(+), 27 deletions(-)
diff --git a/workingpaper/proposals.md b/workingpaper/proposals.md
index 90c794d..0e47756 100644
--- a/workingpaper/proposals.md
+++ b/workingpaper/proposals.md
@@ -1,29 +1,32 @@
-# Basic RDM text for proposals
+# CDI-Guided - Basic RDM text fragments for proposals
-Research data management is very discipline-spezific and closely bound to the actual research. Therefore you cannot just copy and paste the proposed text elements, sometimes additions by you are necessary. Also not all RDM services may be relevant - if you do not develop software, you do not need version-controlled storage.
+Version of 18. 11. 2022; *Work in Progress*
-This document does not cover concepts for data-management plans themselves. For them, FAU offers the RDMO tool (https://rdmo.ub.fau.de/).
-
-## 1. How to use this document
+> Michael Kohlhase, Marcus Walther, Jürgen Rohrwild
-Text proposals are formatted as quotes, like...
+This guide gives you text fragments that can be used for starting the RDM parts of your
+next proposal. They can only serve as ideas for formulations and remind you of aspects you
+may otherwise forget. Naturally - every research proposal is different - they need to be
+adapted to your particular needs and situation.
-> This is a suggestion for your proposal.
+This guide will be updated regularly, please feel free to contribute!
-Information you have to add by yourself is shown in green boxes, like ...
+## 1. Introduction
-* Add discipline-specific repository.
-{: .alert .alert-warning}
+Research data management is very discipline-specific and closely bound to the actual research. Therefore you cannot just copy and paste the proposed text elements, sometimes additions by you are necessary. Also not all RDM services may be relevant - if you do not develop software, you do not need version-controlled storage.
-Important notes are show in red boxes, like ...
-
-Never save data on your notebook only.
-{: .alert .alert-danger}
+This document does not cover concepts for data-management plans themselves. For them, FAU offers the RDMO tool (https://rdmo.ub.fau.de/).
## 2. Glossary
-* *Hot Data* - Data that are used "now" in ongoing research. May change often, and a regular and easy access is needed. Basically you work on or with these data in your daily routines.
-* *Cold Data* - Data that were used during research (not necessarily for publications). They need to be kept to ensure good scientific practice and for future work. They are not changed anymore and should be seen as read-only.
+* *Hot Data* - Data that are used "now" in ongoing research. May change often, and a
+ regular and easy access is needed. Basically you work on or with these data in your
+ daily routines.
+* *Warm Data* - Data that is not fixed yet, but is already shared with a selected group
+ of researchers (e.g. in the project).
+* *Cold Data* - Data that were used during research (not necessarily for
+ publications). They need to be kept to ensure good scientific practice and for future
+ work. They are not changed anymore and should be seen as read-only.
## 3. Data-Plan Text Fragments by Research Style
@@ -31,14 +34,15 @@ Never save data on your notebook only.
> Data and metadata will be stored at ... (see below) ... and in compliance with the FAU data policy (https://www.fau.info/fdm-policy) as well as the FAIR principles (https://www.go-fair.org/fair-principles/).
-
+** You will also have to address the following**:
* Say something about publications.
* What else can be added from the RD policy?
-{: .alert .alert-warning}
+
### 3.1 Research/Project Style
-Depending on the relevance of data for your research, your data-management plan may need to provide more information on reseach-data management.
+Depending on the relevance of data for your research, your data-management plan may need
+to provide more information on research-data management.
#### 3.1.1 Data-agnostic Research
@@ -50,20 +54,20 @@ Depending on the relevance of data for your research, your data-management plan
(continued below)
+**You will aso have to address the following**:
* Add a table with an overview of data types, formats and volume.
* Add an overview of data workflow(s) (figure or text).
-{: .alert .alert-warning}
#### 3.1.3 Data-producing Research
-> My/Our research produces research data as a main outcome and will be evaluated on the scope, quantity, and quality of the data supplied to the reserach community. A high degree of implementation of the FAIR criteria in the produced datasets will be a determining factor for the utility and recognition. Therefore, professional research-data management is vital for quality and success of my/our research work.
+> My/Our research produces research data as a main outcome and will be evaluated on the scope, quantity, and quality of the data supplied to the research community. A high degree of implementation of the FAIR criteria in the produced datasets will be a determining factor for the utility and recognition. Therefore, professional research-data management is vital for quality and success of my/our research work.
#### 3.1.4 Data-intensive Research (replaced "heavy"; still looking for a better name)
> My/Our research is both *data-driven* and *data-producing*. [... explanation ...]. Therefore it ...
-Prepare a synopsis text between the two above, when they have stability.
-{: .alert .alert-warning}
+**You will aso have to address the following**:
+ Prepare a synopsis text between the two above, when they have stability.
### 3.2 Data Privacy Concerns
@@ -85,11 +89,11 @@ Prepare a synopsis text between the two above, when they have stability.
Storage infrastructure needs to be professional. Usually this is fulfilled for *hot data* by
* a central network storage (FAU: RRZE, UKER: MIK),
-* discipline-spezific data sources,
+* discipline-specific data sources,
* 3rd party professional storage systems.
{: .alert .alert-warning}:::
-### 3.5 Long-Term Sustainabiliby of Research Data
+### 3.5 Long-Term Sustainability of Research Data
> After the termination of the proposed project, all relevant datasets will be safeguarded ...
@@ -107,8 +111,8 @@ Sometimes the funding agency requires an in-kind contribution from FAU for the p
> The in-kind contribution of FAU includes research-data-management support via the CDI and the FAUDataCloud ...
+**You will aso have to address the following**:
Any in-kind-contribution promises need to be cleared with the CDI, which will record the numbers for internal planning, accounting, and justification.
-{: .alert .alert-danger}
## 4. Full Examples
@@ -126,7 +130,7 @@ These texts are just an inspiration for you.
> The research data produced in the project mainly consist of digitizations of cultural artefacts and their annotations and metadata in a Linked-Open-Data (LOD) format with standardized ontologies. All research data will be curated in accordance to the respective current FAIR standards and will be published under permissive licences (Open Data Licenses) while respecting the first-publication interests of the project members.
-> FAU will ensure long-term archiving of the research data via its Competence Center for Research Data and Information (CDI, https://cdi.fau.de). FAU CDI provides hosting and maintenance for WissKI instances as part of the FAUWissKICloud (https://wisski.data.fau.de) service and will support the WissKI-based Virtual Resarch Environment (VRE) of the XXX project after the project termination.
+> FAU will ensure long-term archiving of the research data via its Competence Center for Research Data and Information (CDI, https://cdi.fau.de). FAU CDI provides hosting and maintenance for WissKI instances as part of the FAUWissKICloud (https://wisski.data.fau.de) service and will support the WissKI-based Virtual Research Environment (VRE) of the XXX project after the project termination.
> To support the continued development of the XXX-VRE after the project duration, we plan to establish an independent organizational structure or foundation (Förderverein). If established during the project duration, this foundation could also supply research associates access to research data and resources with restricted licenses under suitable non-disclosure-agreements (NDA), which could use the Prometheus image archive (https://www.prometheus-bildarchiv.de/) as a role model.
@@ -148,3 +152,6 @@ These texts are just an inspiration for you.
- Optional: Sie könnten für den Vollantrag die Erstellung eines Datenmanagementplans in Aussicht stellen (müssten das dann aber auch tun), alternativ den DMP erst nach Bewilligung erstellen (oder das Thema nicht ansprechen, da derzeit noch nicht verpflichtend z.B. bei GRKs)
- Beratung an der FAU durch die Competence Unit for Research Data and Information (CDI) – zentrale wissenschaftliche Einrichtung inkl. Bibliothek und Rechenzentrum.
- FAU stellt die Verfügbarkeit der Forschungsdaten auch über die Laufzeit des Projekts hinaus sicher.
+
+<!-- LocalWords: WissKI-Hosting
+ -->
--
GitLab