Session Contribution Rest List
A contribution rest export view for sessions.
GET /programme/41/export/?format=api
[
{
"title": "Unlocking the Potential of ELNs: Toward a Helmholtz-Wide Solution",
"url": "/submissions/112",
"abstract": "<p>\n Lab and field notebooks are essential tools for documenting structured information during measurement campaigns or field and laboratory work. Modern Electronic Lab Notebooks (ELNs) offer advanced features to support this documentation process and can enrich records with additional metadata—such as instrumentation details, personnel involved, sample registration, and more. To fully harness this potential, it is desirable to integrate ELNs seamlessly into the center’s data workflows—supporting information flow from sample and data acquisition, through measurement activities, all the way to data publication in repositories.\n</p>\n<p>\n However, many laboratories face significant barriers: ELNs are not readily available, may require costly licenses, and often lack institutional support or training opportunities. As a result, their use is not yet widespread.\n</p>\n<p>\n In this coffee round, we invite participants to explore the potential of ELNs in scientific workflows. Together, we’ll discuss desirable features, briefly review a few existing solutions, and consider whether centrally provided ELN services across Helmholtz could be a sustainable way forward.\n</p>\n",
"presentation_type": "Collaboration Coffee",
"session": "Collaboration Coffees No. 2",
"start": "2025-09-04T13:00:00+02:00",
"duration": "01:00:00",
"authors": [
{
"author": {
"first_name": "Emanuel",
"last_name": "Söding",
"orcid": "0000-0002-4467-642X"
},
"affiliation": [
"GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel"
],
"is_presenter": true
},
{
"author": {
"first_name": "Linda",
"last_name": "Baldewein",
"orcid": "0000-0002-9477-516X"
},
"affiliation": [
"Helmholtz-Zentrum Hereon"
],
"is_presenter": false
},
{
"author": {
"first_name": "Fabian",
"last_name": "Kirchner",
"orcid": null
},
"affiliation": [
"Helmholtz-Zentrum Hereon"
],
"is_presenter": false
},
{
"author": {
"first_name": "Catriona",
"last_name": "Eschke",
"orcid": null
},
"affiliation": [
"Helmholtz-Zentrum Hereon"
],
"is_presenter": false
},
{
"author": {
"first_name": "Mihir",
"last_name": "Rambhia",
"orcid": null
},
"affiliation": [
"Helmholtz-Zentrum Hereon"
],
"is_presenter": false
},
{
"author": {
"first_name": "Andrea",
"last_name": "Pörsch",
"orcid": "0000-0003-4502-6223"
},
"affiliation": [
"GFZ German Research Centre for Geosciences"
],
"is_presenter": false
},
{
"author": {
"first_name": "Dorothee",
"last_name": "Kottmeier",
"orcid": null
},
"affiliation": [
"Alfred-Wegener-Institut - Helmholtz-Zentrum für Polar- und Meeresforschung"
],
"is_presenter": false
}
],
"submitter": "Emanuel Söding",
"event": "Data Science Symposium 2025",
"activity": null,
"accepted": true,
"license": "Creative Commons Attribution 4.0 International (CC-BY-4.0)",
"affiliations": [
"GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel",
"Helmholtz-Zentrum Hereon",
"GFZ German Research Centre for Geosciences",
"Alfred-Wegener-Institut - Helmholtz-Zentrum für Polar- und Meeresforschung"
]
},
{
"title": "Have you ever … used AI tools to search for literature?",
"url": "/submissions/105",
"abstract": "<p>\n Modern AI tools for academic literature research can be divided into\n <i>\n finders\n </i>\n and\n <i>\n connectors\n </i>\n .\n</p>\n<p>\n <i>\n Finders\n </i>\n operate in a quite similar way like catalogues: you enter a keyword, a phrase or – even better – a complete question and receive responding matches.\n <i>\n Finders\n </i>\n work particularly well in the natural sciences, where semantic analyses are less dependent on monographs or older literature sources then in humanities or social sciences. This is due to the fact that\n <i>\n finders\n </i>\n primarily index and analyse English journal articles with given DOIs and open access status.\n <i>\n Connectors\n </i>\n , on the other hand, start with a pre-existing literature source, designated as a\n <i>\n seed\n </i>\n . You enter part of the seed’s metadata (ideally a DOI) into the AI tool to identify further publications. This process automatically identifies literature, which is cited, thematically related or methodologically relevant.\n</p>\n<p>\n In this Collaboration Coffee session, I will demonstrate how to use both options effectively: The start into a specific research question can be aided by a\n <i>\n finder\n </i>\n such as Semantic Scholar or Elicit. Based on a selected publication,\n <i>\n connector\n </i>\n such as ResearchRabbit or Inciteful then help to tap into further literature sources. Alongside my specific examples, I would like to use an interactive tool in this Collaboration Coffee session to hear about your experiences. Let's discuss whether and how these AI tools can speed up our workflow and enhance the scientific depth. Are we able to achieve\n <i>\n deep research\n </i>\n with such AI tools?\n</p>\n",
"presentation_type": "Collaboration Coffee",
"session": "Collaboration Coffees No. 2",
"start": "2025-09-04T13:00:00+02:00",
"duration": "01:00:00",
"authors": [
{
"author": {
"first_name": "Franziska",
"last_name": "Lauer",
"orcid": "0009-0001-4780-735X"
},
"affiliation": [
"Bundesanstalt für Wasserbau - Hamburg"
],
"is_presenter": true
}
],
"submitter": "Franziska Lauer",
"event": "Data Science Symposium 2025",
"activity": null,
"accepted": true,
"license": "Creative Commons Attribution 4.0 International (CC-BY-4.0)",
"affiliations": [
"Bundesanstalt für Wasserbau - Hamburg"
]
}
]