[okfn-labs] common APIs and metadata from repositories

Philip Durbin philip_durbin at harvard.edu
Mon May 4 22:08:51 UTC 2015


Of interest perhaps
---------- Forwarded message ----------
From: "Eleni Castro" <posixeleni at gmail.com>
Date: May 4, 2015 4:11 PM
Subject: [Dataverse-Users] Pre-Meeting Workshop: Common Models and APIs for
Data Publishing and Citation (June 9)
To: <dataverse-community at googlegroups.com>
Cc:

Hi Dataverse Community,

On June 9, prior to the Dataverse Community Meeting (June 10-11), we are
hosting the *Common Models and APIs for Data Publishing and Citation
Workshop* at Harvard University, which is organized by Tim Clark, Sünje
Dallmeier-Tiessen, Mercè Crosas and the Dataverse team. This workshop will
focus on defining and improving standards for APIs, metadata profiles and
workflows across repositories, publishers’ systems and other data services
to achieve better interoperability (see agenda
<http://projects.iq.harvard.edu/dataverse-community-meeting/premeeting-workshop#agenda>
).

The day will be divided into two main sessions: (1) the first half will be
presentations on what has been done so far towards improving
interoperability of data systems, which then will be followed by (2) an
extensive panel discussion session, with active audience participation, on
the main challenges of interoperability, and what the next steps are based
on the different needs of the various stakeholder groups. By the end of
this workshop, we aim to have a set of action items and recommendations for
next steps on how we can best move towards common APIs and metadata so data
repositories, publishers’ systems, and data services can better talk to
each other.

This event is free and open to all, including researchers, librarians,
archivists, publishers, funders, and software developers. Space is limited,
so if you haven't already registered for the Community Meeting, please
register
<http://projects.iq.harvard.edu/dataverse-community-meeting/register> at
your earliest convenience.

A tentative agenda is listed below with specific questions that we would
like all attendees of this workshop to review ahead of time and help us
answer, so please let us know <support at dataverse.org> if you have any
questions.

---------

*Common Models and APIs for Data Publishing and Citation Agenda (June 9)*

*Morning session* (moderator: Mercè Crosas)
9:00am-12:30pm - each talk is 30 min, with a short introduction by Mercè

*Question for Presenters: What are the current steps towards common APIs
and metadata so data repositories, publishers’ systems, and data services
(registrations, cataloging, discovering tools, research tools, ...) can
talk to each other?*

9:30-10:00am - Tim Clark - Data Citation Implementation guidelines
10:00-10:30am - John Kunze - Persistent Identifier services and their
metadata

10:30-11:00am - *Coffee break*

11:00-11:30am - Debbie Lapeyre - Including Data in the Standardized Markup
for Journal Articles (NISO JATS)
11:30am-12:00pm - Mark Wilkinson - Metadata Profiles for repositories: the
Meta-metadata
12:00-12:30pm - Sünje Dallmeier-Tiessen - Common Data Publishing workflows

12:30-1:30pm - *Lunch*

1:30-1:45pm - Eleni Castro (or Elizabeth Quigley) and Phil Durbin - Towards
a Common Deposit API (the Dataverse example)

*Panel Discussion* (moderated by Sünje Dallmeier-Tiessen and Tim Clark)
2:00-4:30pm - 5 min each (no slides), with panelists representing various
stakeholders: publishers, domain and general repositories, funding,
researchers, and industry, followed by an open discussion with the audience.

*Questions for Panel Discussion: What do various stakeholders want/need
from common APIs and metadata from repositories? What should be addressed
next (as a follow up of the talks about what's currently being addressed)?*

Panelists:
- Anita de Waard (publisher)
- funder panelist (to be confirmed...)
- repository panelist (to be confirmed...)
- August Muench (research & publishing, astronomy)
- Piotr Sliz (research, system biology)
- industry panelist (to be confirmed...)


Looking forward to seeing you all there.


Best,
Eleni

-- 

Eleni Castro

Research Coordinator, Data Acquisition and Archiving, Data Science

IQSS, Harvard University

http://www.iq.harvard.edu/people/eleni-castro




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